IrisRainbowNeko / ML-Danbooru-webui

webui extension of ML-Danbooru
Apache License 2.0
53 stars 2 forks source link

请问安装后在找不到使用的按钮? #4

Closed jackw111 closed 1 year ago

jackw111 commented 1 year ago

你好,为什么找不到使用的地方,请看截图 屏幕截图 2023-05-23 180331 屏幕截图 2023-05-23 180358

katana-hydra commented 1 year ago

I also came across this issue, logs are as follows:

SD-WebUI Launcher Diagnostic File

Date: 2023-05-24 14:46:34 Launcher Version: 2.2.4.0 Data File Version: 2023-05-13 09:37 SD-WebUI Version: 5ab7f213bec2f816f9c5644becb32eb72c8ffb89 (2023-05-02 14:20:35) Working Directory: D:\StableDiffusion\sd-webui-aki-v4

System Information: OS: Microsoft Windows NT 10.0.22621.0 CPU: 32 cores Memory Size: 16384 MB Page File Size: 39894 MB NVIDIA Driver Version: 531.79 NVIDIA Management Library Version: 12.531.79

CUDA: CUDA Version: 12010 CUDA Devices: 00000000:01:00.0 0: NVIDIA GeForce RTX 4060 Laptop GPU [89] 7 GB

DirectML: DirectML Devices: 10464 0: NVIDIA GeForce RTX 4060 Laptop GPU 7 GB 42888 1: Intel(R) UHD Graphics 0 GB

Available Engines: CUDA GPU 0: NVIDIA GeForce RTX 4060 Laptop GPU (8 GB) DML GPU 0: NVIDIA GeForce RTX 4060 Laptop GPU (8 GB) DML GPU 1: Intel(R) UHD Graphics (128 MB) Intel ARC (oneAPI XPU) CPU

Environment Variables: PROCESSOR_REVISION=b701 NVTOOLSEXT_PATH=C:\Program Files\NVIDIA Corporation\NvToolsExt\ CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8 NVVFX_MODEL_DIR=C:\Program Files\NVIDIA Corporation\NVIDIA Video Effects\models CUDA_PATH_V11_8=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8 SESSIONNAME=Console TMP=C:\Users\khan\AppData\Local\Temp COMPUTERNAME=LAPTOP-RB073IHN ZES_ENABLE_SYSMAN=1 LOCALAPPDATA=C:\Users\khan\AppData\Local CommonProgramFiles(x86)=C:\Program Files (x86)\Common Files CommonProgramW6432=C:\Program Files\Common Files LOGONSERVER=\LAPTOP-RB073IHN SystemDrive=C: RegionCode=APJ OnlineServices=Online Services HOMEPATH=\Users\khan ProgramFiles(x86)=C:\Program Files (x86) DriverData=C:\Windows\System32\Drivers\DriverData USERNAME=khan ProgramData=C:\ProgramData windir=C:\windows PROCESSOR_ARCHITECTURE=AMD64 EFC_39380=1 ProgramW6432=C:\Program Files CommonProgramFiles=C:\Program Files\Common Files PSModulePath=C:\Program Files\WindowsPowerShell\Modules;C:\windows\system32\WindowsPowerShell\v1.0\Modules ALLUSERSPROFILE=C:\ProgramData CUDA_HOME=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8 USERDOMAIN=LAPTOP-RB073IHN USERDOMAIN_ROAMINGPROFILE=LAPTOP-RB073IHN ProgramFiles=C:\Program Files SystemRoot=C:\windows APPDATA=C:\Users\khan\AppData\Roaming USERPROFILE=C:\Users\khan ComSpec=C:\windows\system32\cmd.exe PUBLIC=C:\Users\Public TEMP=C:\Users\khan\AppData\Local\Temp PROCESSOR_IDENTIFIER=Intel64 Family 6 Model 183 Stepping 1, GenuineIntel OS=Windows_NT platformcode=M7 PATHEXT=.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH;.MSC OneDrive=C:\Users\khan\OneDrive OneDriveConsumer=C:\Users\khan\OneDrive Path=D:\StableDiffusion\sd-webui-aki-v4\py310;D:\StableDiffusion\sd-webui-aki-v4\py310\Scripts;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;C:\windows\System32\OpenSSH\;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Users\Administrator\AppData\Local\Microsoft\WindowsApps;C:\Program Files\HP\OMEN-Broadcast\Common;C:\Program Files\dotnet\;C:\Program Files\Git\cmd;C:\Program Files\NVIDIA Corporation\Nsight Compute 2022.3.0\;D:\StableDiffusion\sd-webui-aki-v4\ninja;C:\Users\khan\AppData\Local\Programs\Python\Python311\Scripts\;C:\Users\khan\AppData\Local\Programs\Python\Python311\;C:\Users\khan\AppData\Local\Microsoft\WindowsApps;C:\Users\khan.dotnet\tools;C:\Users\khan.dotnet\tools;D:\StableDiffusion\sd-webui-aki-v4\py310;D:\StableDiffusion\sd-webui-aki-v4\py310\Scripts;D:\StableDiffusion\sd-webui-aki-v4\ninja; NUMBER_OF_PROCESSORS=32 HOMEDRIVE=C: PROCESSOR_LEVEL=6

Paths: Python: D:\StableDiffusion\sd-webui-aki-v4\py310\python.exe Git: D:\StableDiffusion\sd-webui-aki-v4\git\cmd\git.exe Cache Path: D:\StableDiffusion\sd-webui-aki-v4.cache

Config: Audience Type: 新手 Engine: CUDA GPU 0: NVIDIA GeForce RTX 4060 Laptop GPU (8 GB) [0] VRAM Optimization: None [None] Always Batch Cond Unconditional: False [False] Port: 7860 [7860] XAttn Optimization: AutoXformers [AutoXformers] Upcast Sampling: False [False] No Half: False [False] No Half VAE: False [False] Listen: False [False] Share: False [False] Server Name: [] Channels Last Optimization: False [False] Freeze Settings: False [False] API: True [True] No Web UI: False [False] UI Debug Mode: False [False] Use Accelerate: False [False] Use TextBox Seed: False [False] Enable Insecure Extension Access: False [False] Disable Safe Unpickle: False [False] Allow Code: False [False] Offline Mode: False [False] Disable NaN Check: True [False] Use Gradio Queue: False [False] No Gradio Queue: False [False] Skip Install: False [False] Cloud Localization: False [False] No Hashing: False [False] Fix Torch Save Encoding: True [True] Cuda Allocator Backend: Native [Native] Extra Args:

Network Preferences: Proxy Address: http://127.0.0.1:7890 Proxy Git: True Proxy Pip: True Proxy Model Download: True Proxy Env: True Mirror Pypi: False Mirror Git: False Mirror ExtensionList: False

config.json: { "disabled_extensions": [ "Cozy-Nest", "kitchen-theme" ], "samples_save": true, "samples_format": "png", "samples_filename_pattern": "", "save_images_add_number": true, "grid_save": true, "grid_format": "png", "grid_extended_filename": true, "grid_only_if_multiple": true, "grid_prevent_empty_spots": true, "n_rows": -1, "enable_pnginfo": true, "save_txt": false, "save_images_before_face_restoration": false, "save_images_before_highres_fix": true, "save_images_before_color_correction": false, "jpeg_quality": 100, "export_for_4chan": true, "use_original_name_batch": true, "use_upscaler_name_as_suffix": false, "save_selected_only": true, "do_not_add_watermark": false, "temp_dir": "", "clean_temp_dir_at_start": false, "outdir_samples": "", "outdir_txt2img_samples": "outputs/txt2img-images", "outdir_img2img_samples": "outputs/img2img-images", "outdir_extras_samples": "outputs/extras-images", "outdir_grids": "", "outdir_txt2img_grids": "outputs/txt2img-grids", "outdir_img2img_grids": "outputs/img2img-grids", "outdir_save": "log/images", "save_to_dirs": false, "grid_save_to_dirs": false, "use_save_to_dirs_for_ui": false, "directories_filename_pattern": "[date]", "directories_max_prompt_words": 8, "ESRGAN_tile": 192, "ESRGAN_tile_overlap": 8, "realesrgan_enabled_models": [ "R-ESRGAN 4x+", "R-ESRGAN 4x+ Anime6B", "R-ESRGAN General 4xV3", "R-ESRGAN General WDN 4xV3", "R-ESRGAN AnimeVideo", "R-ESRGAN 2x+" ], "upscaler_for_img2img": "R-ESRGAN 4x+", "face_restoration_model": "GFPGAN", "code_former_weight": 0.5, "face_restoration_unload": true, "show_warnings": false, "memmon_poll_rate": 8, "samples_log_stdout": false, "multiple_tqdm": true, "print_hypernet_extra": false, "unload_models_when_training": false, "pin_memory": false, "save_optimizer_state": false, "save_training_settings_to_txt": true, "dataset_filename_word_regex": "", "dataset_filename_join_string": " ", "training_image_repeats_per_epoch": 1, "training_write_csv_every": 500, "training_xattention_optimizations": false, "training_enable_tensorboard": false, "training_tensorboard_save_images": false, "training_tensorboard_flush_every": 120, "sd_model_checkpoint": "Universal\revAnimated_v122.safetensors [4199bcdd14]", "sd_checkpoint_cache": 0, "sd_vae_checkpoint_cache": 0, "sd_vae": "blessed2.vae.pt", "sd_vae_as_default": true, "inpainting_mask_weight": 1.0, "initial_noise_multiplier": 1.0, "img2img_color_correction": false, "img2img_fix_steps": false, "img2img_background_color": "#ffffff", "enable_quantization": false, "enable_emphasis": true, "enable_batch_seeds": true, "comma_padding_backtrack": 20, "CLIP_stop_at_last_layers": 2, "upcast_attn": false, "use_old_emphasis_implementation": false, "use_old_karras_scheduler_sigmas": false, "use_old_hires_fix_width_height": false, "interrogate_keep_models_in_memory": false, "interrogate_return_ranks": false, "interrogate_clip_num_beams": 1, "interrogate_clip_min_length": 24, "interrogate_clip_max_length": 48, "interrogate_clip_dict_limit": 1500, "interrogate_clip_skip_categories": [], "interrogate_deepbooru_score_threshold": 0.7, "deepbooru_sort_alpha": true, "deepbooru_use_spaces": false, "deepbooru_escape": true, "deepbooru_filter_tags": "", "extra_networks_default_view": "cards", "extra_networks_default_multiplier": 1.0, "sd_hypernetwork": "None", "return_grid": true, "do_not_show_images": false, "add_model_hash_to_info": true, "add_model_name_to_info": true, "disable_weights_auto_swap": true, "send_seed": true, "send_size": true, "font": "", "js_modal_lightbox": true, "js_modal_lightbox_initially_zoomed": true, "show_progress_in_title": true, "samplers_in_dropdown": false, "dimensions_and_batch_together": true, "keyedit_precision_attention": 0.1, "keyedit_precision_extra": 0.05, "quicksettings": "sd_model_checkpoint, sd_vae, CLIP_stop_at_last_layers", "ui_reorder": "inpaint, sampler, checkboxes, hires_fix, dimensions, cfg, seed, batch, override_settings, scripts", "ui_extra_networks_tab_reorder": "", "localization": "zh-Hans (Testing)", "show_progressbar": true, "live_previews_enable": true, "show_progress_grid": true, "show_progress_every_n_steps": 10, "show_progress_type": "Approx NN", "live_preview_content": "Prompt", "live_preview_refresh_period": 1000, "hide_samplers": [], "eta_ddim": 0.0, "eta_ancestral": 1.0, "ddim_discretize": "uniform", "s_churn": 0.0, "s_tmin": 0.0, "s_noise": 1.0, "eta_noise_seed_delta": 31337, "always_discard_next_to_last_sigma": false, "postprocessing_enable_in_main_ui": [], "postprocessing_operation_order": [], "upscaling_max_images_in_cache": 5, "sd_checkpoint_hash": "4199bcdd147e11328d5f3560301d5a7ab4ac7eeefbf49dc3eb663cb3e772b9ac", "ldsr_steps": 100, "ldsr_cached": false, "SWIN_tile": 192, "SWIN_tile_overlap": 8, "sd_lora": "None", "lora_apply_to_outputs": false, "tac_tagFile": "zh_cn.csv", "tac_active": true, "tac_activeIn.txt2img": true, "tac_activeIn.img2img": true, "tac_activeIn.negativePrompts": true, "tac_activeIn.thirdParty": true, "tac_activeIn.modelList": "", "tac_activeIn.modelListMode": "Blacklist", "tac_maxResults": 15.0, "tac_showAllResults": false, "tac_resultStepLength": 100.0, "tac_delayTime": 100.0, "tac_useWildcards": true, "tac_useEmbeddings": true, "tac_useHypernetworks": true, "tac_useLoras": true, "tac_showWikiLinks": true, "tac_replaceUnderscores": true, "tac_escapeParentheses": true, "tac_appendComma": true, "tac_alias.searchByAlias": true, "tac_alias.onlyShowAlias": false, "tac_translation.translationFile": "zh_cn_tr.csv", "tac_translation.oldFormat": false, "tac_translation.searchByTranslation": true, "tac_extra.extraFile": "danbooru.csv", "tac_extra.addMode": "Insert before", "additional_networks_extra_lora_path": "D:\StableDiffusion\sd-webui-aki-v4\models\Lora", "additional_networks_sort_models_by": "name", "additional_networks_reverse_sort_order": false, "additional_networks_model_name_filter": "", "additional_networks_xy_grid_model_metadata": "", "additional_networks_hash_thread_count": 1.0, "additional_networks_back_up_model_when_saving": true, "additional_networks_show_only_safetensors": false, "additional_networks_show_only_models_with_metadata": "disabled", "additional_networks_max_top_tags": 20.0, "additional_networks_max_dataset_folders": 20.0, "images_history_preload": false, "images_record_paths": true, "img_downscale_threshold": 4.0, "target_side_length": 4000.0, "no_dpmpp_sde_batch_determinism": false, "webp_lossless": true, "img_max_size_mp": 200.0, "extra_networks_add_text_separator": " , ", "hidden_tabs": [], "uni_pc_variant": "bh1", "uni_pc_skip_type": "time_uniform", "uni_pc_order": 3, "uni_pc_lower_order_final": true, "tac_slidingPopup": true, "tac_keymap": "{\n \"MoveUp\": \"ArrowUp\",\n \"MoveDown\": \"ArrowDown\",\n \"JumpUp\": \"PageUp\",\n \"JumpDown\": \"PageDown\",\n \"JumpToStart\": \"Home\",\n \"JumpToEnd\": \"End\",\n \"ChooseSelected\": \"Enter\",\n \"ChooseFirstOrSelected\": \"Tab\",\n \"Close\": \"Escape\"\n}", "tac_colormap": "{\n \"danbooru\": {\n \"-1\": [\"red\", \"maroon\"],\n \"0\": [\"lightblue\", \"dodgerblue\"],\n \"1\": [\"indianred\", \"firebrick\"],\n \"3\": [\"violet\", \"darkorchid\"],\n \"4\": [\"lightgreen\", \"darkgreen\"],\n \"5\": [\"orange\", \"darkorange\"]\n },\n \"e621\": {\n \"-1\": [\"red\", \"maroon\"],\n \"0\": [\"lightblue\", \"dodgerblue\"],\n \"1\": [\"gold\", \"goldenrod\"],\n \"3\": [\"violet\", \"darkorchid\"],\n \"4\": [\"lightgreen\", \"darkgreen\"],\n \"5\": [\"tomato\", \"darksalmon\"],\n \"6\": [\"red\", \"maroon\"],\n \"7\": [\"whitesmoke\", \"black\"],\n \"8\": [\"seagreen\", \"darkseagreen\"]\n }\n}", "control_net_model_config": "models\cldm_v15.yaml", "control_net_model_adapter_config": "models\sketch_adapter_v14.yaml", "control_net_detectedmap_dir": "detected_maps", "control_net_models_path": "", "control_net_max_models_num": 4, "control_net_model_cache_size": 1, "control_net_control_transfer": false, "control_net_no_detectmap": false, "control_net_detectmap_autosaving": false, "control_net_only_midctrl_hires": true, "control_net_allow_script_control": false, "control_net_skip_img2img_processing": false, "control_net_monocular_depth_optim": false, "control_net_only_mid_control": false, "control_net_cfg_based_guidance": true, "control_net_sync_field_args": false, "image_browser_delete_message": true, "image_browser_page_columns": 6.0, "image_browser_page_rows": 6.0, "image_browser_pages_perload": 20.0, "image_browser_active_tabs": "txt2img, img2img, txt2img-grids, img2img-grids, Extras, Favorites, Others", "disable_all_extensions": "none", "save_mask": false, "save_mask_composite": false, "extra_networks_card_width": 0.0, "extra_networks_card_height": 0.0, "sd_lyco": "None", "return_mask": false, "return_mask_composite": false, "polotno_api_key": "bHEpG9Rp0Nq9XrLcwFNu", "image_browser_hidden_components": [], "image_browser_with_subdirs": true, "image_browser_copy_image": false, "image_browser_txt_files": true, "image_browser_debug_level": "0 - none", "image_browser_delete_recycle": false, "image_browser_scan_exif": true, "image_browser_mod_shift": false, "image_browser_mod_ctrl_shift": false, "image_browser_enable_maint": true, "image_browser_ranking_pnginfo": false, "image_browser_use_thumbnail": false, "image_browser_thumbnail_size": 200.0, "image_browser_swipe": false, "state": [], "state_txt2img": [], "state_img2img": [], "state_extensions": [], "civitai_link_key": "", "civitai_link_logging": true, "civitai_api_key": "", "civitai_download_previews": true, "civitai_nsfw_previews": false, "civitai_download_missing_models": true, "civitai_hashify_resources": true, "civitai_folder_lora": "", "control_net_modules_path": "", "tac_useLycos": true, "control_net_high_res_only_mid": false, "controlnet_show_batch_images_in_ui": false, "controlnet_increment_seed_during_batch": false, "wildcards_same_seed": false, "wildcards_recursive": true, "wildcards_negative_prompts": true, "dp_ignore_whitespace": false, "dp_write_raw_template": false, "dp_write_prompts_to_file": false, "dp_parser_variant_start": "{", "dp_parser_variant_end": "}", "dp_parser_wildcard_wrap": "__", "dp_limit_jinja_prompts": false, "dp_auto_purge_cache": false, "dp_magicprompt_default_model": "Gustavosta/MagicPrompt-Stable-Diffusion", "dp_magicprompt_batch_size": 1, "dataset_editor_image_columns": 6.0, "dataset_editor_max_res": 0.0, "dataset_editor_use_temp_files": false, "dataset_editor_use_raw_clip_token": true, "bilingual_localization_enabled": false, "bilingual_localization_logger": false, "bilingual_localization_file": "zh-Hans (Testing)", "bilingual_localization_order": "Translation First", "canvas_editor_default_width": 1024, "canvas_editor_default_height": 1024, "image_browser_img_tooltips": true, "restore_config_state_file": "", "save_init_img": false, "outdir_init_images": "outputs/init-images", "SCUNET_tile": 256, "SCUNET_tile_overlap": 8, "randn_source": "GPU", "dont_fix_second_order_samplers_schedule": false, "keyedit_delimiters": ".,\/!?%^*;:{}=`~()", "gradio_theme": "gradio/soft", "s_min_uncond": 0, "image_browser_scoring_type": "aesthetic_score", "image_browser_show_progress": true, "images_delete_message": true, "images_history_page_columns": 6.0, "images_history_page_rows": 6.0, "images_history_pages_perload": 20.0, "tac_translation.liveTranslation": false, "tac_chantFile": "demo-chants.json", "ad_max_models": 2, "ad_save_previews": false, "ad_save_images_before": false, "ad_only_seleted_scripts": true, "ad_script_names": "dynamic_prompting,dynamic_thresholding,wildcards,wildcard_recursive", "ad_bbox_sortby": "None", "ctp_flavor": "mocha", "accent_color": "maroon", "artuitw_quicksettings2settings": true, "artuitw_settings2promptswidth": true, "artuitw_settings2promptsXratio": 0.5, "artuitw_galleryheightVH": 50 }

ui-config.json: { "txt2img/Prompt/visible": true, "txt2img/Prompt/value": "", "txt2img/Negative prompt/visible": true, "txt2img/Negative prompt/value": "", "txt2img/Styles/visible": true, "txt2img/Styles/value": [], "txt2img/Sampling method/visible": true, "txt2img/Sampling method/value": "Euler a", "txt2img/Sampling steps/visible": true, "txt2img/Sampling steps/value": 20, "txt2img/Sampling steps/minimum": 1, "txt2img/Sampling steps/maximum": 150, "txt2img/Sampling steps/step": 1, "txt2img/Width/visible": true, "txt2img/Width/value": 512, "txt2img/Width/minimum": 64, "txt2img/Width/maximum": 2048, "txt2img/Width/step": 8, "txt2img/Height/visible": true, "txt2img/Height/value": 512, "txt2img/Height/minimum": 64, "txt2img/Height/maximum": 2048, "txt2img/Height/step": 8, "txt2img/Batch count/visible": true, "txt2img/Batch count/value": 1, "txt2img/Batch count/minimum": 1, "txt2img/Batch count/maximum": 100, "txt2img/Batch count/step": 1, "txt2img/Batch size/visible": true, "txt2img/Batch size/value": 1, "txt2img/Batch size/minimum": 1, "txt2img/Batch size/maximum": 8, "txt2img/Batch size/step": 1, "txt2img/CFG Scale/visible": true, "txt2img/CFG Scale/value": 7.0, "txt2img/CFG Scale/minimum": 1.0, "txt2img/CFG Scale/maximum": 30.0, "txt2img/CFG Scale/step": 0.5, "txt2img/Seed/visible": true, "txt2img/Seed/value": -1.0, "txt2img/Extra/visible": true, "txt2img/Extra/value": false, "txt2img/Variation seed/visible": true, "txt2img/Variation seed/value": -1.0, "txt2img/Variation strength/visible": true, "txt2img/Variation strength/value": 0.0, "txt2img/Variation strength/minimum": 0, "txt2img/Variation strength/maximum": 1, "txt2img/Variation strength/step": 0.01, "txt2img/Resize seed from width/visible": true, "txt2img/Resize seed from width/value": 0, "txt2img/Resize seed from width/minimum": 0, "txt2img/Resize seed from width/maximum": 2048, "txt2img/Resize seed from width/step": 8, "txt2img/Resize seed from height/visible": true, "txt2img/Resize seed from height/value": 0, "txt2img/Resize seed from height/minimum": 0, "txt2img/Resize seed from height/maximum": 2048, "txt2img/Resize seed from height/step": 8, "txt2img/Restore faces/visible": true, "txt2img/Restore faces/value": false, "txt2img/Tiling/visible": true, "txt2img/Tiling/value": false, "txt2img/Hires. fix/visible": true, "txt2img/Hires. fix/value": false, "txt2img/Upscaler/visible": true, "txt2img/Upscaler/value": "Latent", "txt2img/Hires steps/visible": true, "txt2img/Hires steps/value": 0, "txt2img/Hires steps/minimum": 0, "txt2img/Hires steps/maximum": 150, "txt2img/Hires steps/step": 1, "txt2img/Denoising strength/visible": true, "txt2img/Denoising strength/value": 0.7, "txt2img/Denoising strength/minimum": 0.0, "txt2img/Denoising strength/maximum": 1.0, "txt2img/Denoising strength/step": 0.01, "txt2img/Upscale by/visible": true, "txt2img/Upscale by/value": 2.0, "txt2img/Upscale by/minimum": 1.0, "txt2img/Upscale by/maximum": 4.0, "txt2img/Upscale by/step": 0.05, "txt2img/Resize width to/visible": true, "txt2img/Resize width to/value": 0, "txt2img/Resize width to/minimum": 0, "txt2img/Resize width to/maximum": 2048, "txt2img/Resize width to/step": 8, "txt2img/Resize height to/visible": true, "txt2img/Resize height to/value": 0, "txt2img/Resize height to/minimum": 0, "txt2img/Resize height to/maximum": 2048, "txt2img/Resize height to/step": 8, "txt2img/Override settings/value": null, "customscript/additional_networks.py/txt2img/Enable/visible": true, "customscript/additional_networks.py/txt2img/Enable/value": false, "customscript/additional_networks.py/txt2img/Network module 1/visible": true, "customscript/additional_networks.py/txt2img/Network module 1/value": "LoRA", "customscript/additional_networks.py/txt2img/Model 1/visible": true, "customscript/additional_networks.py/txt2img/Model 1/value": "None", "customscript/additional_networks.py/txt2img/Weight 1/visible": true, "customscript/additional_networks.py/txt2img/Weight 1/value": 1.0, "customscript/additional_networks.py/txt2img/Weight 1/minimum": -1.0, "customscript/additional_networks.py/txt2img/Weight 1/maximum": 2.0, "customscript/additional_networks.py/txt2img/Weight 1/step": 0.05, "customscript/additional_networks.py/txt2img/Network module 2/visible": true, "customscript/additional_networks.py/txt2img/Network module 2/value": "LoRA", "customscript/additional_networks.py/txt2img/Model 2/visible": true, "customscript/additional_networks.py/txt2img/Model 2/value": "None", "customscript/additional_networks.py/txt2img/Weight 2/visible": true, "customscript/additional_networks.py/txt2img/Weight 2/value": 1.0, "customscript/additional_networks.py/txt2img/Weight 2/minimum": -1.0, "customscript/additional_networks.py/txt2img/Weight 2/maximum": 2.0, "customscript/additional_networks.py/txt2img/Weight 2/step": 0.05, "customscript/additional_networks.py/txt2img/Network module 3/visible": true, "customscript/additional_networks.py/txt2img/Network module 3/value": "LoRA", "customscript/additional_networks.py/txt2img/Model 3/visible": true, "customscript/additional_networks.py/txt2img/Model 3/value": "None", "customscript/additional_networks.py/txt2img/Weight 3/visible": true, "customscript/additional_networks.py/txt2img/Weight 3/value": 1.0, "customscript/additional_networks.py/txt2img/Weight 3/minimum": -1.0, "customscript/additional_networks.py/txt2img/Weight 3/maximum": 2.0, "customscript/additional_networks.py/txt2img/Weight 3/step": 0.05, "customscript/additional_networks.py/txt2img/Network module 4/visible": true, "customscript/additional_networks.py/txt2img/Network module 4/value": "LoRA", "customscript/additional_networks.py/txt2img/Model 4/visible": true, "customscript/additional_networks.py/txt2img/Model 4/value": "None", "customscript/additional_networks.py/txt2img/Weight 4/visible": true, "customscript/additional_networks.py/txt2img/Weight 4/value": 1.0, "customscript/additional_networks.py/txt2img/Weight 4/minimum": -1.0, "customscript/additional_networks.py/txt2img/Weight 4/maximum": 2.0, "customscript/additional_networks.py/txt2img/Weight 4/step": 0.05, "customscript/additional_networks.py/txt2img/Network module 5/visible": true, "customscript/additional_networks.py/txt2img/Network module 5/value": "LoRA", "customscript/additional_networks.py/txt2img/Model 5/visible": true, "customscript/additional_networks.py/txt2img/Model 5/value": "None", "customscript/additional_networks.py/txt2img/Weight 5/visible": true, "customscript/additional_networks.py/txt2img/Weight 5/value": 1.0, "customscript/additional_networks.py/txt2img/Weight 5/minimum": -1.0, "customscript/additional_networks.py/txt2img/Weight 5/maximum": 2.0, "customscript/additional_networks.py/txt2img/Weight 5/step": 0.05, "customscript/aesthetic.py/txt2img/Aesthetic weight/visible": true, "customscript/aesthetic.py/txt2img/Aesthetic weight/value": 0.9, "customscript/aesthetic.py/txt2img/Aesthetic weight/minimum": 0, "customscript/aesthetic.py/txt2img/Aesthetic weight/maximum": 1, "customscript/aesthetic.py/txt2img/Aesthetic weight/step": 0.01, "customscript/aesthetic.py/txt2img/Aesthetic steps/visible": true, "customscript/aesthetic.py/txt2img/Aesthetic steps/value": 5, "customscript/aesthetic.py/txt2img/Aesthetic steps/minimum": 0, "customscript/aesthetic.py/txt2img/Aesthetic steps/maximum": 50, "customscript/aesthetic.py/txt2img/Aesthetic steps/step": 1, "customscript/aesthetic.py/txt2img/Aesthetic learning rate/visible": true, "customscript/aesthetic.py/txt2img/Aesthetic learning rate/value": "0.0001", "customscript/aesthetic.py/txt2img/Slerp interpolation/visible": true, "customscript/aesthetic.py/txt2img/Slerp interpolation/value": false, "customscript/aesthetic.py/txt2img/Aesthetic imgs embedding/visible": true, "customscript/aesthetic.py/txt2img/Aesthetic imgs embedding/value": "None", "customscript/aesthetic.py/txt2img/Aesthetic text for imgs/visible": true, "customscript/aesthetic.py/txt2img/Aesthetic text for imgs/value": "", "customscript/aesthetic.py/txt2img/Slerp angle/visible": true, "customscript/aesthetic.py/txt2img/Slerp angle/value": 0.1, "customscript/aesthetic.py/txt2img/Slerp angle/minimum": 0, "customscript/aesthetic.py/txt2img/Slerp angle/maximum": 1, "customscript/aesthetic.py/txt2img/Slerp angle/step": 0.01, "customscript/aesthetic.py/txt2img/Is negative text/visible": true, "customscript/aesthetic.py/txt2img/Is negative text/value": false, "txt2img/Script/visible": true, "txt2img/Script/value": "None", "customscript/prompt_matrix.py/txt2img/Put variable parts at start of prompt/visible": true, "customscript/prompt_matrix.py/txt2img/Put variable parts at start of prompt/value": false, "customscript/prompt_matrix.py/txt2img/Use different seed for each picture/visible": true, "customscript/prompt_matrix.py/txt2img/Use different seed for each picture/value": false, "customscript/prompt_matrix.py/txt2img/Select prompt/visible": true, "customscript/prompt_matrix.py/txt2img/Select prompt/value": "positive", "customscript/prompt_matrix.py/txt2img/Select joining char/visible": true, "customscript/prompt_matrix.py/txt2img/Select joining char/value": "comma", "customscript/prompt_matrix.py/txt2img/Grid margins (px)/visible": true, "customscript/prompt_matrix.py/txt2img/Grid margins (px)/value": 0, "customscript/prompt_matrix.py/txt2img/Grid margins (px)/minimum": 0, "customscript/prompt_matrix.py/txt2img/Grid margins (px)/maximum": 500, "customscript/prompt_matrix.py/txt2img/Grid margins (px)/step": 2, "customscript/prompts_from_file.py/txt2img/Iterate seed every line/visible": true, "customscript/prompts_from_file.py/txt2img/Iterate seed every line/value": false, "customscript/prompts_from_file.py/txt2img/Use same random seed for all lines/visible": true, "customscript/prompts_from_file.py/txt2img/Use same random seed for all lines/value": false, "customscript/prompts_from_file.py/txt2img/List of prompt inputs/visible": true, "customscript/prompts_from_file.py/txt2img/List of prompt inputs/value": "", "customscript/xyz_grid.py/txt2img/X type/visible": true, "customscript/xyz_grid.py/txt2img/X type/value": "Seed", "customscript/xyz_grid.py/txt2img/X values/visible": true, "customscript/xyz_grid.py/txt2img/X values/value": "", "customscript/xyz_grid.py/txt2img/Y type/visible": true, "customscript/xyz_grid.py/txt2img/Y type/value": "Nothing", "customscript/xyz_grid.py/txt2img/Y values/visible": true, "customscript/xyz_grid.py/txt2img/Y values/value": "", "customscript/xyz_grid.py/txt2img/Z type/visible": true, "customscript/xyz_grid.py/txt2img/Z type/value": "Nothing", "customscript/xyz_grid.py/txt2img/Z values/visible": true, "customscript/xyz_grid.py/txt2img/Z values/value": "", "customscript/xyz_grid.py/txt2img/Draw legend/visible": true, "customscript/xyz_grid.py/txt2img/Draw legend/value": true, "customscript/xyz_grid.py/txt2img/Keep -1 for seeds/visible": true, "customscript/xyz_grid.py/txt2img/Keep -1 for seeds/value": false, "customscript/xyz_grid.py/txt2img/Include Sub Images/visible": true, "customscript/xyz_grid.py/txt2img/Include Sub Images/value": false, "customscript/xyz_grid.py/txt2img/Include Sub Grids/visible": true, "customscript/xyz_grid.py/txt2img/Include Sub Grids/value": false, "customscript/xyz_grid.py/txt2img/Grid margins (px)/visible": true, "customscript/xyz_grid.py/txt2img/Grid margins (px)/value": 0, "customscript/xyz_grid.py/txt2img/Grid margins (px)/minimum": 0, "customscript/xyz_grid.py/txt2img/Grid margins (px)/maximum": 500, "customscript/xyz_grid.py/txt2img/Grid margins (px)/step": 2, "img2img/Prompt/visible": true, "img2img/Prompt/value": "", "img2img/Negative prompt/visible": true, "img2img/Negative prompt/value": "", "img2img/Styles/visible": true, "img2img/Styles/value": [], "img2img/Input directory/visible": true, "img2img/Input directory/value": "", "img2img/Output directory/visible": true, "img2img/Output directory/value": "", "img2img/Inpaint batch mask directory (required for inpaint batch processing only)/visible": true, "img2img/Inpaint batch mask directory (required for inpaint batch processing only)/value": "", "img2img/Resize mode/visible": true, "img2img/Resize mode/value": "Just resize", "img2img/Mask blur/visible": true, "img2img/Mask blur/value": 4, "img2img/Mask blur/minimum": 0, "img2img/Mask blur/maximum": 64, "img2img/Mask blur/step": 1, "img2img/Mask transparency/value": 0, "img2img/Mask transparency/minimum": 0, "img2img/Mask transparency/maximum": 100, "img2img/Mask transparency/step": 1, "img2img/Mask mode/visible": true, "img2img/Mask mode/value": "Inpaint masked", "img2img/Masked content/visible": true, "img2img/Masked content/value": "original", "img2img/Inpaint area/visible": true, "img2img/Inpaint area/value": "Whole picture", "img2img/Only masked padding, pixels/visible": true, "img2img/Only masked padding, pixels/value": 32, "img2img/Only masked padding, pixels/minimum": 0, "img2img/Only masked padding, pixels/maximum": 256, "img2img/Only masked padding, pixels/step": 4, "img2img/Sampling method/visible": true, "img2img/Sampling method/value": "Euler a", "img2img/Sampling steps/visible": true, "img2img/Sampling steps/value": 20, "img2img/Sampling steps/minimum": 1, "img2img/Sampling steps/maximum": 150, "img2img/Sampling steps/step": 1, "img2img/Width/visible": true, "img2img/Width/value": 512, "img2img/Width/minimum": 64, "img2img/Width/maximum": 2048, "img2img/Width/step": 8, "img2img/Height/visible": true, "img2img/Height/value": 512, "img2img/Height/minimum": 64, "img2img/Height/maximum": 2048, "img2img/Height/step": 8, "img2img/Batch count/visible": true, "img2img/Batch count/value": 1, "img2img/Batch count/minimum": 1, "img2img/Batch count/maximum": 100, "img2img/Batch count/step": 1, "img2img/Batch size/visible": true, "img2img/Batch size/value": 1, "img2img/Batch size/minimum": 1, "img2img/Batch size/maximum": 8, "img2img/Batch size/step": 1, "img2img/CFG Scale/visible": true, "img2img/CFG Scale/value": 7.0, "img2img/CFG Scale/minimum": 1.0, "img2img/CFG Scale/maximum": 30.0, "img2img/CFG Scale/step": 0.5, "img2img/Image CFG Scale/value": 1.5, "img2img/Image CFG Scale/minimum": 0, "img2img/Image CFG Scale/maximum": 3.0, "img2img/Image CFG Scale/step": 0.05, "img2img/Denoising strength/visible": true, "img2img/Denoising strength/value": 0.75, "img2img/Denoising strength/minimum": 0.0, "img2img/Denoising strength/maximum": 1.0, "img2img/Denoising strength/step": 0.01, "img2img/Seed/visible": true, "img2img/Seed/value": -1.0, "img2img/Extra/visible": true, "img2img/Extra/value": false, "img2img/Variation seed/visible": true, "img2img/Variation seed/value": -1.0, "img2img/Variation strength/visible": true, "img2img/Variation strength/value": 0.0, "img2img/Variation strength/minimum": 0, "img2img/Variation strength/maximum": 1, "img2img/Variation strength/step": 0.01, "img2img/Resize seed from width/visible": true, "img2img/Resize seed from width/value": 0, "img2img/Resize seed from width/minimum": 0, "img2img/Resize seed from width/maximum": 2048, "img2img/Resize seed from width/step": 8, "img2img/Resize seed from height/visible": true, "img2img/Resize seed from height/value": 0, "img2img/Resize seed from height/minimum": 0, "img2img/Resize seed from height/maximum": 2048, "img2img/Resize seed from height/step": 8, "img2img/Restore faces/visible": true, "img2img/Restore faces/value": false, "img2img/Tiling/visible": true, "img2img/Tiling/value": false, "img2img/Override settings/value": null, "customscript/additional_networks.py/img2img/Enable/visible": true, "customscript/additional_networks.py/img2img/Enable/value": false, "customscript/additional_networks.py/img2img/Network module 1/visible": true, "customscript/additional_networks.py/img2img/Network module 1/value": "LoRA", "customscript/additional_networks.py/img2img/Model 1/visible": true, "customscript/additional_networks.py/img2img/Model 1/value": "None", "customscript/additional_networks.py/img2img/Weight 1/visible": true, "customscript/additional_networks.py/img2img/Weight 1/value": 1.0, "customscript/additional_networks.py/img2img/Weight 1/minimum": -1.0, "customscript/additional_networks.py/img2img/Weight 1/maximum": 2.0, "customscript/additional_networks.py/img2img/Weight 1/step": 0.05, "customscript/additional_networks.py/img2img/Network module 2/visible": true, "customscript/additional_networks.py/img2img/Network module 2/value": "LoRA", "customscript/additional_networks.py/img2img/Model 2/visible": true, "customscript/additional_networks.py/img2img/Model 2/value": "None", "customscript/additional_networks.py/img2img/Weight 2/visible": true, "customscript/additional_networks.py/img2img/Weight 2/value": 1.0, "customscript/additional_networks.py/img2img/Weight 2/minimum": -1.0, "customscript/additional_networks.py/img2img/Weight 2/maximum": 2.0, "customscript/additional_networks.py/img2img/Weight 2/step": 0.05, "customscript/additional_networks.py/img2img/Network module 3/visible": true, "customscript/additional_networks.py/img2img/Network module 3/value": "LoRA", "customscript/additional_networks.py/img2img/Model 3/visible": true, "customscript/additional_networks.py/img2img/Model 3/value": "None", "customscript/additional_networks.py/img2img/Weight 3/visible": true, "customscript/additional_networks.py/img2img/Weight 3/value": 1.0, "customscript/additional_networks.py/img2img/Weight 3/minimum": -1.0, "customscript/additional_networks.py/img2img/Weight 3/maximum": 2.0, "customscript/additional_networks.py/img2img/Weight 3/step": 0.05, "customscript/additional_networks.py/img2img/Network module 4/visible": true, "customscript/additional_networks.py/img2img/Network module 4/value": "LoRA", "customscript/additional_networks.py/img2img/Model 4/visible": true, "customscript/additional_networks.py/img2img/Model 4/value": "None", "customscript/additional_networks.py/img2img/Weight 4/visible": true, "customscript/additional_networks.py/img2img/Weight 4/value": 1.0, "customscript/additional_networks.py/img2img/Weight 4/minimum": -1.0, "customscript/additional_networks.py/img2img/Weight 4/maximum": 2.0, "customscript/additional_networks.py/img2img/Weight 4/step": 0.05, "customscript/additional_networks.py/img2img/Network module 5/visible": true, "customscript/additional_networks.py/img2img/Network module 5/value": "LoRA", "customscript/additional_networks.py/img2img/Model 5/visible": true, "customscript/additional_networks.py/img2img/Model 5/value": "None", "customscript/additional_networks.py/img2img/Weight 5/visible": true, "customscript/additional_networks.py/img2img/Weight 5/value": 1.0, "customscript/additional_networks.py/img2img/Weight 5/minimum": -1.0, "customscript/additional_networks.py/img2img/Weight 5/maximum": 2.0, "customscript/additional_networks.py/img2img/Weight 5/step": 0.05, "customscript/aesthetic.py/img2img/Aesthetic weight/visible": true, "customscript/aesthetic.py/img2img/Aesthetic weight/value": 0.9, "customscript/aesthetic.py/img2img/Aesthetic weight/minimum": 0, "customscript/aesthetic.py/img2img/Aesthetic weight/maximum": 1, "customscript/aesthetic.py/img2img/Aesthetic weight/step": 0.01, "customscript/aesthetic.py/img2img/Aesthetic steps/visible": true, "customscript/aesthetic.py/img2img/Aesthetic steps/value": 5, "customscript/aesthetic.py/img2img/Aesthetic steps/minimum": 0, "customscript/aesthetic.py/img2img/Aesthetic steps/maximum": 50, "customscript/aesthetic.py/img2img/Aesthetic steps/step": 1, "customscript/aesthetic.py/img2img/Aesthetic learning rate/visible": true, "customscript/aesthetic.py/img2img/Aesthetic learning rate/value": "0.0001", "customscript/aesthetic.py/img2img/Slerp interpolation/visible": true, "customscript/aesthetic.py/img2img/Slerp interpolation/value": false, "customscript/aesthetic.py/img2img/Aesthetic imgs embedding/visible": true, "customscript/aesthetic.py/img2img/Aesthetic imgs embedding/value": "None", "customscript/aesthetic.py/img2img/Aesthetic text for imgs/visible": true, "customscript/aesthetic.py/img2img/Aesthetic text for imgs/value": "", "customscript/aesthetic.py/img2img/Slerp angle/visible": true, "customscript/aesthetic.py/img2img/Slerp angle/value": 0.1, "customscript/aesthetic.py/img2img/Slerp angle/minimum": 0, "customscript/aesthetic.py/img2img/Slerp angle/maximum": 1, "customscript/aesthetic.py/img2img/Slerp angle/step": 0.01, "customscript/aesthetic.py/img2img/Is negative text/visible": true, "customscript/aesthetic.py/img2img/Is negative text/value": false, "img2img/Script/visible": true, "img2img/Script/value": "None", "customscript/img2imgalt.py/img2img/Override Sampling method to Euler?(this method is built for it)/visible": true, "customscript/img2imgalt.py/img2img/Override Sampling method to Euler?(this method is built for it)/value": true, "customscript/img2imgalt.py/img2img/Override prompt to the same value as original prompt?(and negative prompt)/visible": true, "customscript/img2imgalt.py/img2img/Override prompt to the same value as original prompt?(and negative prompt)/value": true, "customscript/img2imgalt.py/img2img/Original prompt/visible": true, "customscript/img2imgalt.py/img2img/Original prompt/value": "", "customscript/img2imgalt.py/img2img/Original negative prompt/visible": true, "customscript/img2imgalt.py/img2img/Original negative prompt/value": "", "customscript/img2imgalt.py/img2img/Override Sampling Steps to the same value as Decode steps?/visible": true, "customscript/img2imgalt.py/img2img/Override Sampling Steps to the same value as Decode steps?/value": true, "customscript/img2imgalt.py/img2img/Decode steps/visible": true, "customscript/img2imgalt.py/img2img/Decode steps/value": 50, "customscript/img2imgalt.py/img2img/Decode steps/minimum": 1, "customscript/img2imgalt.py/img2img/Decode steps/maximum": 150, "customscript/img2imgalt.py/img2img/Decode steps/step": 1, "customscript/img2imgalt.py/img2img/Override Denoising strength to 1?/visible": true, "customscript/img2imgalt.py/img2img/Override Denoising strength to 1?/value": true, "customscript/img2imgalt.py/img2img/Decode CFG scale/visible": true, "customscript/img2imgalt.py/img2img/Decode CFG scale/value": 1.0, "customscript/img2imgalt.py/img2img/Decode CFG scale/minimum": 0.0, "customscript/img2imgalt.py/img2img/Decode CFG scale/maximum": 15.0, "customscript/img2imgalt.py/img2img/Decode CFG scale/step": 0.1, "customscript/img2imgalt.py/img2img/Randomness/visible": true, "customscript/img2imgalt.py/img2img/Randomness/value": 0.0, "customscript/img2imgalt.py/img2img/Randomness/minimum": 0.0, "customscript/img2imgalt.py/img2img/Randomness/maximum": 1.0, "customscript/img2imgalt.py/img2img/Randomness/step": 0.01, "customscript/img2imgalt.py/img2img/Sigma adjustment for finding noise for image/visible": true, "customscript/img2imgalt.py/img2img/Sigma adjustment for finding noise for image/value": false, "customscript/loopback.py/img2img/Loops/visible": true, "customscript/loopback.py/img2img/Loops/value": 4, "customscript/loopback.py/img2img/Loops/minimum": 1, "customscript/loopback.py/img2img/Loops/maximum": 32, "customscript/loopback.py/img2img/Loops/step": 1, "customscript/loopback.py/img2img/Denoising strength change factor/visible": true, "customscript/loopback.py/img2img/Denoising strength change factor/value": 1, "customscript/loopback.py/img2img/Denoising strength change factor/minimum": 0.9, "customscript/loopback.py/img2img/Denoising strength change factor/maximum": 1.1, "customscript/loopback.py/img2img/Denoising strength change factor/step": 0.01, "customscript/loopback.py/img2img/Append interrogated prompt at each iteration/visible": true, "customscript/loopback.py/img2img/Append interrogated prompt at each iteration/value": "None", "customscript/outpainting_mk_2.py/img2img/Pixels to expand/visible": true, "customscript/outpainting_mk_2.py/img2img/Pixels to expand/value": 128, "customscript/outpainting_mk_2.py/img2img/Pixels to expand/minimum": 8, "customscript/outpainting_mk_2.py/img2img/Pixels to expand/maximum": 256, "customscript/outpainting_mk_2.py/img2img/Pixels to expand/step": 8, "customscript/outpainting_mk_2.py/img2img/Mask blur/visible": true, "customscript/outpainting_mk_2.py/img2img/Mask blur/value": 8, "customscript/outpainting_mk_2.py/img2img/Mask blur/minimum": 0, "customscript/outpainting_mk_2.py/img2img/Mask blur/maximum": 64, "customscript/outpainting_mk_2.py/img2img/Mask blur/step": 1, "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/visible": true, "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/value": 1.0, "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/minimum": 0.0, "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/maximum": 4.0, "customscript/outpainting_mk_2.py/img2img/Fall-off exponent (lower=higher detail)/step": 0.01, "customscript/outpainting_mk_2.py/img2img/Color variation/visible": true, "customscript/outpainting_mk_2.py/img2img/Color variation/value": 0.05, "customscript/outpainting_mk_2.py/img2img/Color variation/minimum": 0.0, "customscript/outpainting_mk_2.py/img2img/Color variation/maximum": 1.0, "customscript/outpainting_mk_2.py/img2img/Color variation/step": 0.01, "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/visible": true, "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/value": 128, "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/minimum": 8, "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/maximum": 256, "customscript/poor_mans_outpainting.py/img2img/Pixels to expand/step": 8, "customscript/poor_mans_outpainting.py/img2img/Mask blur/visible": true, "customscript/poor_mans_outpainting.py/img2img/Mask blur/value": 4, "customscript/poor_mans_outpainting.py/img2img/Mask blur/minimum": 0, "customscript/poor_mans_outpainting.py/img2img/Mask blur/maximum": 64, "customscript/poor_mans_outpainting.py/img2img/Mask blur/step": 1, "customscript/poor_mans_outpainting.py/img2img/Masked content/visible": true, "customscript/poor_mans_outpainting.py/img2img/Masked content/value": "fill", "customscript/prompt_matrix.py/img2img/Put variable parts at start of prompt/visible": true, "customscript/prompt_matrix.py/img2img/Put variable parts at start of prompt/value": false, "customscript/prompt_matrix.py/img2img/Use different seed for each picture/visible": true, "customscript/prompt_matrix.py/img2img/Use different seed for each picture/value": false, "customscript/prompt_matrix.py/img2img/Select prompt/visible": true, "customscript/prompt_matrix.py/img2img/Select prompt/value": "positive", "customscript/prompt_matrix.py/img2img/Select joining char/visible": true, "customscript/prompt_matrix.py/img2img/Select joining char/value": "comma", "customscript/prompt_matrix.py/img2img/Grid margins (px)/visible": true, "customscript/prompt_matrix.py/img2img/Grid margins (px)/value": 0, "customscript/prompt_matrix.py/img2img/Grid margins (px)/minimum": 0, "customscript/prompt_matrix.py/img2img/Grid margins (px)/maximum": 500, "customscript/prompt_matrix.py/img2img/Grid margins (px)/step": 2, "customscript/prompts_from_file.py/img2img/Iterate seed every line/visible": true, "customscript/prompts_from_file.py/img2img/Iterate seed every line/value": false, "customscript/prompts_from_file.py/img2img/Use same random seed for all lines/visible": true, "customscript/prompts_from_file.py/img2img/Use same random seed for all lines/value": false, "customscript/prompts_from_file.py/img2img/List of prompt inputs/visible": true, "customscript/prompts_from_file.py/img2img/List of prompt inputs/value": "", "customscript/sd_upscale.py/img2img/Tile overlap/visible": true, "customscript/sd_upscale.py/img2img/Tile overlap/value": 64, "customscript/sd_upscale.py/img2img/Tile overlap/minimum": 0, "customscript/sd_upscale.py/img2img/Tile overlap/maximum": 256, "customscript/sd_upscale.py/img2img/Tile overlap/step": 16, "customscript/sd_upscale.py/img2img/Scale Factor/visible": true, "customscript/sd_upscale.py/img2img/Scale Factor/value": 2.0, "customscript/sd_upscale.py/img2img/Scale Factor/minimum": 1.0, "customscript/sd_upscale.py/img2img/Scale Factor/maximum": 4.0, "customscript/sd_upscale.py/img2img/Scale Factor/step": 0.05, "customscript/sd_upscale.py/img2img/Upscaler/visible": true, "customscript/sd_upscale.py/img2img/Upscaler/value": "None", "customscript/xyz_grid.py/img2img/X type/visible": true, "customscript/xyz_grid.py/img2img/X type/value": "Seed", "customscript/xyz_grid.py/img2img/X values/visible": true, "customscript/xyz_grid.py/img2img/X values/value": "", "customscript/xyz_grid.py/img2img/Y type/visible": true, "customscript/xyz_grid.py/img2img/Y type/value": "Nothing", "customscript/xyz_grid.py/img2img/Y values/visible": true, "customscript/xyz_grid.py/img2img/Y values/value": "", "customscript/xyz_grid.py/img2img/Z type/visible": true, "customscript/xyz_grid.py/img2img/Z type/value": "Nothing", "customscript/xyz_grid.py/img2img/Z values/visible": true, "customscript/xyz_grid.py/img2img/Z values/value": "", "customscript/xyz_grid.py/img2img/Draw legend/visible": true, "customscript/xyz_grid.py/img2img/Draw legend/value": true, "customscript/xyz_grid.py/img2img/Keep -1 for seeds/visible": true, "customscript/xyz_grid.py/img2img/Keep -1 for seeds/value": false, "customscript/xyz_grid.py/img2img/Include Sub Images/visible": true, "customscript/xyz_grid.py/img2img/Include Sub Images/value": false, "customscript/xyz_grid.py/img2img/Include Sub Grids/visible": true, "customscript/xyz_grid.py/img2img/Include Sub Grids/value": false, "customscript/xyz_grid.py/img2img/Grid margins (px)/visible": true, "customscript/xyz_grid.py/img2img/Grid margins (px)/value": 0, "customscript/xyz_grid.py/img2img/Grid margins (px)/minimum": 0, "customscript/xyz_grid.py/img2img/Grid margins (px)/maximum": 500, "customscript/xyz_grid.py/img2img/Grid margins (px)/step": 2, "extras/Input directory/visible": true, "extras/Input directory/value": "", "extras/Output directory/visible": true, "extras/Output directory/value": "", "extras/Show result images/visible": true, "extras/Show result images/value": true, "customscript/postprocessing_upscale.py/extras/Resize/visible": true, "customscript/postprocessing_upscale.py/extras/Resize/value": 4, "customscript/postprocessing_upscale.py/extras/Resize/minimum": 1.0, "customscript/postprocessing_upscale.py/extras/Resize/maximum": 8.0, "customscript/postprocessing_upscale.py/extras/Resize/step": 0.05, "customscript/postprocessing_upscale.py/extras/Width/visible": true, "customscript/postprocessing_upscale.py/extras/Width/value": 512, "customscript/postprocessing_upscale.py/extras/Height/visible": true, "customscript/postprocessing_upscale.py/extras/Height/value": 512, "customscript/postprocessing_upscale.py/extras/Crop to fit/visible": true, "customscript/postprocessing_upscale.py/extras/Crop to fit/value": true, "customscript/postprocessing_upscale.py/extras/Upscaler 1/visible": true, "customscript/postprocessing_upscale.py/extras/Upscaler 1/value": "None", "customscript/postprocessing_upscale.py/extras/Upscaler 2/visible": true, "customscript/postprocessing_upscale.py/extras/Upscaler 2/value": "None", "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/visible": true, "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/value": 0.0, "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/minimum": 0.0, "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/maximum": 1.0, "customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/step": 0.001, "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/visible": true, "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/value": 0, "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/minimum": 0.0, "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/maximum": 1.0, "customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/step": 0.001, "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/visible": true, "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/value": 0, "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/minimum": 0.0, "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/maximum": 1.0, "customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/step": 0.001, "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/visible": true, "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/value": 0, "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/minimum": 0.0, "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/maximum": 1.0, "customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/step": 0.001, "modelmerger/Primary model (A)/visible": true, "modelmerger/Primary model (A)/value": null, "modelmerger/Secondary model (B)/visible": true, "modelmerger/Secondary model (B)/value": null, "modelmerger/Tertiary model (C)/visible": true, "modelmerger/Tertiary model (C)/value": null, "modelmerger/Custom Name (Optional)/visible": true, "modelmerger/Custom Name (Optional)/value": "", "modelmerger/Multiplier (M) - set to 0 to get model A/visible": true, "modelmerger/Multiplier (M) - set to 0 to get model A/value": 0.3, "modelmerger/Multiplier (M) - set to 0 to get model A/minimum": 0.0, "modelmerger/Multiplier (M) - set to 0 to get model A/maximum": 1.0, "modelmerger/Multiplier (M) - set to 0 to get model A/step": 0.05, "modelmerger/Interpolation Method/visible": true, "modelmerger/Interpolation Method/value": "Weighted sum", "modelmerger/Checkpoint format/visible": true, "modelmerger/Checkpoint format/value": "ckpt", "modelmerger/Save as float16/visible": true, "modelmerger/Save as float16/value": false, "modelmerger/Copy config from/visible": true, "modelmerger/Copy config from/value": "A, B or C", "modelmerger/Bake in VAE/visible": true, "modelmerger/Bake in VAE/value": "None", "modelmerger/Discard weights with matching name/visible": true, "modelmerger/Discard weights with matching name/value": "", "train/Name/visible": true, "train/Name/value": "", "train/Initialization text/visible": true, "train/Initialization text/value": "*", "train/Number of vectors per token/visible": true, "train/Number of vectors per token/value": 1, "train/Number of vectors per token/minimum": 1, "train/Number of vectors per token/maximum": 75, "train/Number of vectors per token/step": 1, "train/Overwrite Old Embedding/visible": true, "train/Overwrite Old Embedding/value": false, "train/Enter hypernetwork layer structure/visible": true, "train/Enter hypernetwork layer structure/value": "1, 2, 1", "train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/visible": true, "train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/value": "linear", "train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/visible": true, "train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/value": "Normal", "train/Add layer normalization/visible": true, "train/Add layer normalization/value": false, "train/Use dropout/visible": true, "train/Use dropout/value": false, "train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/visible": true, "train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/value": "0, 0, 0", "train/Overwrite Old Hypernetwork/visible": true, "train/Overwrite Old Hypernetwork/value": false, "train/Source directory/visible": true, "train/Source directory/value": "", "train/Destination directory/visible": true, "train/Destination directory/value": "", "train/Width/visible": true, "train/Width/value": 512, "train/Width/minimum": 64, "train/Width/maximum": 2048, "train/Width/step": 8, "train/Height/visible": true, "train/Height/value": 512, "train/Height/minimum": 64, "train/Height/maximum": 2048, "train/Height/step": 8, "train/Existing Caption txt Action/visible": true, "train/Existing Caption txt Action/value": "ignore", "train/Create flipped copies/visible": true, "train/Create flipped copies/value": false, "train/Split oversized images/visible": true, "train/Split oversized images/value": false, "train/Auto focal point crop/visible": true, "train/Auto focal point crop/value": false, "train/Auto-sized crop/visible": true, "train/Auto-sized crop/value": false, "train/Use BLIP for caption/visible": true, "train/Use BLIP for caption/value": false, "train/Use deepbooru for caption/visible": true, "train/Use deepbooru for caption/value": false, "train/Split image threshold/visible": true, "train/Split image threshold/value": 0.5, "train/Split image threshold/minimum": 0.0, "train/Split image threshold/maximum": 1.0, "train/Split image threshold/step": 0.05, "train/Split image overlap ratio/visible": true, "train/Split image overlap ratio/value": 0.2, "train/Split image overlap ratio/minimum": 0.0, "train/Split image overlap ratio/maximum": 0.9, "train/Split image overlap ratio/step": 0.05, "train/Focal point face weight/visible": true, "train/Focal point face weight/value": 0.9, "train/Focal point face weight/minimum": 0.0, "train/Focal point face weight/maximum": 1.0, "train/Focal point face weight/step": 0.05, "train/Focal point entropy weight/visible": true, "train/Focal point entropy weight/value": 0.15, "train/Focal point entropy weight/minimum": 0.0, "train/Focal point entropy weight/maximum": 1.0, "train/Focal point entropy weight/step": 0.05, "train/Focal point edges weight/visible": true, "train/Focal point edges weight/value": 0.5, "train/Focal point edges weight/minimum": 0.0, "train/Focal point edges weight/maximum": 1.0, "train/Focal point edges weight/step": 0.05, "train/Create debug image/visible": true, "train/Create debug image/value": false, "train/Dimension lower bound/visible": true, "train/Dimension lower bound/value": 384, "train/Dimension lower bound/minimum": 64, "train/Dimension lower bound/maximum": 2048, "train/Dimension lower bound/step": 8, "train/Dimension upper bound/visible": true, "train/Dimension upper bound/value": 768, "train/Dimension upper bound/minimum": 64, "train/Dimension upper bound/maximum": 2048, "train/Dimension upper bound/step": 8, "train/Area lower bound/visible": true, "train/Area lower bound/value": 4096, "train/Area lower bound/minimum": 4096, "train/Area lower bound/maximum": 4194304, "train/Area lower bound/step": 1, "train/Area upper bound/visible": true, "train/Area upper bound/value": 409600, "train/Area upper bound/minimum": 4096, "train/Area upper bound/maximum": 4194304, "train/Area upper bound/step": 1, "train/Resizing objective/visible": true, "train/Resizing objective/value": "Maximize area", "train/Error threshold/visible": true, "train/Error threshold/value": 0.1, "train/Error threshold/minimum": 0, "train/Error threshold/maximum": 1, "train/Error threshold/step": 0.01, "train/Embedding/visible": true, "train/Embedding/value": null, "train/Hypernetwork/visible": true, "train/Hypernetwork/value": null, "train/Embedding Learning rate/visible": true, "train/Embedding Learning rate/value": "0.005", "train/Hypernetwork Learning rate/visible": true, "train/Hypernetwork Learning rate/value": "0.00001", "train/Gradient Clipping/visible": true, "train/Gradient Clipping/value": "disabled", "train/Batch size/visible": true, "train/Batch size/value": 1, "train/Gradient accumulation steps/visible": true, "train/Gradient accumulation steps/value": 1, "train/Dataset directory/visible": true, "train/Dataset directory/value": "", "train/Log directory/visible": true, "train/Log directory/value": "textual_inversion", "train/Prompt template/visible": true, "train/Prompt template/value": "style_filewords.txt", "train/Do not resize images/visible": true, "train/Do not resize images/value": false, "train/Max steps/visible": true, "train/Max steps/value": 100000, "train/Save an image to log directory every N steps, 0 to disable/visible": true, "train/Save an image to log directory every N steps, 0 to disable/value": 500, "train/Save a copy of embedding to log directory every N steps, 0 to disable/visible": true, "train/Save a copy of embedding to log directory every N steps, 0 to disable/value": 500, "train/Use PNG alpha channel as loss weight/visible": true, "train/Use PNG alpha channel as loss weight/value": false, "train/Save images with embedding in PNG chunks/visible": true, "train/Save images with embedding in PNG chunks/value": true, "train/Read parameters (prompt, etc...) from txt2img tab when making previews/visible": true, "train/Read parameters (prompt, etc...) from txt2img tab when making previews/value": false, "train/Shuffle tags by ',' when creating prompts./visible": true, "train/Shuffle tags by ',' when creating prompts./value": false, "train/Drop out tags when creating prompts./visible": true, "train/Drop out tags when creating prompts./value": 0, "train/Drop out tags when creating prompts./minimum": 0, "train/Drop out tags when creating prompts./maximum": 1, "train/Drop out tags when creating prompts./step": 0.1, "train/Choose latent sampling method/visible": true, "train/Choose latent sampling method/value": "once", "customscript/additional_networks.py/txt2img/Separate UNet/Text Encoder weights/visible": true, "customscript/additional_networks.py/txt2img/Separate UNet/Text Encoder weights/value": false, "txt2img/Weight 1/visible": true, "txt2img/Weight 1/value": 1.0, "txt2img/Weight 1/minimum": -1.0, "txt2img/Weight 1/maximum": 2.0, "txt2img/Weight 1/step": 0.05, "customscript/additional_networks.py/txt2img/UNet Weight 1/value": 1.0, "customscript/additional_networks.py/txt2img/UNet Weight 1/minimum": -1.0, "customscript/additional_networks.py/txt2img/UNet Weight 1/maximum": 2.0, "customscript/additional_networks.py/txt2img/UNet Weight 1/step": 0.05, "customscript/additional_networks.py/txt2img/TEnc Weight 1/value": 1.0, "customscript/additional_networks.py/txt2img/TEnc Weight 1/minimum": -1.0, "customscript/additional_networks.py/txt2img/TEnc Weight 1/maximum": 2.0, "customscript/additional_networks.py/txt2img/TEnc Weight 1/step": 0.05, "txt2img/Weight 2/visible": true, "txt2img/Weight 2/value": 1.0, "txt2img/Weight 2/minimum": -1.0, "txt2img/Weight 2/maximum": 2.0, "txt2img/Weight 2/step": 0.05, "customscript/additional_networks.py/txt2img/UNet Weight 2/value": 1.0, "customscript/additional_networks.py/txt2img/UNet Weight 2/minimum": -1.0, "customscript/additional_networks.py/txt2img/UNet Weight 2/maximum": 2.0, "customscript/additional_networks.py/txt2img/UNet Weight 2/step": 0.05, "customscript/additional_networks.py/txt2img/TEnc Weight 2/value": 1.0, "customscript/additional_networks.py/txt2img/TEnc Weight 2/minimum": -1.0, "customscript/additional_networks.py/txt2img/TEnc Weight 2/maximum": 2.0, "customscript/additional_networks.py/txt2img/TEnc Weight 2/step": 0.05, "txt2img/Weight 3/visible": true, "txt2img/Weight 3/value": 1.0, "txt2img/Weight 3/minimum": -1.0, "txt2img/Weight 3/maximum": 2.0, "txt2img/Weight 3/step": 0.05, "customscript/additional_networks.py/txt2img/UNet Weight 3/value": 1.0, "customscript/additional_networks.py/txt2img/UNet Weight 3/minimum": -1.0, "customscript/additional_networks.py/txt2img/UNet Weight 3/maximum": 2.0, "customscript/additional_networks.py/txt2img/UNet Weight 3/step": 0.05, "customscript/additional_networks.py/txt2img/TEnc Weight 3/value": 1.0, "customscript/additional_networks.py/txt2img/TEnc Weight 3/minimum": -1.0, "customscript/additional_networks.py/txt2img/TEnc Weight 3/maximum": 2.0, "customscript/additional_networks.py/txt2img/TEnc Weight 3/step": 0.05, "txt2img/Weight 4/visible": true, "txt2img/Weight 4/value": 1.0, "txt2img/Weight 4/minimum": -1.0, "txt2img/Weight 4/maximum": 2.0, "txt2img/Weight 4/step": 0.05, "customscript/additional_networks.py/txt2img/UNet Weight 4/value": 1.0, "customscript/additional_networks.py/txt2img/UNet Weight 4/minimum": -1.0, "customscript/additional_networks.py/txt2img/UNet Weight 4/maximum": 2.0, "customscript/additional_networks.py/txt2img/UNet Weight 4/step": 0.05, "customscript/additional_networks.py/txt2img/TEnc Weight 4/value": 1.0, "customscript/additional_networks.py/txt2img/TEnc Weight 4/minimum": -1.0, "customscript/additional_networks.py/txt2img/TEnc Weight 4/maximum": 2.0, "customscript/additional_networks.py/txt2img/TEnc Weight 4/step": 0.05, "txt2img/Weight 5/visible": true, "txt2img/Weight 5/value": 1.0, "txt2img/Weight 5/minimum": -1.0, "txt2img/Weight 5/maximum": 2.0, "txt2img/Weight 5/step": 0.05, "customscript/additional_networks.py/txt2img/UNet Weight 5/value": 1.0, "customscript/additional_networks.py/txt2img/UNet Weight 5/minimum": -1.0, "customscript/additional_networks.py/txt2img/UNet Weight 5/maximum": 2.0, "customscript/additional_networks.py/txt2img/UNet Weight 5/step": 0.05, "customscript/additional_networks.py/txt2img/TEnc Weight 5/value": 1.0, "customscript/additional_networks.py/txt2img/TEnc Weight 5/minimum": -1.0, "customscript/additional_networks.py/txt2img/TEnc Weight 5/maximum": 2.0, "customscript/additional_networks.py/txt2img/TEnc Weight 5/step": 0.05, "customscript/additional_networks.py/img2img/Separate UNet/Text Encoder weights/visible": true, "customscript/additional_networks.py/img2img/Separate UNet/Text Encoder weights/value": false, "img2img/Weight 1/visible": true, "img2img/Weight 1/value": 1.0, "img2img/Weight 1/minimum": -1.0, "img2img/Weight 1/maximum": 2.0, "img2img/Weight 1/step": 0.05, "customscript/additional_networks.py/img2img/UNet Weight 1/value": 1.0, "customscript/additional_networks.py/img2img/UNet Weight 1/minimum": -1.0, "customscript/additional_networks.py/img2img/UNet Weight 1/maximum": 2.0, "customscript/additional_networks.py/img2img/UNet Weight 1/step": 0.05, "customscript/additional_networks.py/img2img/TEnc Weight 1/value": 1.0, "customscript/additional_networks.py/img2img/TEnc Weight 1/minimum": -1.0, "customscript/additional_networks.py/img2img/TEnc Weight 1/maximum": 2.0, "customscript/additional_networks.py/img2img/TEnc Weight 1/step": 0.05, "img2img/Weight 2/visible": true, "img2img/Weight 2/value": 1.0, "img2img/Weight 2/minimum": -1.0, "img2img/Weight 2/maximum": 2.0, "img2img/Weight 2/step": 0.05, "customscript/additional_networks.py/img2img/UNet Weight 2/value": 1.0, "customscript/additional_networks.py/img2img/UNet Weight 2/minimum": -1.0, "customscript/additional_networks.py/img2img/UNet Weight 2/maximum": 2.0, "customscript/additional_networks.py/img2img/UNet Weight 2/step": 0.05, "customscript/additional_networks.py/img2img/TEnc Weight 2/value": 1.0, "customscript/additional_networks.py/img2img/TEnc Weight 2/minimum": -1.0, "customscript/additional_networks.py/img2img/TEnc Weight 2/maximum": 2.0, "customscript/additional_networks.py/img2img/TEnc Weight 2/step": 0.05, "img2img/Weight 3/visible": true, "img2img/Weight 3/value": 1.0, "img2img/Weight 3/minimum": -1.0, "img2img/Weight 3/maximum": 2.0, "img2img/Weight 3/step": 0.05, "customscript/additional_networks.py/img2img/UNet Weight 3/value": 1.0, "customscript/additional_networks.py/img2img/UNet Weight 3/minimum": -1.0, "customscript/additional_networks.py/img2img/UNet Weight 3/maximum": 2.0, "customscript/additional_networks.py/img2img/UNet Weight 3/step": 0.05, "customscript/additional_networks.py/img2img/TEnc Weight 3/value": 1.0, "customscript/additional_networks.py/img2img/TEnc Weight 3/minimum": -1.0, "customscript/additional_networks.py/img2img/TEnc Weight 3/maximum": 2.0, "customscript/additional_networks.py/img2img/TEnc Weight 3/step": 0.05, "img2img/Weight 4/visible": true, "img2img/Weight 4/value": 1.0, "img2img/Weight 4/minimum": -1.0, "img2img/Weight 4/maximum": 2.0, "img2img/Weight 4/step": 0.05, "customscript/additional_networks.py/img2img/UNet Weight 4/value": 1.0, "customscript/additional_networks.py/img2img/UNet Weight 4/minimum": -1.0, "customscript/additional_networks.py/img2img/UNet Weight 4/maximum": 2.0, "customscript/additional_networks.py/img2img/UNet Weight 4/step": 0.05, "customscript/additional_networks.py/img2img/TEnc Weight 4/value": 1.0, "customscript/additional_networks.py/img2img/TEnc Weight 4/minimum": -1.0, "customscript/additional_networks.py/img2img/TEnc Weight 4/maximum": 2.0, "customscript/additional_networks.py/img2img/TEnc Weight 4/step": 0.05, "img2img/Weight 5/visible": true, "img2img/Weight 5/value": 1.0, "img2img/Weight 5/minimum": -1.0, "img2img/Weight 5/maximum": 2.0, "img2img/Weight 5/step": 0.05, "customscript/additional_networks.py/img2img/UNet Weight 5/value": 1.0, "customscript/additional_networks.py/img2img/UNet Weight 5/minimum": -1.0, "customscript/additional_networks.py/img2img/UNet Weight 5/maximum": 2.0, "customscript/additional_networks.py/img2img/UNet Weight 5/step": 0.05, "customscript/additional_networks.py/img2img/TEnc Weight 5/value": 1.0, "customscript/additional_networks.py/img2img/TEnc Weight 5/minimum": -1.0, "customscript/additional_networks.py/img2img/TEnc Weight 5/maximum": 2.0, "customscript/additional_networks.py/img2img/TEnc Weight 5/step": 0.05, "customscript/tilediffusion.py/txt2img/Enable/visible": true, "customscript/tilediffusion.py/txt2img/Enable/value": false, "customscript/tilediffusion.py/txt2img/Overwrite image size/visible": true, "customscript/tilediffusion.py/txt2img/Overwrite image size/value": false, "customscript/tilediffusion.py/txt2img/Keep input image size/value": true, "customscript/tilediffusion.py/txt2img/Image width/visible": true, "customscript/tilediffusion.py/txt2img/Image width/value": 1024, "customscript/tilediffusion.py/txt2img/Image width/minimum": 256, "customscript/tilediffusion.py/txt2img/Image width/maximum": 16384, "customscript/tilediffusion.py/txt2img/Image width/step": 16, "customscript/tilediffusion.py/txt2img/Image height/visible": true, "customscript/tilediffusion.py/txt2img/Image height/value": 1024, "customscript/tilediffusion.py/txt2img/Image height/minimum": 256, "customscript/tilediffusion.py/txt2img/Image height/maximum": 16384, "customscript/tilediffusion.py/txt2img/Image height/step": 16, "customscript/tilediffusion.py/txt2img/Method/visible": true, "customscript/tilediffusion.py/txt2img/Method/value": "MultiDiffusion", "customscript/tilediffusion.py/txt2img/Move ControlNet images to CPU (if applicable)/visible": true, "customscript/tilediffusion.py/txt2img/Move ControlNet images to CPU (if applicable)/value": false, "customscript/tilediffusion.py/txt2img/Latent tile width/visible": true, "customscript/tilediffusion.py/txt2img/Latent tile width/value": 96, "customscript/tilediffusion.py/txt2img/Latent tile width/minimum": 16, "customscript/tilediffusion.py/txt2img/Latent tile width/maximum": 256, "customscript/tilediffusion.py/txt2img/Latent tile width/step": 16, "customscript/tilediffusion.py/txt2img/Latent tile height/visible": true, "customscript/tilediffusion.py/txt2img/Latent tile height/value": 96, "customscript/tilediffusion.py/txt2img/Latent tile height/minimum": 16, "customscript/tilediffusion.py/txt2img/Latent tile height/maximum": 256, "customscript/tilediffusion.py/txt2img/Latent tile height/step": 16, "customscript/tilediffusion.py/txt2img/Latent tile overlap/visible": true, "customscript/tilediffusion.py/txt2img/Latent tile overlap/value": 48, "customscript/tilediffusion.py/txt2img/Latent tile overlap/minimum": 0, "customscript/tilediffusion.py/txt2img/Latent tile overlap/maximum": 256, "customscript/tilediffusion.py/txt2img/Latent tile overlap/step": 4, "customscript/tilediffusion.py/txt2img/Latent tile batch size/visible": true, "customscript/tilediffusion.py/txt2img/Latent tile batch size/value": 1, "customscript/tilediffusion.py/txt2img/Latent tile batch size/minimum": 1, "customscript/tilediffusion.py/txt2img/Latent tile batch size/maximum": 8, "customscript/tilediffusion.py/txt2img/Latent tile batch size/step": 1, "customscript/tilediffusion.py/txt2img/Upscaler/visible": true, "customscript/tilediffusion.py/txt2img/Upscaler/value": "None", "customscript/tilediffusion.py/txt2img/Scale Factor/visible": true, "customscript/tilediffusion.py/txt2img/Scale Factor/value": 2.0, "customscript/tilediffusion.py/txt2img/Scale Factor/minimum": 1.0, "customscript/tilediffusion.py/txt2img/Scale Factor/maximum": 8.0, "customscript/tilediffusion.py/txt2img/Scale Factor/step": 0.05, "customscript/tilediffusion.py/txt2img/Enable Noise Inversion/visible": true, "customscript/tilediffusion.py/txt2img/Enable Noise Inversion/value": false, "customscript/tilediffusion.py/txt2img/Inversion steps/visible": true, "customscript/tilediffusion.py/txt2img/Inversion steps/value": 10, "customscript/tilediffusion.py/txt2img/Inversion steps/minimum": 1, "customscript/tilediffusion.py/txt2img/Inversion steps/maximum": 100, "customscript/tilediffusion.py/txt2img/Inversion steps/step": 1, "customscript/tilediffusion.py/txt2img/Retouch/visible": true, "customscript/tilediffusion.py/txt2img/Retouch/value": 1, "customscript/tilediffusion.py/txt2img/Retouch/minimum": 1, "customscript/tilediffusion.py/txt2img/Retouch/maximum": 100, "customscript/tilediffusion.py/txt2img/Retouch/step": 0.1, "customscript/tilediffusion.py/txt2img/Renoise strength/visible": true, "customscript/tilediffusion.py/txt2img/Renoise strength/value": 1, "customscript/tilediffusion.py/txt2img/Renoise strength/minimum": 0, "customscript/tilediffusion.py/txt2img/Renoise strength/maximum": 2, "customscript/tilediffusion.py/txt2img/Renoise strength/step": 0.01, "customscript/tilediffusion.py/txt2img/Renoise kernel size/visible": true, "customscript/tilediffusion.py/txt2img/Renoise kernel size/value": 64, "customscript/tilediffusion.py/txt2img/Renoise kernel size/minimum": 2, "customscript/tilediffusion.py/txt2img/Renoise kernel size/maximum": 512, "customscript/tilediffusion.py/txt2img/Renoise kernel size/step": 1, "customscript/tilediffusion.py/txt2img/Enable Control/visible": true, "customscript/tilediffusion.py/txt2img/Enable Control/value": false, "customscript/tilediffusion.py/txt2img/Draw full canvas background/visible": true, "customscript/tilediffusion.py/txt2img/Draw full canvas background/value": false, "customscript/tilediffusion.py/txt2img/Causalize layers/value": false, "txt2img/Custom Config File/visible": true, "txt2img/Custom Config File/value": "config.json", "customscript/tilediffusion.py/txt2img/Enable Region 1/visible": true, "customscript/tilediffusion.py/txt2img/Enable Region 1/value": false, "customscript/tilediffusion.py/txt2img/Type/visible": true, "customscript/tilediffusion.py/txt2img/Type/value": "Background", "customscript/tilediffusion.py/txt2img/Feather/value": 0.2, "customscript/tilediffusion.py/txt2img/Feather/minimum": 0, "customscript/tilediffusion.py/txt2img/Feather/maximum": 1, "customscript/tilediffusion.py/txt2img/Feather/step": 0.05, "customscript/tilediffusion.py/txt2img/x/visible": true, "customscript/tilediffusion.py/txt2img/x/value": 0.4, "customscript/tilediffusion.py/txt2img/x/minimum": 0.0, "customscript/tilediffusion.py/txt2img/x/maximum": 1.0, "customscript/tilediffusion.py/txt2img/x/step": 0.01, "customscript/tilediffusion.py/txt2img/y/visible": true, "customscript/tilediffusion.py/txt2img/y/value": 0.4, "customscript/tilediffusion.py/txt2img/y/minimum": 0.0, "customscript/tilediffusion.py/txt2img/y/maximum": 1.0, "customscript/tilediffusion.py/txt2img/y/step": 0.01, "customscript/tilediffusion.py/txt2img/w/visible": true, "customscript/tilediffusion.py/txt2img/w/value": 0.2, "customscript/tilediffusion.py/txt2img/w/minimum": 0.0, "customscript/tilediffusion.py/txt2img/w/maximum": 1.0, "customscript/tilediffusion.py/txt2img/w/step": 0.01, "customscript/tilediffusion.py/txt2img/h/visible": true, "customscript/tilediffusion.py/txt2img/h/value": 0.2, "customscript/tilediffusion.py/txt2img/h/minimum": 0.0, "customscript/tilediffusion.py/txt2img/h/maximum": 1.0, "customscript/tilediffusion.py/txt2img/h/step": 0.01, "customscript/tilediffusion.py/txt2img/Seed/visible": true, "customscript/tilediffusion.py/txt2img/Seed/value": -1.0, "customscript/tilediffusion.py/txt2img/Enable Region 2/visible": true, "customscript/tilediffusion.py/txt2img/Enable Region 2/value": false, "customscript/tilediffusion.py/txt2img/Enable Region 3/visible": true, "customscript/tilediffusion.py/txt2img/Enable Region 3/value": false, "customscript/tilediffusion.py/txt2img/Enable Region 4/visible": true, "customscript/tilediffusion.py/txt2img/Enable Region 4/value": false, "customscript/tilediffusion.py/txt2img/Enable Region 5/visible": true, "customscript/tilediffusion.py/txt2img/Enable Region 5/value": false, "customscript/tilediffusion.py/txt2img/Enable Region 6/visible": true, "customscript/tilediffusion.py/txt2img/Enable Region 6/value": false, "customscript/tilediffusion.py/txt2img/Enable Region 7/visible": true, "customscript/tilediffusion.py/txt2img/Enable Region 7/value": false, "customscript/tilediffusion.py/txt2img/Enable Region 8/visible": true, "customscript/tilediffusion.py/txt2img/Enable Region 8/value": false, "customscript/vae_optimize.py/txt2img/Enable/visible": true, "customscript/vae_optimize.py/txt2img/Enable/value": false, "customscript/vae_optimize.py/txt2img/Move VAE to GPU/visible": true, "customscript/vae_optimize.py/txt2img/Move VAE to GPU/value": false, "customscript/vae_optimize.py/txt2img/Encoder Tile Size/visible": true, "customscript/vae_optimize.py/txt2img/Encoder Tile Size/value": 1536, "customscript/vae_optimize.py/txt2img/Encoder Tile Size/minimum": 256, "customscript/vae_optimize.py/txt2img/Encoder Tile Size/maximum": 4096, "customscript/vae_optimize.py/txt2img/Encoder Tile Size/step": 16, "customscript/vae_optimize.py/txt2img/Decoder Tile Size/visible": true, "customscript/vae_optimize.py/txt2img/Decoder Tile Size/value": 96, "customscript/vae_optimize.py/txt2img/Decoder Tile Size/minimum": 48, "customscript/vae_optimize.py/txt2img/Decoder Tile Size/maximum": 512, "customscript/vae_optimize.py/txt2img/Decoder Tile Size/step": 16, "customscript/vae_optimize.py/txt2img/Fast Encoder/visible": true, "customscript/vae_optimize.py/txt2img/Fast Encoder/value": true, "customscript/vae_optimize.py/txt2img/Fast Decoder/visible": true, "customscript/vae_optimize.py/txt2img/Fast Decoder/value": true, "customscript/vae_optimize.py/txt2img/Encoder Color Fix/visible": true, "customscript/vae_optimize.py/txt2img/Encoder Color Fix/value": false, "txt2img/Enable/visible": true, "txt2img/Enable/value": false, "txt2img/Invert Input Color/visible": true, "txt2img/Invert Input Color/value": false, "txt2img/RGB to BGR/visible": true, "txt2img/RGB to BGR/value": false, "txt2img/Low VRAM/visible": true, "txt2img/Low VRAM/value": false, "txt2img/Guess Mode/visible": true, "txt2img/Guess Mode/value": false, "txt2img/Preprocessor/visible": true, "txt2img/Preprocessor/value": "none", "txt2img/Model/visible": true, "txt2img/Model/value": "None", "txt2img/Weight/visible": true, "txt2img/Weight/value": 1.0, "txt2img/Weight/minimum": 0.0, "txt2img/Weight/maximum": 2.0, "txt2img/Weight/step": 0.05, "txt2img/Guidance Start (T)/visible": true, "txt2img/Guidance Start (T)/value": 0.0, "txt2img/Guidance Start (T)/minimum": 0.0, "txt2img/Guidance Start (T)/maximum": 1.0, "txt2img/Guidance Start (T)/step": 0.01, "txt2img/Guidance End (T)/visible": true, "txt2img/Guidance End (T)/value": 1.0, "txt2img/Guidance End (T)/minimum": 0.0, "txt2img/Guidance End (T)/maximum": 1.0, "txt2img/Guidance End (T)/step": 0.01, "txt2img/Annotator resolution/visible": true, "txt2img/Annotator resolution/value": 64, "txt2img/Annotator resolution/minimum": 64, "txt2img/Annotator resolution/maximum": 2048, "txt2img/Annotator resolution/step": 10, "txt2img/Threshold A/visible": true, "txt2img/Threshold A/value": 64, "txt2img/Threshold A/minimum": 64, "txt2img/Threshold A/maximum": 1024, "txt2img/Threshold A/step": 1, "txt2img/Threshold B/visible": true, "txt2img/Threshold B/value": 64, "txt2img/Threshold B/minimum": 64, "txt2img/Threshold B/maximum": 1024, "txt2img/Threshold B/step": 1, "txt2img/Resize Mode/visible": true, "txt2img/Resize Mode/value": "Scale to Fit (Inner Fit)", "txt2img/Canvas Width/visible": true, "txt2img/Canvas Width/value": 512, "txt2img/Canvas Width/minimum": 256, "txt2img/Canvas Width/maximum": 1024, "txt2img/Canvas Width/step": 64, "txt2img/Canvas Height/visible": true, "txt2img/Canvas Height/value": 512, "txt2img/Canvas Height/minimum": 256, "txt2img/Canvas Height/maximum": 1024, "txt2img/Canvas Height/step": 64, "customscript/movie2movie.py/txt2img/Save preprocessed/visible": true, "customscript/movie2movie.py/txt2img/Save preprocessed/value": false, "customscript/movie2movie.py/txt2img/Duration/visible": true, "customscript/movie2movie.py/txt2img/Duration/value": 50.0, "customscript/movie2movie.py/txt2img/Duration/minimum": 10.0, "customscript/movie2movie.py/txt2img/Duration/maximum": 200.0, "customscript/movie2movie.py/txt2img/Duration/step": 10, "customscript/tilediffusion.py/img2img/Enable/visible": true, "customscript/tilediffusion.py/img2img/Enable/value": false, "customscript/tilediffusion.py/img2img/Overwrite image size/value": false, "customscript/tilediffusion.py/img2img/Keep input image size/visible": true, "customscript/tilediffusion.py/img2img/Keep input image size/value": true, "customscript/tilediffusion.py/img2img/Image width/visible": true, "customscript/tilediffusion.py/img2img/Image width/value": 1024, "customscript/tilediffusion.py/img2img/Image width/minimum": 256, "customscript/tilediffusion.py/img2img/Image width/maximum": 16384, "customscript/tilediffusion.py/img2img/Image width/step": 16, "customscript/tilediffusion.py/img2img/Image height/visible": true, "customscript/tilediffusion.py/img2img/Image height/value": 1024, "customscript/tilediffusion.py/img2img/Image height/minimum": 256, "customscript/tilediffusion.py/img2img/Image height/maximum": 16384, "customscript/tilediffusion.py/img2img/Image height/step": 16, "customscript/tilediffusion.py/img2img/Method/visible": true, "customscript/tilediffusion.py/img2img/Method/value": "MultiDiffusion", "customscript/tilediffusion.py/img2img/Move ControlNet images to CPU (if applicable)/visible": true, "customscript/tilediffusion.py/img2img/Move ControlNet images to CPU (if applicable)/value": false, "customscript/tilediffusion.py/img2img/Latent tile width/visible": true, "customscript/tilediffusion.py/img2img/Latent tile width/value": 96, "customscript/tilediffusion.py/img2img/Latent tile width/minimum": 16, "customscript/tilediffusion.py/img2img/Latent tile width/maximum": 256, "customscript/tilediffusion.py/img2img/Latent tile width/step": 16, "customscript/tilediffusion.py/img2img/Latent tile height/visible": true, "customscript/tilediffusion.py/img2img/Latent tile height/value": 96, "customscript/tilediffusion.py/img2img/Latent tile height/minimum": 16, "customscript/tilediffusion.py/img2img/Latent tile height/maximum": 256, "customscript/tilediffusion.py/img2img/Latent tile height/step": 16, "customscript/tilediffusion.py/img2img/Latent tile overlap/visible": true, "customscript/tilediffusion.py/img2img/Latent tile overlap/value": 48, "customscript/tilediffusion.py/img2img/Latent tile overlap/minimum": 0, "customscript/tilediffusion.py/img2img/Latent tile overlap/maximum": 256, "customscript/tilediffusion.py/img2img/Latent tile overlap/step": 4, "customscript/tilediffusion.py/img2img/Latent tile batch size/visible": true, "customscript/tilediffusion.py/img2img/Latent tile batch size/value": 1, "customscript/tilediffusion.py/img2img/Latent tile batch size/minimum": 1, "customscript/tilediffusion.py/img2img/Latent tile batch size/maximum": 8, "customscript/tilediffusion.py/img2img/Latent tile batch size/step": 1, "customscript/tilediffusion.py/img2img/Upscaler/visible": true, "customscript/tilediffusion.py/img2img/Upscaler/value": "None", "customscript/tilediffusion.py/img2img/Scale Factor/visible": true, "customscript/tilediffusion.py/img2img/Scale Factor/value": 2.0, "customscript/tilediffusion.py/img2img/Scale Factor/minimum": 1.0, "customscript/tilediffusion.py/img2img/Scale Factor/maximum": 8.0, "customscript/tilediffusion.py/img2img/Scale Factor/step": 0.05, "customscript/tilediffusion.py/img2img/Enable Noise Inversion/visible": true, "customscript/tilediffusion.py/img2img/Enable Noise Inversion/value": false, "customscript/tilediffusion.py/img2img/Inversion steps/visible": true, "customscript/tilediffusion.py/img2img/Inversion steps/value": 10, "customscript/tilediffusion.py/img2img/Inversion steps/minimum": 1, "customscript/tilediffusion.py/img2img/Inversion steps/maximum": 100, "customscript/tilediffusion.py/img2img/Inversion steps/step": 1, "customscript/tilediffusion.py/img2img/Retouch/visible": true, "customscript/tilediffusion.py/img2img/Retouch/value": 1, "customscript/tilediffusion.py/img2img/Retouch/minimum": 1, "customscript/tilediffusion.py/img2img/Retouch/maximum": 100, "customscript/tilediffusion.py/img2img/Retouch/step": 0.1, "customscript/tilediffusion.py/img2img/Renoise strength/visible": true, "customscript/tilediffusion.py/img2img/Renoise strength/value": 1, "customscript/tilediffusion.py/img2img/Renoise strength/minimum": 0, "customscript/tilediffusion.py/img2img/Renoise strength/maximum": 2, "customscript/tilediffusion.py/img2img/Renoise strength/step": 0.01, "customscript/tilediffusion.py/img2img/Renoise kernel size/visible": true, "customscript/tilediffusion.py/img2img/Renoise kernel size/value": 64, "customscript/tilediffusion.py/img2img/Renoise kernel size/minimum": 2, "customscript/tilediffusion.py/img2img/Renoise kernel size/maximum": 512, "customscript/tilediffusion.py/img2img/Renoise kernel size/step": 1, "customscript/tilediffusion.py/img2img/Enable Control/visible": true, "customscript/tilediffusion.py/img2img/Enable Control/value": false, "customscript/tilediffusion.py/img2img/Draw full canvas background/visible": true, "customscript/tilediffusion.py/img2img/Draw full canvas background/value": false, "customscript/tilediffusion.py/img2img/Causalize layers/value": false, "img2img/Custom Config File/visible": true, "img2img/Custom Config File/value": "config.json", "customscript/tilediffusion.py/img2img/Enable Region 1/visible": true, "customscript/tilediffusion.py/img2img/Enable Region 1/value": false, "customscript/tilediffusion.py/img2img/Type/visible": true, "customscript/tilediffusion.py/img2img/Type/value": "Background", "customscript/tilediffusion.py/img2img/Feather/value": 0.2, "customscript/tilediffusion.py/img2img/Feather/minimum": 0, "customscript/tilediffusion.py/img2img/Feather/maximum": 1, "customscript/tilediffusion.py/img2img/Feather/step": 0.05, "customscript/tilediffusion.py/img2img/x/visible": true, "customscript/tilediffusion.py/img2img/x/value": 0.4, "customscript/tilediffusion.py/img2img/x/minimum": 0.0, "customscript/tilediffusion.py/img2img/x/maximum": 1.0, "customscript/tilediffusion.py/img2img/x/step": 0.01, "customscript/tilediffusion.py/img2img/y/visible": true, "customscript/tilediffusion.py/img2img/y/value": 0.4, "customscript/tilediffusion.py/img2img/y/minimum": 0.0, "customscript/tilediffusion.py/img2img/y/maximum": 1.0, "customscript/tilediffusion.py/img2img/y/step": 0.01, "customscript/tilediffusion.py/img2img/w/visible": true, "customscript/tilediffusion.py/img2img/w/value": 0.2, "customscript/tilediffusion.py/img2img/w/minimum": 0.0, "customscript/tilediffusion.py/img2img/w/maximum": 1.0, "customscript/tilediffusion.py/img2img/w/step": 0.01, "customscript/tilediffusion.py/img2img/h/visible": true, "customscript/tilediffusion.py/img2img/h/value": 0.2, "customscript/tilediffusion.py/img2img/h/minimum": 0.0, "customscript/tilediffusion.py/img2img/h/maximum": 1.0, "customscript/tilediffusion.py/img2img/h/step": 0.01, "customscript/tilediffusion.py/img2img/Seed/visible": true, "customscript/tilediffusion.py/img2img/Seed/value": -1.0, "customscript/tilediffusion.py/img2img/Enable Region 2/visible": true, "customscript/tilediffusion.py/img2img/Enable Region 2/value": false, "customscript/tilediffusion.py/img2img/Enable Region 3/visible": true, "customscript/tilediffusion.py/img2img/Enable Region 3/value": false, "customscript/tilediffusion.py/img2img/Enable Region 4/visible": true, "customscript/tilediffusion.py/img2img/Enable Region 4/value": false, "customscript/tilediffusion.py/img2img/Enable Region 5/visible": true, "customscript/tilediffusion.py/img2img/Enable Region 5/value": false, "customscript/tilediffusion.py/img2img/Enable Region 6/visible": true, "customscript/tilediffusion.py/img2img/Enable Region 6/value": false, "customscript/tilediffusion.py/img2img/Enable Region 7/visible": true, "customscript/tilediffusion.py/img2img/Enable Region 7/value": false, "customscript/tilediffusion.py/img2img/Enable Region 8/visible": true, "customscript/tilediffusion.py/img2img/Enable Region 8/value": false, "customscript/vae_optimize.py/img2img/Enable/visible": true, "customscript/vae_optimize.py/img2img/Enable/value": false, "customscript/vae_optimize.py/img2img/Move VAE to GPU/visible": true, "customscript/vae_optimize.py/img2img/Move VAE to GPU/value": false, "customscript/vae_optimize.py/img2img/Encoder Tile Size/visible": true, "customscript/vae_optimize.py/img2img/Encoder Tile Size/value": 1536, "customscript/vae_optimize.py/img2img/Encoder Tile Size/minimum": 256, "customscript/vae_optimize.py/img2img/Encoder Tile Size/maximum": 4096, "customscript/vae_optimize.py/img2img/Encoder Tile Size/step": 16, "customscript/vae_optimize.py/img2img/Decoder Tile Size/visible": true, "customscript/vae_optimize.py/img2img/Decoder Tile Size/value": 96, "customscript/vae_optimize.py/img2img/Decoder Tile Size/minimum": 48, "customscript/vae_optimize.py/img2img/Decoder Tile Size/maximum": 512, "customscript/vae_optimize.py/img2img/Decoder Tile Size/step": 16, "customscript/vae_optimize.py/img2img/Fast Encoder/visible": true, "customscript/vae_optimize.py/img2img/Fast Encoder/value": true, "customscript/vae_optimize.py/img2img/Fast Decoder/visible": true, "customscript/vae_optimize.py/img2img/Fast Decoder/value": true, "customscript/vae_optimize.py/img2img/Encoder Color Fix/visible": true, "customscript/vae_optimize.py/img2img/Encoder Color Fix/value": false, "img2img/Enable/visible": true, "img2img/Enable/value": false, "img2img/Invert Input Color/visible": true, "img2img/Invert Input Color/value": false, "img2img/RGB to BGR/visible": true, "img2img/RGB to BGR/value": false, "img2img/Low VRAM/visible": true, "img2img/Low VRAM/value": false, "img2img/Guess Mode/visible": true, "img2img/Guess Mode/value": false, "img2img/Preprocessor/visible": true, "img2img/Preprocessor/value": "none", "img2img/Model/visible": true, "img2img/Model/value": "None", "img2img/Weight/visible": true, "img2img/Weight/value": 1.0, "img2img/Weight/minimum": 0.0, "img2img/Weight/maximum": 2.0, "img2img/Weight/step": 0.05, "img2img/Guidance Start (T)/visible": true, "img2img/Guidance Start (T)/value": 0.0, "img2img/Guidance Start (T)/minimum": 0.0, "img2img/Guidance Start (T)/maximum": 1.0, "img2img/Guidance Start (T)/step": 0.01, "img2img/Guidance End (T)/visible": true, "img2img/Guidance End (T)/value": 1.0, "img2img/Guidance End (T)/minimum": 0.0, "img2img/Guidance End (T)/maximum": 1.0, "img2img/Guidance End (T)/step": 0.01, "img2img/Annotator resolution/visible": true, "img2img/Annotator resolution/value": 64, "img2img/Annotator resolution/minimum": 64, "img2img/Annotator resolution/maximum": 2048, "img2img/Annotator resolution/step": 10, "img2img/Threshold A/visible": true, "img2img/Threshold A/value": 64, "img2img/Threshold A/minimum": 64, "img2img/Threshold A/maximum": 1024, "img2img/Threshold A/step": 1, "img2img/Threshold B/visible": true, "img2img/Threshold B/value": 64, "img2img/Threshold B/minimum": 64, "img2img/Threshold B/maximum": 1024, "img2img/Threshold B/step": 1, "img2img/Resize Mode/visible": true, "img2img/Resize Mode/value": "Scale to Fit (Inner Fit)", "img2img/Canvas Width/visible": true, "img2img/Canvas Width/value": 512, "img2img/Canvas Width/minimum": 256, "img2img/Canvas Width/maximum": 1024, "img2img/Canvas Width/step": 64, "img2img/Canvas Height/visible": true, "img2img/Canvas Height/value": 512, "img2img/Canvas Height/minimum": 256, "img2img/Canvas Height/maximum": 1024, "img2img/Canvas Height/step": 64, "customscript/movie2movie.py/img2img/Save preprocessed/visible": true, "customscript/movie2movie.py/img2img/Save preprocessed/value": false, "customscript/movie2movie.py/img2img/Duration/visible": true, "customscript/movie2movie.py/img2img/Duration/value": 50.0, "customscript/movie2movie.py/img2img/Duration/minimum": 10.0, "customscript/movie2movie.py/img2img/Duration/maximum": 200.0, "customscript/movie2movie.py/img2img/Duration/step": 10, "customscript/loopback.py/img2img/Final denoising strength/visible": true, "customscript/loopback.py/img2img/Final denoising strength/value": 0.5, "customscript/loopback.py/img2img/Final denoising strength/minimum": 0, "customscript/loopback.py/img2img/Final denoising strength/maximum": 1, "customscript/loopback.py/img2img/Final denoising strength/step": 0.01, "customscript/loopback.py/img2img/Denoising strength curve/visible": true, "customscript/loopback.py/img2img/Denoising strength curve/value": "Linear", "customscript/posex.py/txt2img/Send this image to ControlNet./visible": true, "customscript/posex.py/txt2img/Send this image to ControlNet./value": false, "customscript/posex.py/txt2img/Target ControlNet number/visible": true, "customscript/posex.py/txt2img/Target ControlNet number/value": 0, "customscript/posex.py/img2img/Send this image to ControlNet./visible": true, "customscript/posex.py/img2img/Send this image to ControlNet./value": false, "customscript/posex.py/img2img/Target ControlNet number/visible": true, "customscript/posex.py/img2img/Target ControlNet number/value": 0, "txt2img/Pixel Perfect/visible": true, "txt2img/Pixel Perfect/value": false, "txt2img/Allow Preview/visible": true, "txt2img/Allow Preview/value": false, "txt2img/Control Weight/visible": true, "txt2img/Control Weight/value": 1.0, "txt2img/Control Weight/minimum": 0.0, "txt2img/Control Weight/maximum": 2.0, "txt2img/Control Weight/step": 0.05, "txt2img/Starting Control Step/visible": true, "txt2img/Starting Control Step/value": 0.0, "txt2img/Starting Control Step/minimum": 0.0, "txt2img/Starting Control Step/maximum": 1.0, "txt2img/Starting Control Step/step": 0.01, "txt2img/Ending Control Step/visible": true, "txt2img/Ending Control Step/value": 1.0, "txt2img/Ending Control Step/minimum": 0.0, "txt2img/Ending Control Step/maximum": 1.0, "txt2img/Ending Control Step/step": 0.01, "txt2img/Preprocessor resolution/value": 64, "txt2img/Preprocessor resolution/minimum": 64, "txt2img/Preprocessor resolution/maximum": 2048, "txt2img/Preprocessor resolution/step": 10, "txt2img/New Scribble Drawing Width/visible": true, "txt2img/New Scribble Drawing Width/value": 512, "txt2img/New Scribble Drawing Width/minimum": 256, "txt2img/New Scribble Drawing Width/maximum": 1024, "txt2img/New Scribble Drawing Width/step": 64, "txt2img/New Scribble Drawing Height/visible": true, "txt2img/New Scribble Drawing Height/value": 512, "txt2img/New Scribble Drawing Height/minimum": 256, "txt2img/New Scribble Drawing Height/maximum": 1024, "txt2img/New Scribble Drawing Height/step": 64, "customscript/face_editor.py/txt2img/Maximum number of faces to detect/visible": true, "customscript/face_editor.py/txt2img/Maximum number of faces to detect/value": 20, "customscript/face_editor.py/txt2img/Maximum number of faces to detect/minimum": 1, "customscript/face_editor.py/txt2img/Maximum number of faces to detect/maximum": 20, "customscript/face_editor.py/txt2img/Maximum number of faces to detect/step": 1, "customscript/face_editor.py/txt2img/Face detection confidence/visible": true, "customscript/face_editor.py/txt2img/Face detection confidence/value": 0.97, "customscript/face_editor.py/txt2img/Face detection confidence/minimum": 0.7, "customscript/face_editor.py/txt2img/Face detection confidence/maximum": 1.0, "customscript/face_editor.py/txt2img/Face detection confidence/step": 0.01, "customscript/face_editor.py/txt2img/Face margin/visible": true, "customscript/face_editor.py/txt2img/Face margin/value": 1.6, "customscript/face_editor.py/txt2img/Face margin/minimum": 1.0, "customscript/face_editor.py/txt2img/Face margin/maximum": 2.0, "customscript/face_editor.py/txt2img/Face margin/step": 0.1, "customscript/face_editor.py/txt2img/Prompt for face/visible": true, "customscript/face_editor.py/txt2img/Prompt for face/value": "", "customscript/face_editor.py/txt2img/Denoising strength for face images/visible": true, "customscript/face_editor.py/txt2img/Denoising strength for face images/value": 0.4, "customscript/face_editor.py/txt2img/Denoising strength for face images/minimum": 0.1, "customscript/face_editor.py/txt2img/Denoising strength for face images/maximum": 0.8, "customscript/face_editor.py/txt2img/Denoising strength for face images/step": 0.05, "customscript/face_editor.py/txt2img/Mask size/visible": true, "customscript/face_editor.py/txt2img/Mask size/value": 0, "customscript/face_editor.py/txt2img/Mask size/minimum": 0, "customscript/face_editor.py/txt2img/Mask size/maximum": 64, "customscript/face_editor.py/txt2img/Mask size/step": 1, "customscript/face_editor.py/txt2img/Mask blur/visible": true, "customscript/face_editor.py/txt2img/Mask blur/value": 0, "customscript/face_editor.py/txt2img/Mask blur/minimum": 0, "customscript/face_editor.py/txt2img/Mask blur/maximum": 64, "customscript/face_editor.py/txt2img/Mask blur/step": 1, "customscript/face_editor.py/txt2img/Denoising strength for the entire image/visible": true, "customscript/face_editor.py/txt2img/Denoising strength for the entire image/value": 0.15, "customscript/face_editor.py/txt2img/Denoising strength for the entire image/minimum": 0.0, "customscript/face_editor.py/txt2img/Denoising strength for the entire image/maximum": 1.0, "customscript/face_editor.py/txt2img/Denoising strength for the entire image/step": 0.05, "customscript/face_editor.py/txt2img/Save original image/visible": true, "customscript/face_editor.py/txt2img/Save original image/value": false, "customscript/face_editor.py/txt2img/Show intermediate steps/value": false, "img2img/Pixel Perfect/visible": true, "img2img/Pixel Perfect/value": false, "img2img/Allow Preview/visible": true, "img2img/Allow Preview/value": false, "img2img/Control Weight/visible": true, "img2img/Control Weight/value": 1.0, "img2img/Control Weight/minimum": 0.0, "img2img/Control Weight/maximum": 2.0, "img2img/Control Weight/step": 0.05, "img2img/Starting Control Step/visible": true, "img2img/Starting Control Step/value": 0.0, "img2img/Starting Control Step/minimum": 0.0, "img2img/Starting Control Step/maximum": 1.0, "img2img/Starting Control Step/step": 0.01, "img2img/Ending Control Step/visible": true, "img2img/Ending Control Step/value": 1.0, "img2img/Ending Control Step/minimum": 0.0, "img2img/Ending Control Step/maximum": 1.0, "img2img/Ending Control Step/step": 0.01, "img2img/Preprocessor resolution/value": 64, "img2img/Preprocessor resolution/minimum": 64, "img2img/Preprocessor resolution/maximum": 2048, "img2img/Preprocessor resolution/step": 10, "img2img/New Scribble Drawing Width/visible": true, "img2img/New Scribble Drawing Width/value": 512, "img2img/New Scribble Drawing Width/minimum": 256, "img2img/New Scribble Drawing Width/maximum": 1024, "img2img/New Scribble Drawing Width/step": 64, "img2img/New Scribble Drawing Height/visible": true, "img2img/New Scribble Drawing Height/value": 512, "img2img/New Scribble Drawing Height/minimum": 256, "img2img/New Scribble Drawing Height/maximum": 1024, "img2img/New Scribble Drawing Height/step": 64, "customscript/face_editor.py/img2img/Maximum number of faces to detect/visible": true, "customscript/face_editor.py/img2img/Maximum number of faces to detect/value": 20, "customscript/face_editor.py/img2img/Maximum number of faces to detect/minimum": 1, "customscript/face_editor.py/img2img/Maximum number of faces to detect/maximum": 20, "customscript/face_editor.py/img2img/Maximum number of faces to detect/step": 1, "customscript/face_editor.py/img2img/Face detection confidence/visible": true, "customscript/face_editor.py/img2img/Face detection confidence/value": 0.97, "customscript/face_editor.py/img2img/Face detection confidence/minimum": 0.7, "customscript/face_editor.py/img2img/Face detection confidence/maximum": 1.0, "customscript/face_editor.py/img2img/Face detection confidence/step": 0.01, "customscript/face_editor.py/img2img/Face margin/visible": true, "customscript/face_editor.py/img2img/Face margin/value": 1.6, "customscript/face_editor.py/img2img/Face margin/minimum": 1.0, "customscript/face_editor.py/img2img/Face margin/maximum": 2.0, "customscript/face_editor.py/img2img/Face margin/step": 0.1, "customscript/face_editor.py/img2img/Prompt for face/visible": true, "customscript/face_editor.py/img2img/Prompt for face/value": "", "customscript/face_editor.py/img2img/Denoising strength for face images/visible": true, "customscript/face_editor.py/img2img/Denoising strength for face images/value": 0.4, "customscript/face_editor.py/img2img/Denoising strength for face images/minimum": 0.1, "customscript/face_editor.py/img2img/Denoising strength for face images/maximum": 0.8, "customscript/face_editor.py/img2img/Denoising strength for face images/step": 0.05, "customscript/face_editor.py/img2img/Mask size/visible": true, "customscript/face_editor.py/img2img/Mask size/value": 0, "customscript/face_editor.py/img2img/Mask size/minimum": 0, "customscript/face_editor.py/img2img/Mask size/maximum": 64, "customscript/face_editor.py/img2img/Mask size/step": 1, "customscript/face_editor.py/img2img/Mask blur/visible": true, "customscript/face_editor.py/img2img/Mask blur/value": 0, "customscript/face_editor.py/img2img/Mask blur/minimum": 0, "customscript/face_editor.py/img2img/Mask blur/maximum": 64, "customscript/face_editor.py/img2img/Mask blur/step": 1, "customscript/face_editor.py/img2img/Denoising strength for the entire image/visible": true, "customscript/face_editor.py/img2img/Denoising strength for the entire image/value": 0.15, "customscript/face_editor.py/img2img/Denoising strength for the entire image/minimum": 0.0, "customscript/face_editor.py/img2img/Denoising strength for the entire image/maximum": 1.0, "customscript/face_editor.py/img2img/Denoising strength for the entire image/step": 0.05, "customscript/face_editor.py/img2img/Save original image/value": false, "customscript/face_editor.py/img2img/Show intermediate steps/visible": true, "customscript/face_editor.py/img2img/Show intermediate steps/value": false, "customscript/ultimate-upscale.py/img2img/Target size type/visible": true, "customscript/ultimate-upscale.py/img2img/Target size type/value": "From img2img2 settings", "customscript/ultimate-upscale.py/img2img/Custom width/value": 2048, "customscript/ultimate-upscale.py/img2img/Custom width/minimum": 64, "customscript/ultimate-upscale.py/img2img/Custom width/maximum": 8192, "customscript/ultimate-upscale.py/img2img/Custom width/step": 64, "customscript/ultimate-upscale.py/img2img/Custom height/value": 2048, "customscript/ultimate-upscale.py/img2img/Custom height/minimum": 64, "customscript/ultimate-upscale.py/img2img/Custom height/maximum": 8192, "customscript/ultimate-upscale.py/img2img/Custom height/step": 64, "customscript/ultimate-upscale.py/img2img/Scale/value": 2, "customscript/ultimate-upscale.py/img2img/Scale/minimum": 1, "customscript/ultimate-upscale.py/img2img/Scale/maximum": 16, "customscript/ultimate-upscale.py/img2img/Scale/step": 0.01, "customscript/ultimate-upscale.py/img2img/Upscaler/visible": true, "customscript/ultimate-upscale.py/img2img/Upscaler/value": "None", "customscript/ultimate-upscale.py/img2img/Type/visible": true, "customscript/ultimate-upscale.py/img2img/Type/value": "Linear", "customscript/ultimate-upscale.py/img2img/Tile width/visible": true, "customscript/ultimate-upscale.py/img2img/Tile width/value": 512, "customscript/ultimate-upscale.py/img2img/Tile width/minimum": 0, "customscript/ultimate-upscale.py/img2img/Tile width/maximum": 2048, "customscript/ultimate-upscale.py/img2img/Tile width/step": 64, "customscript/ultimate-upscale.py/img2img/Tile height/visible": true, "customscript/ultimate-upscale.py/img2img/Tile height/value": 0, "customscript/ultimate-upscale.py/img2img/Tile height/minimum": 0, "customscript/ultimate-upscale.py/img2img/Tile height/maximum": 2048, "customscript/ultimate-upscale.py/img2img/Tile height/step": 64, "customscript/ultimate-upscale.py/img2img/Mask blur/visible": true, "customscript/ultimate-upscale.py/img2img/Mask blur/value": 8, "customscript/ultimate-upscale.py/img2img/Mask blur/minimum": 0, "customscript/ultimate-upscale.py/img2img/Mask blur/maximum": 64, "customscript/ultimate-upscale.py/img2img/Mask blur/step": 1, "customscript/ultimate-upscale.py/img2img/Padding/visible": true, "customscript/ultimate-upscale.py/img2img/Padding/value": 32, "customscript/ultimate-upscale.py/img2img/Padding/minimum": 0, "customscript/ultimate-upscale.py/img2img/Padding/maximum": 128, "customscript/ultimate-upscale.py/img2img/Padding/step": 1, "customscript/ultimate-upscale.py/img2img/Denoise/value": 0.35, "customscript/ultimate-upscale.py/img2img/Denoise/minimum": 0, "customscript/ultimate-upscale.py/img2img/Denoise/maximum": 1, "customscript/ultimate-upscale.py/img2img/Denoise/step": 0.01, "customscript/ultimate-upscale.py/img2img/Width/value": 64, "customscript/ultimate-upscale.py/img2img/Width/minimum": 0, "customscript/ultimate-upscale.py/img2img/Width/maximum": 128, "customscript/ultimate-upscale.py/img2img/Width/step": 1, "customscript/ultimate-upscale.py/img2img/Upscaled/visible": true, "customscript/ultimate-upscale.py/img2img/Upscaled/value": true, "customscript/ultimate-upscale.py/img2img/Seams fix/visible": true, "customscript/ultimate-upscale.py/img2img/Seams fix/value": false, "txt2img/New Canvas Width/visible": true, "txt2img/New Canvas Width/value": 512, "txt2img/New Canvas Width/minimum": 256, "txt2img/New Canvas Width/maximum": 1024, "txt2img/New Canvas Width/step": 64, "txt2img/New Canvas Height/visible": true, "txt2img/New Canvas Height/value": 512, "txt2img/New Canvas Height/minimum": 256, "txt2img/New Canvas Height/maximum": 1024, "txt2img/New Canvas Height/step": 64, "customscript/face_editor.py/txt2img/Apply inside mask only/visible": true, "customscript/face_editor.py/txt2img/Apply inside mask only/value": false, "img2img/New Canvas Width/visible": true, "img2img/New Canvas Width/value": 512, "img2img/New Canvas Width/minimum": 256, "img2img/New Canvas Width/maximum": 1024, "img2img/New Canvas Width/step": 64, "img2img/New Canvas Height/visible": true, "img2img/New Canvas Height/value": 512, "img2img/New Canvas Height/minimum": 256, "img2img/New Canvas Height/maximum": 1024, "img2img/New Canvas Height/step": 64, "customscript/face_editor.py/img2img/Apply inside mask only/visible": true, "customscript/face_editor.py/img2img/Apply inside mask only/value": false, "customscript/dynamic_prompting.py/txt2img/Dynamic Prompts enabled/visible": true, "customscript/dynamic_prompting.py/txt2img/Dynamic Prompts enabled/value": true, "customscript/dynamic_prompting.py/txt2img/Combinatorial generation/visible": true, "customscript/dynamic_prompting.py/txt2img/Combinatorial generation/value": false, "customscript/dynamic_prompting.py/txt2img/Max generations (0 = all combinations - the batch count value is ignored)/visible": true, "customscript/dynamic_prompting.py/txt2img/Max generations (0 = all combinations - the batch count value is ignored)/value": 0, "customscript/dynamic_prompting.py/txt2img/Max generations (0 = all combinations - the batch count value is ignored)/minimum": 0, "customscript/dynamic_prompting.py/txt2img/Max generations (0 = all combinations - the batch count value is ignored)/maximum": 1000, "customscript/dynamic_prompting.py/txt2img/Max generations (0 = all combinations - the batch count value is ignored)/step": 1, "customscript/dynamic_prompting.py/txt2img/Combinatorial batches/visible": true, "customscript/dynamic_prompting.py/txt2img/Combinatorial batches/value": 1, "customscript/dynamic_prompting.py/txt2img/Combinatorial batches/minimum": 1, "customscript/dynamic_prompting.py/txt2img/Combinatorial batches/maximum": 10, "customscript/dynamic_prompting.py/txt2img/Combinatorial batches/step": 1, "customscript/dynamic_prompting.py/txt2img/Magic prompt/visible": true, "customscript/dynamic_prompting.py/txt2img/Magic prompt/value": false, "customscript/dynamic_prompting.py/txt2img/Max magic prompt length/visible": true, "customscript/dynamic_prompting.py/txt2img/Max magic prompt length/value": 100, "customscript/dynamic_prompting.py/txt2img/Max magic prompt length/minimum": 30, "customscript/dynamic_prompting.py/txt2img/Max magic prompt length/maximum": 300, "customscript/dynamic_prompting.py/txt2img/Max magic prompt length/step": 10, "customscript/dynamic_prompting.py/txt2img/Magic prompt creativity/visible": true, "customscript/dynamic_prompting.py/txt2img/Magic prompt creativity/value": 0.7, "customscript/dynamic_prompting.py/txt2img/Magic prompt creativity/minimum": 0.1, "customscript/dynamic_prompting.py/txt2img/Magic prompt creativity/maximum": 3.0, "customscript/dynamic_prompting.py/txt2img/Magic prompt creativity/step": 0.1, "customscript/dynamic_prompting.py/txt2img/Magic prompt model/visible": true, "customscript/dynamic_prompting.py/txt2img/Magic prompt model/value": "Gustavosta/MagicPrompt-Stable-Diffusion", "customscript/dynamic_prompting.py/txt2img/Magic prompt blocklist regex/visible": true, "customscript/dynamic_prompting.py/txt2img/Magic prompt blocklist regex/value": "", "customscript/dynamic_prompting.py/txt2img/I'm feeling lucky/visible": true, "customscript/dynamic_prompting.py/txt2img/I'm feeling lucky/value": false, "customscript/dynamic_prompting.py/txt2img/Attention grabber/visible": true, "customscript/dynamic_prompting.py/txt2img/Attention grabber/value": false, "customscript/dynamic_prompting.py/txt2img/Minimum attention/visible": true, "customscript/dynamic_prompting.py/txt2img/Minimum attention/value": 1.1, "customscript/dynamic_prompting.py/txt2img/Minimum attention/minimum": -1, "customscript/dynamic_prompting.py/txt2img/Minimum attention/maximum": 2, "customscript/dynamic_prompting.py/txt2img/Minimum attention/step": 0.1, "customscript/dynamic_prompting.py/txt2img/Maximum attention/visible": true, "customscript/dynamic_prompting.py/txt2img/Maximum attention/value": 1.5, "customscript/dynamic_prompting.py/txt2img/Maximum attention/minimum": -1, "customscript/dynamic_prompting.py/txt2img/Maximum attention/maximum": 2, "customscript/dynamic_prompting.py/txt2img/Maximum attention/step": 0.1, "customscript/dynamic_prompting.py/txt2img/Don't apply to negative prompts/visible": true, "customscript/dynamic_prompting.py/txt2img/Don't apply to negative prompts/value": true, "customscript/dynamic_prompting.py/txt2img/Enable Jinja2 templates/visible": true, "customscript/dynamic_prompting.py/txt2img/Enable Jinja2 templates/value": false, "customscript/dynamic_prompting.py/txt2img/Unlink seed from prompt/visible": true, "customscript/dynamic_prompting.py/txt2img/Unlink seed from prompt/value": false, "customscript/dynamic_prompting.py/txt2img/Fixed seed/visible": true, "customscript/dynamic_prompting.py/txt2img/Fixed seed/value": false, "txt2img/Write raw prompt to image/value": false, "customscript/dynamic_prompting.py/txt2img/Don't generate images/visible": true, "customscript/dynamic_prompting.py/txt2img/Don't generate images/value": false, "txt2img/Write prompts to file/value": false, "txt2img/SAM Model/visible": true, "txt2img/SAM Model/value": "sam_vit_h_4b8939.pth", "txt2img/Enable GroundingDINO/visible": true, "txt2img/Enable GroundingDINO/value": false, "txt2img/GroundingDINO Model (Auto download from huggingface)/visible": true, "txt2img/GroundingDINO Model (Auto download from huggingface)/value": "GroundingDINO_SwinT_OGC (694MB)", "txt2img/GroundingDINO Detection Prompt/visible": true, "txt2img/GroundingDINO Detection Prompt/value": "", "txt2img/GroundingDINO Box Threshold/visible": true, "txt2img/GroundingDINO Box Threshold/value": 0.3, "txt2img/GroundingDINO Box Threshold/minimum": 0.0, "txt2img/GroundingDINO Box Threshold/maximum": 1.0, "txt2img/GroundingDINO Box Threshold/step": 0.001, "txt2img/I want to preview GroundingDINO detection result and select the boxes I want./visible": true, "txt2img/I want to preview GroundingDINO detection result and select the boxes I want./value": false, "txt2img/Preview automatically when add/remove points/visible": true, "txt2img/Preview automatically when add/remove points/value": false, "customscript/sam.py/txt2img/Please go to img2img to copy to inpaint upload./visible": true, "customscript/sam.py/txt2img/Please go to img2img to copy to inpaint upload./value": false, "customscript/sam.py/txt2img/Choose your favorite mask: /visible": true, "customscript/sam.py/txt2img/Choose your favorite mask: /value": "0", "customscript/sam.py/txt2img/Copy to ControlNet Inpaint/visible": true, "customscript/sam.py/txt2img/Copy to ControlNet Inpaint/value": false, "customscript/sam.py/txt2img/ControlNet Inpaint Number/visible": true, "customscript/sam.py/txt2img/ControlNet Inpaint Number/value": "0", "customscript/sam.py/txt2img/Expand Mask/visible": true, "customscript/sam.py/txt2img/Expand Mask/value": false, "txt2img/Specify the amount that you wish to expand the mask by (recommend 30)/visible": true, "txt2img/Specify the amount that you wish to expand the mask by (recommend 30)/value": 0, "txt2img/Specify the amount that you wish to expand the mask by (recommend 30)/minimum": 0, "txt2img/Specify the amount that you wish to expand the mask by (recommend 30)/maximum": 100, "txt2img/Specify the amount that you wish to expand the mask by (recommend 30)/step": 1, "txt2img/Specify the amount that you wish to expand the mask by (recommend 0-10)/visible": true, "txt2img/Specify the amount that you wish to expand the mask by (recommend 0-10)/value": 0, "txt2img/Specify the amount that you wish to expand the mask by (recommend 0-10)/minimum": 0, "txt2img/Specify the amount that you wish to expand the mask by (recommend 0-10)/maximum": 100, "txt2img/Specify the amount that you wish to expand the mask by (recommend 0-10)/step": 1, "txt2img/Source directory/visible": true, "txt2img/Source directory/value": "", "txt2img/Destination directory/visible": true, "txt2img/Destination directory/value": "", "txt2img/Output per image: /visible": true, "txt2img/Output per image: /value": "3", "txt2img/Save masked image/visible": true, "txt2img/Save masked image/value": true, "txt2img/Save mask/visible": true, "txt2img/Save mask/value": true, "txt2img/Save original image with mask and bounding box/visible": true, "txt2img/Save original image with mask and bounding box/value": true, "txt2img/Save background instead of foreground/visible": true, "txt2img/Save background instead of foreground/value": false, "customscript/sam.py/txt2img/Disable SAM functionality and upload manually created mask to ControlNet inpaint./visible": true, "customscript/sam.py/txt2img/Disable SAM functionality and upload manually created mask to ControlNet inpaint./value": false, "customscript/sam.py/txt2img/Also upload to img2img inpainting upload./value": false, "customscript/dynamic_prompting.py/img2img/Dynamic Prompts enabled/visible": true, "customscript/dynamic_prompting.py/img2img/Dynamic Prompts enabled/value": true, "customscript/dynamic_prompting.py/img2img/Combinatorial generation/visible": true, "customscript/dynamic_prompting.py/img2img/Combinatorial generation/value": false, "customscript/dynamic_prompting.py/img2img/Max generations (0 = all combinations - the batch count value is ignored)/visible": true, "customscript/dynamic_prompting.py/img2img/Max generations (0 = all combinations - the batch count value is ignored)/value": 0, "customscript/dynamic_prompting.py/img2img/Max generations (0 = all combinations - the batch count value is ignored)/minimum": 0, "customscript/dynamic_prompting.py/img2img/Max generations (0 = all combinations - the batch count value is ignored)/maximum": 1000, "customscript/dynamic_prompting.py/img2img/Max generations (0 = all combinations - the batch count value is ignored)/step": 1, "customscript/dynamic_prompting.py/img2img/Combinatorial batches/visible": true, "customscript/dynamic_prompting.py/img2img/Combinatorial batches/value": 1, "customscript/dynamic_prompting.py/img2img/Combinatorial batches/minimum": 1, "customscript/dynamic_prompting.py/img2img/Combinatorial batches/maximum": 10, "customscript/dynamic_prompting.py/img2img/Combinatorial batches/step": 1, "customscript/dynamic_prompting.py/img2img/Magic prompt/visible": true, "customscript/dynamic_prompting.py/img2img/Magic prompt/value": false, "customscript/dynamic_prompting.py/img2img/Max magic prompt length/visible": true, "customscript/dynamic_prompting.py/img2img/Max magic prompt length/value": 100, "customscript/dynamic_prompting.py/img2img/Max magic prompt length/minimum": 30, "customscript/dynamic_prompting.py/img2img/Max magic prompt length/maximum": 300, "customscript/dynamic_prompting.py/img2img/Max magic prompt length/step": 10, "customscript/dynamic_prompting.py/img2img/Magic prompt creativity/visible": true, "customscript/dynamic_prompting.py/img2img/Magic prompt creativity/value": 0.7, "customscript/dynamic_prompting.py/img2img/Magic prompt creativity/minimum": 0.1, "customscript/dynamic_prompting.py/img2img/Magic prompt creativity/maximum": 3.0, "customscript/dynamic_prompting.py/img2img/Magic prompt creativity/step": 0.1, "customscript/dynamic_prompting.py/img2img/Magic prompt model/visible": true, "customscript/dynamic_prompting.py/img2img/Magic prompt model/value": "Gustavosta/MagicPrompt-Stable-Diffusion", "customscript/dynamic_prompting.py/img2img/Magic prompt blocklist regex/visible": true, "customscript/dynamic_prompting.py/img2img/Magic prompt blocklist regex/value": "", "customscript/dynamic_prompting.py/img2img/I'm feeling lucky/visible": true, "customscript/dynamic_prompting.py/img2img/I'm feeling lucky/value": false, "customscript/dynamic_prompting.py/img2img/Attention grabber/visible": true, "customscript/dynamic_prompting.py/img2img/Attention grabber/value": false, "customscript/dynamic_prompting.py/img2img/Minimum attention/visible": true, "customscript/dynamic_prompting.py/img2img/Minimum attention/value": 1.1, "customscript/dynamic_prompting.py/img2img/Minimum attention/minimum": -1, "customscript/dynamic_prompting.py/img2img/Minimum attention/maximum": 2, "customscript/dynamic_prompting.py/img2img/Minimum attention/step": 0.1, "customscript/dynamic_prompting.py/img2img/Maximum attention/visible": true, "customscript/dynamic_prompting.py/img2img/Maximum attention/value": 1.5, "customscript/dynamic_prompting.py/img2img/Maximum attention/minimum": -1, "customscript/dynamic_prompting.py/img2img/Maximum attention/maximum": 2, "customscript/dynamic_prompting.py/img2img/Maximum attention/step": 0.1, "customscript/dynamic_prompting.py/img2img/Don't apply to negative prompts/visible": true, "customscript/dynamic_prompting.py/img2img/Don't apply to negative prompts/value": true, "customscript/dynamic_prompting.py/img2img/Enable Jinja2 templates/visible": true, "customscript/dynamic_prompting.py/img2img/Enable Jinja2 templates/value": false, "customscript/dynamic_prompting.py/img2img/Unlink seed from prompt/visible": true, "customscript/dynamic_prompting.py/img2img/Unlink seed from prompt/value": false, "customscript/dynamic_prompting.py/img2img/Fixed seed/visible": true, "customscript/dynamic_prompting.py/img2img/Fixed seed/value": false, "img2img/Write raw prompt to image/value": false, "customscript/dynamic_prompting.py/img2img/Don't generate images/visible": true, "customscript/dynamic_prompting.py/img2img/Don't generate images/value": false, "img2img/Write prompts to file/value": false, "img2img/SAM Model/visible": true, "img2img/SAM Model/value": "sam_vit_h_4b8939.pth", "img2img/Enable GroundingDINO/visible": true, "img2img/Enable GroundingDINO/value": false, "img2img/GroundingDINO Model (Auto download from huggingface)/visible": true, "img2img/GroundingDINO Model (Auto download from huggingface)/value": "GroundingDINO_SwinT_OGC (694MB)", "img2img/GroundingDINO Detection Prompt/visible": true, "img2img/GroundingDINO Detection Prompt/value": "", "img2img/GroundingDINO Box Threshold/visible": true, "img2img/GroundingDINO Box Threshold/value": 0.3, "img2img/GroundingDINO Box Threshold/minimum": 0.0, "img2img/GroundingDINO Box Threshold/maximum": 1.0, "img2img/GroundingDINO Box Threshold/step": 0.001, "img2img/I want to preview GroundingDINO detection result and select the boxes I want./visible": true, "img2img/I want to preview GroundingDINO detection result and select the boxes I want./value": false, "img2img/Preview automatically when add/remove points/visible": true, "img2img/Preview automatically when add/remove points/value": false, "customscript/sam.py/img2img/Copy to Inpaint Upload/visible": true, "customscript/sam.py/img2img/Copy to Inpaint Upload/value": false, "customscript/sam.py/img2img/Choose your favorite mask: /visible": true, "customscript/sam.py/img2img/Choose your favorite mask: /value": "0", "customscript/sam.py/img2img/Copy to ControlNet Inpaint/visible": true, "customscript/sam.py/img2img/Copy to ControlNet Inpaint/value": false, "customscript/sam.py/img2img/ControlNet Inpaint Number/visible": true, "customscript/sam.py/img2img/ControlNet Inpaint Number/value": "0", "customscript/sam.py/img2img/Expand Mask/visible": true, "customscript/sam.py/img2img/Expand Mask/value": false, "img2img/Specify the amount that you wish to expand the mask by (recommend 30)/visible": true, "img2img/Specify the amount that you wish to expand the mask by (recommend 30)/value": 0, "img2img/Specify the amount that you wish to expand the mask by (recommend 30)/minimum": 0, "img2img/Specify the amount that you wish to expand the mask by (recommend 30)/maximum": 100, "img2img/Specify the amount that you wish to expand the mask by (recommend 30)/step": 1, "img2img/Specify the amount that you wish to expand the mask by (recommend 0-10)/visible": true, "img2img/Specify the amount that you wish to expand the mask by (recommend 0-10)/value": 0, "img2img/Specify the amount that you wish to expand the mask by (recommend 0-10)/minimum": 0, "img2img/Specify the amount that you wish to expand the mask by (recommend 0-10)/maximum": 100, "img2img/Specify the amount that you wish to expand the mask by (recommend 0-10)/step": 1, "img2img/Source directory/visible": true, "img2img/Source directory/value": "", "img2img/Destination directory/visible": true, "img2img/Destination directory/value": "", "img2img/Output per image: /visible": true, "img2img/Output per image: /value": "3", "img2img/Save masked image/visible": true, "img2img/Save masked image/value": true, "img2img/Save mask/visible": true, "img2img/Save mask/value": true, "img2img/Save original image with mask and bounding box/visible": true, "img2img/Save original image with mask and bounding box/value": true, "img2img/Save background instead of foreground/visible": true, "img2img/Save background instead of foreground/value": false, "customscript/sam.py/img2img/Disable SAM functionality and upload manually created mask to ControlNet inpaint./visible": true, "customscript/sam.py/img2img/Disable SAM functionality and upload manually created mask to ControlNet inpaint./value": false, "customscript/sam.py/img2img/Also upload to img2img inpainting upload./visible": true, "customscript/sam.py/img2img/Also upload to img2img inpainting upload./value": false, "txt2img/Input Directory/visible": true, "txt2img/Input Directory/value": "", "txt2img/Control Mode (Guess Mode)/visible": true, "txt2img/Control Mode (Guess Mode)/value": "Balanced", "txt2img/[Loopback] Automatically send generated images to this ControlNet unit/visible": true, "txt2img/[Loopback] Automatically send generated images to this ControlNet unit/value": false, "img2img/Controlnet input directory/visible": true, "img2img/Controlnet input directory/value": "", "img2img/Input Directory/visible": true, "img2img/Input Directory/value": "", "img2img/Control Mode (Guess Mode)/visible": true, "img2img/Control Mode (Guess Mode)/value": "Balanced", "img2img/[Loopback] Automatically send generated images to this ControlNet unit/visible": true, "img2img/[Loopback] Automatically send generated images to this ControlNet unit/value": false, "customscript/dynamic_thresholding.py/txt2img/Enable Dynamic Thresholding (CFG Scale Fix)/visible": true, "customscript/dynamic_thresholding.py/txt2img/Enable Dynamic Thresholding (CFG Scale Fix)/value": false, "customscript/dynamic_thresholding.py/txt2img/Mimic CFG Scale/visible": true, "customscript/dynamic_thresholding.py/txt2img/Mimic CFG Scale/value": 7.0, "customscript/dynamic_thresholding.py/txt2img/Mimic CFG Scale/minimum": 1.0, "customscript/dynamic_thresholding.py/txt2img/Mimic CFG Scale/maximum": 30.0, "customscript/dynamic_thresholding.py/txt2img/Mimic CFG Scale/step": 0.5, "customscript/dynamic_thresholding.py/txt2img/Top percentile of latents to clamp/visible": true, "customscript/dynamic_thresholding.py/txt2img/Top percentile of latents to clamp/value": 100.0, "customscript/dynamic_thresholding.py/txt2img/Top percentile of latents to clamp/minimum": 90.0, "customscript/dynamic_thresholding.py/txt2img/Top percentile of latents to clamp/maximum": 100.0, "customscript/dynamic_thresholding.py/txt2img/Top percentile of latents to clamp/step": 0.05, "customscript/dynamic_thresholding.py/txt2img/Mimic Scale Scheduler/visible": true, "customscript/dynamic_thresholding.py/txt2img/Mimic Scale Scheduler/value": "Constant", "customscript/dynamic_thresholding.py/txt2img/Minimum value of the Mimic Scale Scheduler/visible": true, "customscript/dynamic_thresholding.py/txt2img/Minimum value of the Mimic Scale Scheduler/value": 0.0, "customscript/dynamic_thresholding.py/txt2img/Minimum value of the Mimic Scale Scheduler/minimum": 0.0, "customscript/dynamic_thresholding.py/txt2img/Minimum value of the Mimic Scale Scheduler/maximum": 30.0, "customscript/dynamic_thresholding.py/txt2img/Minimum value of the Mimic Scale Scheduler/step": 0.5, "customscript/dynamic_thresholding.py/txt2img/CFG Scale Scheduler/visible": true, "customscript/dynamic_thresholding.py/txt2img/CFG Scale Scheduler/value": "Constant", "customscript/dynamic_thresholding.py/txt2img/Minimum value of the CFG Scale Scheduler/visible": true, "customscript/dynamic_thresholding.py/txt2img/Minimum value of the CFG Scale Scheduler/value": 0.0, "customscript/dynamic_thresholding.py/txt2img/Minimum value of the CFG Scale Scheduler/minimum": 0.0, "customscript/dynamic_thresholding.py/txt2img/Minimum value of the CFG Scale Scheduler/maximum": 30.0, "customscript/dynamic_thresholding.py/txt2img/Minimum value of the CFG Scale Scheduler/step": 0.5, "customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/value": 4.0, "customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/minimum": 0.0, "customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/maximum": 15.0, "customscript/dynamic_thresholding.py/txt2img/Power Scheduler Value/step": 0.5, "customscript/cutoff.py/txt2img/Enabled/visible": true, "customscript/cutoff.py/txt2img/Enabled/value": false, "customscript/cutoff.py/txt2img/Target tokens (comma separated)/visible": true, "customscript/cutoff.py/txt2img/Target tokens (comma separated)/value": "", "customscript/cutoff.py/txt2img/Weight/visible": true, "customscript/cutoff.py/txt2img/Weight/value": 0.5, "customscript/cutoff.py/txt2img/Weight/minimum": -1.0, "customscript/cutoff.py/txt2img/Weight/maximum": 2.0, "customscript/cutoff.py/txt2img/Weight/step": 0.01, "customscript/cutoff.py/txt2img/Disable for Negative prompt./visible": true, "customscript/cutoff.py/txt2img/Disable for Negative prompt./value": true, "customscript/cutoff.py/txt2img/Cutoff strongly./visible": true, "customscript/cutoff.py/txt2img/Cutoff strongly./value": false, "customscript/cutoff.py/txt2img/Padding token (ID or single token)/visible": true, "customscript/cutoff.py/txt2img/Padding token (ID or single token)/value": "", "customscript/cutoff.py/txt2img/Interpolation method/visible": true, "customscript/cutoff.py/txt2img/Interpolation method/value": "Lerp", "customscript/cutoff.py/txt2img/Debug log/visible": true, "customscript/cutoff.py/txt2img/Debug log/value": false, "customscript/llul.py/txt2img/Enabled/visible": true, "customscript/llul.py/txt2img/Enabled/value": false, "customscript/llul.py/txt2img/Multiplication (2^N)/visible": true, "customscript/llul.py/txt2img/Multiplication (2^N)/value": 1, "customscript/llul.py/txt2img/Multiplication (2^N)/minimum": 1, "customscript/llul.py/txt2img/Multiplication (2^N)/maximum": 5, "customscript/llul.py/txt2img/Multiplication (2^N)/step": 1, "customscript/llul.py/txt2img/Weight/visible": true, "customscript/llul.py/txt2img/Weight/value": 0.15, "customscript/llul.py/txt2img/Weight/minimum": -1, "customscript/llul.py/txt2img/Weight/maximum": 2, "customscript/llul.py/txt2img/Weight/step": 0.01, "customscript/llul.py/txt2img/Force convert half to float on interpolation (for some platforms)/visible": true, "customscript/llul.py/txt2img/Force convert half to float on interpolation (for some platforms)/value": false, "customscript/llul.py/txt2img/I know what I am doing./visible": true, "customscript/llul.py/txt2img/I know what I am doing./value": false, "customscript/llul.py/txt2img/Layers/visible": true, "customscript/llul.py/txt2img/Layers/value": "OUT", "customscript/llul.py/txt2img/Start steps/visible": true, "customscript/llul.py/txt2img/Start steps/value": 5, "customscript/llul.py/txt2img/Start steps/minimum": 1, "customscript/llul.py/txt2img/Start steps/maximum": 300, "customscript/llul.py/txt2img/Start steps/step": 1, "customscript/llul.py/txt2img/Max steps/visible": true, "customscript/llul.py/txt2img/Max steps/value": 0, "customscript/llul.py/txt2img/Max steps/minimum": 0, "customscript/llul.py/txt2img/Max steps/maximum": 300, "customscript/llul.py/txt2img/Max steps/step": 1, "customscript/llul.py/txt2img/Upscaling/visible": true, "customscript/llul.py/txt2img/Upscaling/value": "Bilinear", "customscript/llul.py/txt2img/Enable AA for Upscaling./visible": true, "customscript/llul.py/txt2img/Enable AA for Upscaling./value": false, "customscript/llul.py/txt2img/Downscaling/visible": true, "customscript/llul.py/txt2img/Downscaling/value": "Pooling Max", "customscript/llul.py/txt2img/Enable AA for Downscaling./visible": true, "customscript/llul.py/txt2img/Enable AA for Downscaling./value": false, "customscript/llul.py/txt2img/interpolation method/visible": true, "customscript/llul.py/txt2img/interpolation method/value": "Lerp", "customscript/dynamic_thresholding.py/img2img/Enable Dynamic Thresholding (CFG Scale Fix)/visible": true, "customscript/dynamic_thresholding.py/img2img/Enable Dynamic Thresholding (CFG Scale Fix)/value": false, "customscript/dynamic_thresholding.py/img2img/Mimic CFG Scale/visible": true, "customscript/dynamic_thresholding.py/img2img/Mimic CFG Scale/value": 7.0, "customscript/dynamic_thresholding.py/img2img/Mimic CFG Scale/minimum": 1.0, "customscript/dynamic_thresholding.py/img2img/Mimic CFG Scale/maximum": 30.0, "customscript/dynamic_thresholding.py/img2img/Mimic CFG Scale/step": 0.5, "customscript/dynamic_thresholding.py/img2img/Top percentile of latents to clamp/visible": true, "customscript/dynamic_thresholding.py/img2img/Top percentile of latents to clamp/value": 100.0, "customscript/dynamic_thresholding.py/img2img/Top percentile of latents to clamp/minimum": 90.0, "customscript/dynamic_thresholding.py/img2img/Top percentile of latents to clamp/maximum": 100.0, "customscript/dynamic_thresholding.py/img2img/Top percentile of latents to clamp/step": 0.05, "customscript/dynamic_thresholding.py/img2img/Mimic Scale Scheduler/visible": true, "customscript/dynamic_thresholding.py/img2img/Mimic Scale Scheduler/value": "Constant", "customscript/dynamic_thresholding.py/img2img/Minimum value of the Mimic Scale Scheduler/visible": true, "customscript/dynamic_thresholding.py/img2img/Minimum value of the Mimic Scale Scheduler/value": 0.0, "customscript/dynamic_thresholding.py/img2img/Minimum value of the Mimic Scale Scheduler/minimum": 0.0, "customscript/dynamic_thresholding.py/img2img/Minimum value of the Mimic Scale Scheduler/maximum": 30.0, "customscript/dynamic_thresholding.py/img2img/Minimum value of the Mimic Scale Scheduler/step": 0.5, "customscript/dynamic_thresholding.py/img2img/CFG Scale Scheduler/visible": true, "customscript/dynamic_thresholding.py/img2img/CFG Scale Scheduler/value": "Constant", "customscript/dynamic_thresholding.py/img2img/Minimum value of the CFG Scale Scheduler/visible": true, "customscript/dynamic_thresholding.py/img2img/Minimum value of the CFG Scale Scheduler/value": 0.0, "customscript/dynamic_thresholding.py/img2img/Minimum value of the CFG Scale Scheduler/minimum": 0.0, "customscript/dynamic_thresholding.py/img2img/Minimum value of the CFG Scale Scheduler/maximum": 30.0, "customscript/dynamic_thresholding.py/img2img/Minimum value of the CFG Scale Scheduler/step": 0.5, "customscript/dynamic_thresholding.py/img2img/Power Scheduler Value/value": 4.0, "customscript/dynamic_thresholding.py/img2img/Power Scheduler Value/minimum": 0.0, "customscript/dynamic_thresholding.py/img2img/Power Scheduler Value/maximum": 15.0, "customscript/dynamic_thresholding.py/img2img/Power Scheduler Value/step": 0.5, "customscript/cutoff.py/img2img/Enabled/visible": true, "customscript/cutoff.py/img2img/Enabled/value": false, "customscript/cutoff.py/img2img/Target tokens (comma separated)/visible": true, "customscript/cutoff.py/img2img/Target tokens (comma separated)/value": "", "customscript/cutoff.py/img2img/Weight/visible": true, "customscript/cutoff.py/img2img/Weight/value": 0.5, "customscript/cutoff.py/img2img/Weight/minimum": -1.0, "customscript/cutoff.py/img2img/Weight/maximum": 2.0, "customscript/cutoff.py/img2img/Weight/step": 0.01, "customscript/cutoff.py/img2img/Disable for Negative prompt./visible": true, "customscript/cutoff.py/img2img/Disable for Negative prompt./value": true, "customscript/cutoff.py/img2img/Cutoff strongly./visible": true, "customscript/cutoff.py/img2img/Cutoff strongly./value": false, "customscript/cutoff.py/img2img/Padding token (ID or single token)/visible": true, "customscript/cutoff.py/img2img/Padding token (ID or single token)/value": "", "customscript/cutoff.py/img2img/Interpolation method/visible": true, "customscript/cutoff.py/img2img/Interpolation method/value": "Lerp", "customscript/cutoff.py/img2img/Debug log/visible": true, "customscript/cutoff.py/img2img/Debug log/value": false, "customscript/llul.py/img2img/Enabled/visible": true, "customscript/llul.py/img2img/Enabled/value": false, "customscript/llul.py/img2img/Multiplication (2^N)/visible": true, "customscript/llul.py/img2img/Multiplication (2^N)/value": 1, "customscript/llul.py/img2img/Multiplication (2^N)/minimum": 1, "customscript/llul.py/img2img/Multiplication (2^N)/maximum": 5, "customscript/llul.py/img2img/Multiplication (2^N)/step": 1, "customscript/llul.py/img2img/Weight/visible": true, "customscript/llul.py/img2img/Weight/value": 0.15, "customscript/llul.py/img2img/Weight/minimum": -1, "customscript/llul.py/img2img/Weight/maximum": 2, "customscript/llul.py/img2img/Weight/step": 0.01, "customscript/llul.py/img2img/Force convert half to float on interpolation (for some platforms)/visible": true, "customscript/llul.py/img2img/Force convert half to float on interpolation (for some platforms)/value": false, "customscript/llul.py/img2img/I know what I am doing./visible": true, "customscript/llul.py/img2img/I know what I am doing./value": false, "customscript/llul.py/img2img/Layers/visible": true, "customscript/llul.py/img2img/Layers/value": "OUT", "customscript/llul.py/img2img/Start steps/visible": true, "customscript/llul.py/img2img/Start steps/value": 5, "customscript/llul.py/img2img/Start steps/minimum": 1, "customscript/llul.py/img2img/Start steps/maximum": 300, "customscript/llul.py/img2img/Start steps/step": 1, "customscript/llul.py/img2img/Max steps/visible": true, "customscript/llul.py/img2img/Max steps/value": 0, "customscript/llul.py/img2img/Max steps/minimum": 0, "customscript/llul.py/img2img/Max steps/maximum": 300, "customscript/llul.py/img2img/Max steps/step": 1, "customscript/llul.py/img2img/Upscaling/visible": true, "customscript/llul.py/img2img/Upscaling/value": "Bilinear", "customscript/llul.py/img2img/Enable AA for Upscaling./visible": true, "customscript/llul.py/img2img/Enable AA for Upscaling./value": false, "customscript/llul.py/img2img/Downscaling/visible": true, "customscript/llul.py/img2img/Downscaling/value": "Pooling Max", "customscript/llul.py/img2img/Enable AA for Downscaling./visible": true, "customscript/llul.py/img2img/Enable AA for Downscaling./value": false, "customscript/llul.py/img2img/interpolation method/visible": true, "customscript/llul.py/img2img/interpolation method/value": "Lerp", "txt2img/GroundingDINO preview status/value": "", "txt2img/Segment Anything status/visible": true, "txt2img/Segment Anything status/value": "", "customscript/sam.py/txt2img/Copy to ControlNet Inpainting/visible": true, "customscript/sam.py/txt2img/Copy to ControlNet Inpainting/value": false, "customscript/sam.py/txt2img/ControlNet inpaint not masked/visible": true, "customscript/sam.py/txt2img/ControlNet inpaint not masked/value": false, "customscript/sam.py/txt2img/ControlNet Inpaint Index/visible": true, "customscript/sam.py/txt2img/ControlNet Inpaint Index/value": "0", "customscript/sam.py/txt2img/Enable Sketch/visible": true, "customscript/sam.py/txt2img/Enable Sketch/value": false, "customscript/sam.py/txt2img/Mask transparency/visible": true, "customscript/sam.py/txt2img/Mask transparency/value": 0, "customscript/sam.py/txt2img/Mask transparency/minimum": 0, "customscript/sam.py/txt2img/Mask transparency/maximum": 100, "customscript/sam.py/txt2img/Mask transparency/step": 1, "txt2img/GroundingDINO batch progress status/visible": true, "txt2img/GroundingDINO batch progress status/value": "", "txt2img/points_per_side/visible": true, "txt2img/points_per_side/value": 32, "txt2img/points_per_batch/visible": true, "txt2img/points_per_batch/value": 64, "txt2img/pred_iou_thresh/visible": true, "txt2img/pred_iou_thresh/value": 0.88, "txt2img/pred_iou_thresh/minimum": 0, "txt2img/pred_iou_thresh/maximum": 1, "txt2img/pred_iou_thresh/step": 0.01, "txt2img/stability_score_thresh/visible": true, "txt2img/stability_score_thresh/value": 0.95, "txt2img/stability_score_thresh/minimum": 0, "txt2img/stability_score_thresh/maximum": 1, "txt2img/stability_score_thresh/step": 0.01, "txt2img/stability_score_offset/visible": true, "txt2img/stability_score_offset/value": 1.0, "txt2img/box_nms_thresh/visible": true, "txt2img/box_nms_thresh/value": 0.7, "txt2img/box_nms_thresh/minimum": 0, "txt2img/box_nms_thresh/maximum": 1, "txt2img/box_nms_thresh/step": 0.01, "txt2img/crop_n_layers/visible": true, "txt2img/crop_n_layers/value": 0, "txt2img/crop_nms_thresh/visible": true, "txt2img/crop_nms_thresh/value": 0.7, "txt2img/crop_nms_thresh/minimum": 0, "txt2img/crop_nms_thresh/maximum": 1, "txt2img/crop_nms_thresh/step": 0.01, "txt2img/crop_overlap_ratio/visible": true, "txt2img/crop_overlap_ratio/value": 0.3413333333333333, "txt2img/crop_overlap_ratio/minimum": 0, "txt2img/crop_overlap_ratio/maximum": 1, "txt2img/crop_overlap_ratio/step": 0.01, "txt2img/crop_n_points_downscale_factor/visible": true, "txt2img/crop_n_points_downscale_factor/value": 1, "txt2img/min_mask_region_area/visible": true, "txt2img/min_mask_region_area/value": 0, "txt2img/Choose preprocessor for semantic segmentation: /visible": true, "txt2img/Choose preprocessor for semantic segmentation: /value": "seg_ufade20k", "txt2img/Preprocessor resolution/visible": true, "customscript/sam.py/txt2img/Select ControlNet input from random segmentation gallery. Choose 2 for Edit-Anything ControlNet./value": "2", "txt2img/Enable Pixel Perfect from lllyasviel. Configure your target width and height on txt2img/img2img default panel before preview if you wish to enable pixel perfect./visible": true, "txt2img/Enable Pixel Perfect from lllyasviel. Configure your target width and height on txt2img/img2img default panel before preview if you wish to enable pixel perfect./value": false, "txt2img/Segmentation status/visible": true, "txt2img/Segmentation status/value": "", "customscript/sam.py/txt2img/Copy to ControlNet Segmentation/visible": true, "customscript/sam.py/txt2img/Copy to ControlNet Segmentation/value": false, "customscript/sam.py/txt2img/ControlNet Segmentation Index/visible": true, "customscript/sam.py/txt2img/ControlNet Segmentation Index/value": "0", "txt2img/Choose mode: /visible": true, "txt2img/Choose mode: /value": "single image", "txt2img/Input path/value": "", "txt2img/Output path/visible": true, "txt2img/Output path/value": "", "txt2img/Image layout status/visible": true, "txt2img/Image layout status/value": "", "txt2img/Enter category IDs/visible": true, "txt2img/Enter category IDs/value": "", "txt2img/Categorical mask status/visible": true, "txt2img/Categorical mask status/value": "", "img2img/GroundingDINO preview status/value": "", "img2img/Segment Anything status/visible": true, "img2img/Segment Anything status/value": "", "customscript/sam.py/img2img/Copy to Inpaint Upload & ControlNet Inpainting/visible": true, "customscript/sam.py/img2img/Copy to Inpaint Upload & ControlNet Inpainting/value": false, "customscript/sam.py/img2img/ControlNet inpaint not masked/value": false, "customscript/sam.py/img2img/ControlNet Inpaint Index/value": "0", "customscript/sam.py/img2img/Enable Sketch/visible": true, "customscript/sam.py/img2img/Enable Sketch/value": false, "customscript/sam.py/img2img/Mask transparency/visible": true, "customscript/sam.py/img2img/Mask transparency/value": 0, "customscript/sam.py/img2img/Mask transparency/minimum": 0, "customscript/sam.py/img2img/Mask transparency/maximum": 100, "customscript/sam.py/img2img/Mask transparency/step": 1, "img2img/GroundingDINO batch progress status/visible": true, "img2img/GroundingDINO batch progress status/value": "", "img2img/points_per_side/visible": true, "img2img/points_per_side/value": 32, "img2img/points_per_batch/visible": true, "img2img/points_per_batch/value": 64, "img2img/pred_iou_thresh/visible": true, "img2img/pred_iou_thresh/value": 0.88, "img2img/pred_iou_thresh/minimum": 0, "img2img/pred_iou_thresh/maximum": 1, "img2img/pred_iou_thresh/step": 0.01, "img2img/stability_score_thresh/visible": true, "img2img/stability_score_thresh/value": 0.95, "img2img/stability_score_thresh/minimum": 0, "img2img/stability_score_thresh/maximum": 1, "img2img/stability_score_thresh/step": 0.01, "img2img/stability_score_offset/visible": true, "img2img/stability_score_offset/value": 1.0, "img2img/box_nms_thresh/visible": true, "img2img/box_nms_thresh/value": 0.7, "img2img/box_nms_thresh/minimum": 0, "img2img/box_nms_thresh/maximum": 1, "img2img/box_nms_thresh/step": 0.01, "img2img/crop_n_layers/visible": true, "img2img/crop_n_layers/value": 0, "img2img/crop_nms_thresh/visible": true, "img2img/crop_nms_thresh/value": 0.7, "img2img/crop_nms_thresh/minimum": 0, "img2img/crop_nms_thresh/maximum": 1, "img2img/crop_nms_thresh/step": 0.01, "img2img/crop_overlap_ratio/visible": true, "img2img/crop_overlap_ratio/value": 0.3413333333333333, "img2img/crop_overlap_ratio/minimum": 0, "img2img/crop_overlap_ratio/maximum": 1, "img2img/crop_overlap_ratio/step": 0.01, "img2img/crop_n_points_downscale_factor/visible": true, "img2img/crop_n_points_downscale_factor/value": 1, "img2img/min_mask_region_area/visible": true, "img2img/min_mask_region_area/value": 0, "img2img/Choose preprocessor for semantic segmentation: /visible": true, "img2img/Choose preprocessor for semantic segmentation: /value": "seg_ufade20k", "img2img/Preprocessor resolution/visible": true, "customscript/sam.py/img2img/Select ControlNet input from random segmentation gallery. Choose 2 for Edit-Anything ControlNet./value": "2", "img2img/Enable Pixel Perfect from lllyasviel. Configure your target width and height on txt2img/img2img default panel before preview if you wish to enable pixel perfect./visible": true, "img2img/Enable Pixel Perfect from lllyasviel. Configure your target width and height on txt2img/img2img default panel before preview if you wish to enable pixel perfect./value": false, "img2img/Segmentation status/visible": true, "img2img/Segmentation status/value": "", "customscript/sam.py/img2img/Copy to ControlNet Segmentation/visible": true, "customscript/sam.py/img2img/Copy to ControlNet Segmentation/value": false, "customscript/sam.py/img2img/ControlNet Segmentation Index/visible": true, "customscript/sam.py/img2img/ControlNet Segmentation Index/value": "0", "img2img/Choose mode: /visible": true, "img2img/Choose mode: /value": "single image", "img2img/Input path/value": "", "img2img/Output path/visible": true, "img2img/Output path/value": "", "img2img/Image layout status/visible": true, "img2img/Image layout status/value": "", "img2img/Enter category IDs/visible": true, "img2img/Enter category IDs/value": "", "img2img/Categorical mask status/visible": true, "img2img/Categorical mask status/value": "", "customscript/lora_block_weight.py/txt2img/Active/visible": true, "customscript/lora_block_weight.py/txt2img/Active/value": true, "customscript/lora_block_weight.py/txt2img/diff image color/visible": true, "customscript/lora_block_weight.py/txt2img/diff image color/value": "black", "customscript/lora_block_weight.py/txt2img/change X-Y/visible": true, "customscript/lora_block_weight.py/txt2img/change X-Y/value": false, "customscript/lora_block_weight.py/txt2img/difference threshold/visible": true, "customscript/lora_block_weight.py/txt2img/difference threshold/value": "20", "customscript/lora_block_weight.py/txt2img/X Types /visible": true, "customscript/lora_block_weight.py/txt2img/X Types /value": "values", "customscript/lora_block_weight.py/txt2img/X Values /visible": true, "customscript/lora_block_weight.py/txt2img/X Values /value": "0,0.25,0.5,0.75,1", "customscript/lora_block_weight.py/txt2img/Y Types /visible": true, "customscript/lora_block_weight.py/txt2img/Y Types /value": "Block ID", "customscript/lora_block_weight.py/txt2img/Y Values /visible": true, "customscript/lora_block_weight.py/txt2img/Y Values /value": "IN05-OUT05", "customscript/lora_block_weight.py/txt2img/Z type /visible": true, "customscript/lora_block_weight.py/txt2img/Z type /value": "none", "customscript/lora_block_weight.py/txt2img/Z values /visible": true, "customscript/lora_block_weight.py/txt2img/Z values /value": "", "customscript/lora_block_weight.py/txt2img/Range/value": "0.5,1", "customscript/lora_block_weight.py/txt2img/Blocks/value": "BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11", "customscript/lora_block_weight.py/txt2img/number of seed/visible": true, "customscript/lora_block_weight.py/txt2img/number of seed/value": 1.0, "customscript/lora_block_weight.py/txt2img/print change/visible": true, "customscript/lora_block_weight.py/txt2img/print change/value": false, "customscript/composable_lora_script.py/txt2img/Enabled/visible": true, "customscript/composable_lora_script.py/txt2img/Enabled/value": false, "customscript/composable_lora_script.py/txt2img/Use Lora in uc text model encoder/visible": true, "customscript/composable_lora_script.py/txt2img/Use Lora in uc text model encoder/value": false, "customscript/composable_lora_script.py/txt2img/Use Lora in uc diffusion model/visible": true, "customscript/composable_lora_script.py/txt2img/Use Lora in uc diffusion model/value": false, "customscript/two_shot.py/txt2img/Enabled/visible": true, "customscript/two_shot.py/txt2img/Enabled/value": false, "customscript/two_shot.py/txt2img/Divisions/visible": true, "customscript/two_shot.py/txt2img/Divisions/value": "1:1,1:2,1:2", "customscript/two_shot.py/txt2img/Positions/visible": true, "customscript/two_shot.py/txt2img/Positions/value": "0:0,0:0,0:1", "customscript/two_shot.py/txt2img/Weights/visible": true, "customscript/two_shot.py/txt2img/Weights/value": "0.2,0.8,0.8", "customscript/two_shot.py/txt2img/end at this step/visible": true, "customscript/two_shot.py/txt2img/end at this step/value": 20, "customscript/two_shot.py/txt2img/end at this step/minimum": 0, "customscript/two_shot.py/txt2img/end at this step/maximum": 150, "customscript/two_shot.py/txt2img/end at this step/step": 1, "txt2img/Extra generation params/visible": true, "txt2img/Extra generation params/value": "", "customscript/lora_block_weight.py/img2img/Active/visible": true, "customscript/lora_block_weight.py/img2img/Active/value": true, "customscript/lora_block_weight.py/img2img/diff image color/visible": true, "customscript/lora_block_weight.py/img2img/diff image color/value": "black", "customscript/lora_block_weight.py/img2img/change X-Y/visible": true, "customscript/lora_block_weight.py/img2img/change X-Y/value": false, "customscript/lora_block_weight.py/img2img/difference threshold/visible": true, "customscript/lora_block_weight.py/img2img/difference threshold/value": "20", "customscript/lora_block_weight.py/img2img/X Types /visible": true, "customscript/lora_block_weight.py/img2img/X Types /value": "values", "customscript/lora_block_weight.py/img2img/X Values /visible": true, "customscript/lora_block_weight.py/img2img/X Values /value": "0,0.25,0.5,0.75,1", "customscript/lora_block_weight.py/img2img/Y Types /visible": true, "customscript/lora_block_weight.py/img2img/Y Types /value": "Block ID", "customscript/lora_block_weight.py/img2img/Y Values /visible": true, "customscript/lora_block_weight.py/img2img/Y Values /value": "IN05-OUT05", "customscript/lora_block_weight.py/img2img/Z type /visible": true, "customscript/lora_block_weight.py/img2img/Z type /value": "none", "customscript/lora_block_weight.py/img2img/Z values /visible": true, "customscript/lora_block_weight.py/img2img/Z values /value": "", "customscript/lora_block_weight.py/img2img/Range/value": "0.5,1", "customscript/lora_block_weight.py/img2img/Blocks/value": "BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11", "customscript/lora_block_weight.py/img2img/number of seed/visible": true, "customscript/lora_block_weight.py/img2img/number of seed/value": 1.0, "customscript/lora_block_weight.py/img2img/print change/visible": true, "customscript/lora_block_weight.py/img2img/print change/value": false, "customscript/composable_lora_script.py/img2img/Enabled/visible": true, "customscript/composable_lora_script.py/img2img/Enabled/value": false, "customscript/composable_lora_script.py/img2img/Use Lora in uc text model encoder/visible": true, "customscript/composable_lora_script.py/img2img/Use Lora in uc text model encoder/value": false, "customscript/composable_lora_script.py/img2img/Use Lora in uc diffusion model/visible": true, "customscript/composable_lora_script.py/img2img/Use Lora in uc diffusion model/value": false, "customscript/two_shot.py/img2img/Enabled/visible": true, "customscript/two_shot.py/img2img/Enabled/value": false, "customscript/two_shot.py/img2img/Divisions/visible": true, "customscript/two_shot.py/img2img/Divisions/value": "1:1,1:2,1:2", "customscript/two_shot.py/img2img/Positions/visible": true, "customscript/two_shot.py/img2img/Positions/value": "0:0,0:0,0:1", "customscript/two_shot.py/img2img/Weights/visible": true, "customscript/two_shot.py/img2img/Weights/value": "0.2,0.8,0.8", "customscript/two_shot.py/img2img/end at this step/visible": true, "customscript/two_shot.py/img2img/end at this step/value": 20, "customscript/two_shot.py/img2img/end at this step/minimum": 0, "customscript/two_shot.py/img2img/end at this step/maximum": 150, "customscript/two_shot.py/img2img/end at this step/step": 1, "img2img/Extra generation params/visible": true, "img2img/Extra generation params/value": "", "customscript/vae_optimize.py/txt2img/Fast Encoder Color Fix/visible": true, "customscript/vae_optimize.py/txt2img/Fast Encoder Color Fix/value": false, "customscript/vae_optimize.py/img2img/Fast Encoder Color Fix/visible": true, "customscript/vae_optimize.py/img2img/Fast Encoder Color Fix/value": false, "customscript/vae_optimize.py/txt2img/Move VAE to GPU (if possible)/visible": true, "customscript/vae_optimize.py/txt2img/Move VAE to GPU (if possible)/value": true, "customscript/vae_optimize.py/img2img/Move VAE to GPU (if possible)/visible": true, "customscript/vae_optimize.py/img2img/Move VAE to GPU (if possible)/value": true, "customscript/llul.py/txt2img/Enable mask which scales the weight (black = 0.0, white = 1.0)/visible": true, "customscript/llul.py/txt2img/Enable mask which scales the weight (black = 0.0, white = 1.0)/value": false, "customscript/llul.py/img2img/Enable mask which scales the weight (black = 0.0, white = 1.0)/visible": true, "customscript/llul.py/img2img/Enable mask which scales the weight (black = 0.0, white = 1.0)/value": false, "txt2img/Tabs@txt2img_extra_tabs/selected": null, "txt2img/Switch dims/visible": true, "txt2img/Random seed/visible": true, "txt2img/Reuse seed/visible": true, "txt2img/Tabs@txt2img_controlnet_tabs/selected": null, "txt2img/Control Mode/visible": true, "txt2img/Control Mode/value": "Balanced", "customscript/llul.py/txt2img/Add the effective area to output images./visible": true, "customscript/llul.py/txt2img/Add the effective area to output images./value": true, "img2img/Tabs@img2img_extra_tabs/selected": null, "img2img/Tabs@mode_img2img/selected": null, "img2img/Scale/visible": true, "img2img/Scale/value": 1.0, "img2img/Scale/minimum": 0.05, "img2img/Scale/maximum": 4.0, "img2img/Scale/step": 0.05, "img2img/Unused/visible": true, "img2img/Unused/value": 0, "img2img/Unused/minimum": 0, "img2img/Unused/maximum": 100, "img2img/Unused/step": 1, "img2img/Random seed/visible": true, "img2img/Reuse seed/visible": true, "img2img/Tabs@img2img_controlnet_tabs/selected": null, "img2img/Control Mode/visible": true, "img2img/Control Mode/value": "Balanced", "customscript/llul.py/img2img/Add the effective area to output images./visible": true, "customscript/llul.py/img2img/Add the effective area to output images./value": true, "extras/Tabs@mode_extras/selected": null, "extras/Tabs@extras_resize_mode/selected": null, "customscript/postprocessing_upscale.py/extras/Width/minimum": 64, "customscript/postprocessing_upscale.py/extras/Width/maximum": 2048, "customscript/postprocessing_upscale.py/extras/Width/step": 8, "customscript/postprocessing_upscale.py/extras/Height/minimum": 64, "customscript/postprocessing_upscale.py/extras/Height/maximum": 2048, "customscript/postprocessing_upscale.py/extras/Height/step": 8, "modelmerger/Save metadata (.safetensors only)/visible": true, "modelmerger/Save metadata (.safetensors only)/value": true, "train/Tabs@train_tabs/selected": null, "train/Keep original size/visible": true, "train/Keep original size/value": false, "webui/Tabs@tabs/selected": null, "customscript/face_editor.py/txt2img/Apply scripts to faces/visible": true, "customscript/face_editor.py/txt2img/Apply scripts to faces/value": false, "customscript/face_editor.py/img2img/Apply scripts to faces/visible": true, "customscript/face_editor.py/img2img/Apply scripts to faces/value": false, "customscript/tilediffusion.py/txt2img/Enable Tiled Diffusion/visible": true, "customscript/tilediffusion.py/txt2img/Enable Tiled Diffusion/value": false, "customscript/tilediffusion.py/txt2img/Move ControlNet tensor to CPU (if applicable)/visible": true, "customscript/tilediffusion.py/txt2img/Move ControlNet tensor to CPU (if applicable)/value": false, "customscript/vae_optimize.py/txt2img/Enable Tiled VAE/visible": true, "customscript/vae_optimize.py/txt2img/Enable Tiled VAE/value": false, "customscript/tilediffusion.py/img2img/Enable Tiled Diffusion/visible": true, "customscript/tilediffusion.py/img2img/Enable Tiled Diffusion/value": false, "customscript/tilediffusion.py/img2img/Move ControlNet tensor to CPU (if applicable)/visible": true, "customscript/tilediffusion.py/img2img/Move ControlNet tensor to CPU (if applicable)/value": false, "customscript/vae_optimize.py/img2img/Enable Tiled VAE/visible": true, "customscript/vae_optimize.py/img2img/Enable Tiled VAE/value": false, "customscript/vectorstudio.py/txt2img/Visual style/visible": true, "customscript/vectorstudio.py/txt2img/Visual style/value": "Illustration", "customscript/vectorstudio.py/txt2img/Enable Vectorizing/visible": true, "customscript/vectorstudio.py/txt2img/Enable Vectorizing/value": true, "customscript/vectorstudio.py/txt2img/Output format/visible": true, "customscript/vectorstudio.py/txt2img/Output format/value": "svg", "customscript/vectorstudio.py/txt2img/White is Opaque/visible": true, "customscript/vectorstudio.py/txt2img/White is Opaque/value": true, "customscript/vectorstudio.py/txt2img/Cut white margin from input/visible": true, "customscript/vectorstudio.py/txt2img/Cut white margin from input/value": true, "customscript/vectorstudio.py/txt2img/Keep temp images/visible": true, "customscript/vectorstudio.py/txt2img/Keep temp images/value": false, "customscript/vectorstudio.py/txt2img/Threshold/visible": true, "customscript/vectorstudio.py/txt2img/Threshold/value": 0.5, "customscript/vectorstudio.py/txt2img/Threshold/minimum": 0.0, "customscript/vectorstudio.py/txt2img/Threshold/maximum": 1.0, "customscript/vectorstudio.py/txt2img/Threshold/step": 0.05, "customscript/vectorstudio.py/txt2img/Transparent PNG/visible": true, "customscript/vectorstudio.py/txt2img/Transparent PNG/value": false, "customscript/vectorstudio.py/txt2img/Noise Tolerance/visible": true, "customscript/vectorstudio.py/txt2img/Noise Tolerance/value": 16, "customscript/vectorstudio.py/txt2img/Noise Tolerance/minimum": 0, "customscript/vectorstudio.py/txt2img/Noise Tolerance/maximum": 128, "customscript/vectorstudio.py/txt2img/Noise Tolerance/step": 1, "customscript/vectorstudio.py/txt2img/Quantize/visible": true, "customscript/vectorstudio.py/txt2img/Quantize/value": 16, "customscript/vectorstudio.py/txt2img/Quantize/minimum": 2, "customscript/vectorstudio.py/txt2img/Quantize/maximum": 255, "customscript/vectorstudio.py/txt2img/Quantize/step": 1, "customscript/vectorstudio.py/img2img/Visual style/visible": true, "customscript/vectorstudio.py/img2img/Visual style/value": "Illustration", "customscript/vectorstudio.py/img2img/Enable Vectorizing/visible": true, "customscript/vectorstudio.py/img2img/Enable Vectorizing/value": true, "customscript/vectorstudio.py/img2img/Output format/visible": true, "customscript/vectorstudio.py/img2img/Output format/value": "svg", "customscript/vectorstudio.py/img2img/White is Opaque/visible": true, "customscript/vectorstudio.py/img2img/White is Opaque/value": true, "customscript/vectorstudio.py/img2img/Cut white margin from input/visible": true, "customscript/vectorstudio.py/img2img/Cut white margin from input/value": true, "customscript/vectorstudio.py/img2img/Keep temp images/visible": true, "customscript/vectorstudio.py/img2img/Keep temp images/value": false, "customscript/vectorstudio.py/img2img/Threshold/visible": true, "customscript/vectorstudio.py/img2img/Threshold/value": 0.5, "customscript/vectorstudio.py/img2img/Threshold/minimum": 0.0, "customscript/vectorstudio.py/img2img/Threshold/maximum": 1.0, "customscript/vectorstudio.py/img2img/Threshold/step": 0.05, "customscript/vectorstudio.py/img2img/Transparent PNG/visible": true, "customscript/vectorstudio.py/img2img/Transparent PNG/value": false, "customscript/vectorstudio.py/img2img/Noise Tolerance/visible": true, "customscript/vectorstudio.py/img2img/Noise Tolerance/value": 16, "customscript/vectorstudio.py/img2img/Noise Tolerance/minimum": 0, "customscript/vectorstudio.py/img2img/Noise Tolerance/maximum": 128, "customscript/vectorstudio.py/img2img/Noise Tolerance/step": 1, "customscript/vectorstudio.py/img2img/Quantize/visible": true, "customscript/vectorstudio.py/img2img/Quantize/value": 16, "customscript/vectorstudio.py/img2img/Quantize/minimum": 2, "customscript/vectorstudio.py/img2img/Quantize/maximum": 255, "customscript/vectorstudio.py/img2img/Quantize/step": 1, "customscript/!adetailer.py/txt2img/Enable ADetailer/visible": true, "customscript/!adetailer.py/txt2img/Enable ADetailer/value": false, "txt2img/ADetailer model/visible": true, "txt2img/ADetailer model/value": "face_yolov8n.pt", "txt2img/ad_prompt/visible": true, "txt2img/ad_prompt/value": "", "txt2img/ad_negative_prompt/visible": true, "txt2img/ad_negative_prompt/value": "", "txt2img/Detection model confidence threshold %/visible": true, "txt2img/Detection model confidence threshold %/value": 30, "txt2img/Detection model confidence threshold %/minimum": 0, "txt2img/Detection model confidence threshold %/maximum": 100, "txt2img/Detection model confidence threshold %/step": 1, "txt2img/Mask erosion (-) / dilation (+)/visible": true, "txt2img/Mask erosion (-) / dilation (+)/value": 32, "txt2img/Mask erosion (-) / dilation (+)/minimum": -128, "txt2img/Mask erosion (-) / dilation (+)/maximum": 128, "txt2img/Mask erosion (-) / dilation (+)/step": 4, "txt2img/Mask x(\u2192) offset/visible": true, "txt2img/Mask x(\u2192) offset/value": 0, "txt2img/Mask x(\u2192) offset/minimum": -200, "txt2img/Mask x(\u2192) offset/maximum": 200, "txt2img/Mask x(\u2192) offset/step": 1, "txt2img/Mask y(\u2191) offset/visible": true, "txt2img/Mask y(\u2191) offset/value": 0, "txt2img/Mask y(\u2191) offset/minimum": -200, "txt2img/Mask y(\u2191) offset/maximum": 200, "txt2img/Mask y(\u2191) offset/step": 1, "txt2img/Inpaint mask blur/visible": true, "txt2img/Inpaint mask blur/value": 4, "txt2img/Inpaint mask blur/minimum": 0, "txt2img/Inpaint mask blur/maximum": 64, "txt2img/Inpaint mask blur/step": 1, "txt2img/Inpaint denoising strength/visible": true, "txt2img/Inpaint denoising strength/value": 0.4, "txt2img/Inpaint denoising strength/minimum": 0.0, "txt2img/Inpaint denoising strength/maximum": 1.0, "txt2img/Inpaint denoising strength/step": 0.01, "txt2img/Inpaint at full resolution /visible": true, "txt2img/Inpaint at full resolution /value": true, "txt2img/Inpaint at full resolution padding, pixels /visible": true, "txt2img/Inpaint at full resolution padding, pixels /value": 0, "txt2img/Inpaint at full resolution padding, pixels /minimum": 0, "txt2img/Inpaint at full resolution padding, pixels /maximum": 256, "txt2img/Inpaint at full resolution padding, pixels /step": 4, "txt2img/Use separate width/height/visible": true, "txt2img/Use separate width/height/value": false, "txt2img/inpaint width/visible": true, "txt2img/inpaint width/value": 512, "txt2img/inpaint width/minimum": 64, "txt2img/inpaint width/maximum": 2048, "txt2img/inpaint width/step": 4, "txt2img/inpaint height/visible": true, "txt2img/inpaint height/value": 512, "txt2img/inpaint height/minimum": 64, "txt2img/inpaint height/maximum": 2048, "txt2img/inpaint height/step": 4, "txt2img/Use separate steps/visible": true, "txt2img/Use separate steps/value": false, "txt2img/ADetailer steps/visible": true, "txt2img/ADetailer steps/value": 28, "txt2img/ADetailer steps/minimum": 1, "txt2img/ADetailer steps/maximum": 150, "txt2img/ADetailer steps/step": 1, "txt2img/Use separate CFG scale/visible": true, "txt2img/Use separate CFG scale/value": false, "txt2img/ADetailer CFG scale/visible": true, "txt2img/ADetailer CFG scale/value": 7.0, "txt2img/ADetailer CFG scale/minimum": 0.0, "txt2img/ADetailer CFG scale/maximum": 30.0, "txt2img/ADetailer CFG scale/step": 0.5, "txt2img/ControlNet model/visible": true, "txt2img/ControlNet model/value": "None", "txt2img/ControlNet weight/visible": true, "txt2img/ControlNet weight/value": 1.0, "txt2img/ControlNet weight/minimum": 0.0, "txt2img/ControlNet weight/maximum": 1.0, "txt2img/ControlNet weight/step": 0.05, "txt2img/ADetailer model 2nd/visible": true, "txt2img/ADetailer model 2nd/value": "None", "txt2img/ad_prompt 2nd/visible": true, "txt2img/ad_prompt 2nd/value": "", "txt2img/ad_negative_prompt 2nd/visible": true, "txt2img/ad_negative_prompt 2nd/value": "", "txt2img/Detection model confidence threshold % 2nd/visible": true, "txt2img/Detection model confidence threshold % 2nd/value": 30, "txt2img/Detection model confidence threshold % 2nd/minimum": 0, "txt2img/Detection model confidence threshold % 2nd/maximum": 100, "txt2img/Detection model confidence threshold % 2nd/step": 1, "txt2img/Mask erosion (-) / dilation (+) 2nd/visible": true, "txt2img/Mask erosion (-) / dilation (+) 2nd/value": 32, "txt2img/Mask erosion (-) / dilation (+) 2nd/minimum": -128, "txt2img/Mask erosion (-) / dilation (+) 2nd/maximum": 128, "txt2img/Mask erosion (-) / dilation (+) 2nd/step": 4, "txt2img/Mask x(\u2192) offset 2nd/visible": true, "txt2img/Mask x(\u2192) offset 2nd/value": 0, "txt2img/Mask x(\u2192) offset 2nd/minimum": -200, "txt2img/Mask x(\u2192) offset 2nd/maximum": 200, "txt2img/Mask x(\u2192) offset 2nd/step": 1, "txt2img/Mask y(\u2191) offset 2nd/visible": true, "txt2img/Mask y(\u2191) offset 2nd/value": 0, "txt2img/Mask y(\u2191) offset 2nd/minimum": -200, "txt2img/Mask y(\u2191) offset 2nd/maximum": 200, "txt2img/Mask y(\u2191) offset 2nd/step": 1, "txt2img/Inpaint mask blur 2nd/visible": true, "txt2img/Inpaint mask blur 2nd/value": 4, "txt2img/Inpaint mask blur 2nd/minimum": 0, "txt2img/Inpaint mask blur 2nd/maximum": 64, "txt2img/Inpaint mask blur 2nd/step": 1, "txt2img/Inpaint denoising strength 2nd/visible": true, "txt2img/Inpaint denoising strength 2nd/value": 0.4, "txt2img/Inpaint denoising strength 2nd/minimum": 0.0, "txt2img/Inpaint denoising strength 2nd/maximum": 1.0, "txt2img/Inpaint denoising strength 2nd/step": 0.01, "txt2img/Inpaint at full resolution 2nd/visible": true, "txt2img/Inpaint at full resolution 2nd/value": true, "txt2img/Inpaint at full resolution padding, pixels 2nd/visible": true, "txt2img/Inpaint at full resolution padding, pixels 2nd/value": 0, "txt2img/Inpaint at full resolution padding, pixels 2nd/minimum": 0, "txt2img/Inpaint at full resolution padding, pixels 2nd/maximum": 256, "txt2img/Inpaint at full resolution padding, pixels 2nd/step": 4, "txt2img/Use separate width/height 2nd/visible": true, "txt2img/Use separate width/height 2nd/value": false, "txt2img/inpaint width 2nd/visible": true, "txt2img/inpaint width 2nd/value": 512, "txt2img/inpaint width 2nd/minimum": 64, "txt2img/inpaint width 2nd/maximum": 2048, "txt2img/inpaint width 2nd/step": 4, "txt2img/inpaint height 2nd/visible": true, "txt2img/inpaint height 2nd/value": 512, "txt2img/inpaint height 2nd/minimum": 64, "txt2img/inpaint height 2nd/maximum": 2048, "txt2img/inpaint height 2nd/step": 4, "txt2img/Use separate steps 2nd/visible": true, "txt2img/Use separate steps 2nd/value": false, "txt2img/ADetailer steps 2nd/visible": true, "txt2img/ADetailer steps 2nd/value": 28, "txt2img/ADetailer steps 2nd/minimum": 1, "txt2img/ADetailer steps 2nd/maximum": 150, "txt2img/ADetailer steps 2nd/step": 1, "txt2img/Use separate CFG scale 2nd/visible": true, "txt2img/Use separate CFG scale 2nd/value": false, "txt2img/ADetailer CFG scale 2nd/visible": true, "txt2img/ADetailer CFG scale 2nd/value": 7.0, "txt2img/ADetailer CFG scale 2nd/minimum": 0.0, "txt2img/ADetailer CFG scale 2nd/maximum": 30.0, "txt2img/ADetailer CFG scale 2nd/step": 0.5, "txt2img/ControlNet model 2nd/visible": true, "txt2img/ControlNet model 2nd/value": "None", "txt2img/ControlNet weight 2nd/visible": true, "txt2img/ControlNet weight 2nd/value": 1.0, "txt2img/ControlNet weight 2nd/minimum": 0.0, "txt2img/ControlNet weight 2nd/maximum": 1.0, "txt2img/ControlNet weight 2nd/step": 0.05, "customscript/face_editor_extension.py/txt2img/Enabled/visible": true, "customscript/face_editor_extension.py/txt2img/Enabled/value": false, "customscript/face_editor_extension.py/txt2img/Maximum number of faces to detect/visible": true, "customscript/face_editor_extension.py/txt2img/Maximum number of faces to detect/value": 20, "customscript/face_editor_extension.py/txt2img/Maximum number of faces to detect/minimum": 1, "customscript/face_editor_extension.py/txt2img/Maximum number of faces to detect/maximum": 20, "customscript/face_editor_extension.py/txt2img/Maximum number of faces to detect/step": 1, "customscript/face_editor_extension.py/txt2img/Face detection confidence/visible": true, "customscript/face_editor_extension.py/txt2img/Face detection confidence/value": 0.97, "customscript/face_editor_extension.py/txt2img/Face detection confidence/minimum": 0.7, "customscript/face_editor_extension.py/txt2img/Face detection confidence/maximum": 1.0, "customscript/face_editor_extension.py/txt2img/Face detection confidence/step": 0.01, "customscript/face_editor_extension.py/txt2img/Face margin/visible": true, "customscript/face_editor_extension.py/txt2img/Face margin/value": 1.6, "customscript/face_editor_extension.py/txt2img/Face margin/minimum": 1.0, "customscript/face_editor_extension.py/txt2img/Face margin/maximum": 2.0, "customscript/face_editor_extension.py/txt2img/Face margin/step": 0.1, "customscript/face_editor_extension.py/txt2img/Prompt for face/visible": true, "customscript/face_editor_extension.py/txt2img/Prompt for face/value": "", "customscript/face_editor_extension.py/txt2img/Denoising strength for face images/visible": true, "customscript/face_editor_extension.py/txt2img/Denoising strength for face images/value": 0.4, "customscript/face_editor_extension.py/txt2img/Denoising strength for face images/minimum": 0.1, "customscript/face_editor_extension.py/txt2img/Denoising strength for face images/maximum": 0.8, "customscript/face_editor_extension.py/txt2img/Denoising strength for face images/step": 0.05, "customscript/face_editor_extension.py/txt2img/Mask size/visible": true, "customscript/face_editor_extension.py/txt2img/Mask size/value": 0, "customscript/face_editor_extension.py/txt2img/Mask size/minimum": 0, "customscript/face_editor_extension.py/txt2img/Mask size/maximum": 64, "customscript/face_editor_extension.py/txt2img/Mask size/step": 1, "customscript/face_editor_extension.py/txt2img/Mask blur/visible": true, "customscript/face_editor_extension.py/txt2img/Mask blur/value": 0, "customscript/face_editor_extension.py/txt2img/Mask blur/minimum": 0, "customscript/face_editor_extension.py/txt2img/Mask blur/maximum": 64, "customscript/face_editor_extension.py/txt2img/Mask blur/step": 1, "customscript/face_editor_extension.py/txt2img/Denoising strength for the entire image/visible": true, "customscript/face_editor_extension.py/txt2img/Denoising strength for the entire image/value": 0.15, "customscript/face_editor_extension.py/txt2img/Denoising strength for the entire image/minimum": 0.0, "customscript/face_editor_extension.py/txt2img/Denoising strength for the entire image/maximum": 1.0, "customscript/face_editor_extension.py/txt2img/Denoising strength for the entire image/step": 0.05, "customscript/face_editor_extension.py/txt2img/Apply inside mask only/visible": true, "customscript/face_editor_extension.py/txt2img/Apply inside mask only/value": false, "customscript/face_editor_extension.py/txt2img/Save original image/visible": true, "customscript/face_editor_extension.py/txt2img/Save original image/value": false, "customscript/face_editor_extension.py/txt2img/Show intermediate steps/value": false, "customscript/face_editor_extension.py/txt2img/Apply scripts to faces/visible": true, "customscript/face_editor_extension.py/txt2img/Apply scripts to faces/value": false, "customscript/!adetailer.py/img2img/Enable ADetailer/visible": true, "customscript/!adetailer.py/img2img/Enable ADetailer/value": false, "img2img/ADetailer model/visible": true, "img2img/ADetailer model/value": "face_yolov8n.pt", "img2img/ad_prompt/visible": true, "img2img/ad_prompt/value": "", "img2img/ad_negative_prompt/visible": true, "img2img/ad_negative_prompt/value": "", "img2img/Detection model confidence threshold %/visible": true, "img2img/Detection model confidence threshold %/value": 30, "img2img/Detection model confidence threshold %/minimum": 0, "img2img/Detection model confidence threshold %/maximum": 100, "img2img/Detection model confidence threshold %/step": 1, "img2img/Mask erosion (-) / dilation (+)/visible": true, "img2img/Mask erosion (-) / dilation (+)/value": 32, "img2img/Mask erosion (-) / dilation (+)/minimum": -128, "img2img/Mask erosion (-) / dilation (+)/maximum": 128, "img2img/Mask erosion (-) / dilation (+)/step": 4, "img2img/Mask x(\u2192) offset/visible": true, "img2img/Mask x(\u2192) offset/value": 0, "img2img/Mask x(\u2192) offset/minimum": -200, "img2img/Mask x(\u2192) offset/maximum": 200, "img2img/Mask x(\u2192) offset/step": 1, "img2img/Mask y(\u2191) offset/visible": true, "img2img/Mask y(\u2191) offset/value": 0, "img2img/Mask y(\u2191) offset/minimum": -200, "img2img/Mask y(\u2191) offset/maximum": 200, "img2img/Mask y(\u2191) offset/step": 1, "img2img/Inpaint mask blur/visible": true, "img2img/Inpaint mask blur/value": 4, "img2img/Inpaint mask blur/minimum": 0, "img2img/Inpaint mask blur/maximum": 64, "img2img/Inpaint mask blur/step": 1, "img2img/Inpaint denoising strength/visible": true, "img2img/Inpaint denoising strength/value": 0.4, "img2img/Inpaint denoising strength/minimum": 0.0, "img2img/Inpaint denoising strength/maximum": 1.0, "img2img/Inpaint denoising strength/step": 0.01, "img2img/Inpaint at full resolution /visible": true, "img2img/Inpaint at full resolution /value": true, "img2img/Inpaint at full resolution padding, pixels /visible": true, "img2img/Inpaint at full resolution padding, pixels /value": 0, "img2img/Inpaint at full resolution padding, pixels /minimum": 0, "img2img/Inpaint at full resolution padding, pixels /maximum": 256, "img2img/Inpaint at full resolution padding, pixels /step": 4, "img2img/Use separate width/height/visible": true, "img2img/Use separate width/height/value": false, "img2img/inpaint width/visible": true, "img2img/inpaint width/value": 512, "img2img/inpaint width/minimum": 64, "img2img/inpaint width/maximum": 2048, "img2img/inpaint width/step": 4, "img2img/inpaint height/visible": true, "img2img/inpaint height/value": 512, "img2img/inpaint height/minimum": 64, "img2img/inpaint height/maximum": 2048, "img2img/inpaint height/step": 4, "img2img/Use separate steps/visible": true, "img2img/Use separate steps/value": false, "img2img/ADetailer steps/visible": true, "img2img/ADetailer steps/value": 28, "img2img/ADetailer steps/minimum": 1, "img2img/ADetailer steps/maximum": 150, "img2img/ADetailer steps/step": 1, "img2img/Use separate CFG scale/visible": true, "img2img/Use separate CFG scale/value": false, "img2img/ADetailer CFG scale/visible": true, "img2img/ADetailer CFG scale/value": 7.0, "img2img/ADetailer CFG scale/minimum": 0.0, "img2img/ADetailer CFG scale/maximum": 30.0, "img2img/ADetailer CFG scale/step": 0.5, "img2img/ControlNet model/visible": true, "img2img/ControlNet model/value": "None", "img2img/ControlNet weight/visible": true, "img2img/ControlNet weight/value": 1.0, "img2img/ControlNet weight/minimum": 0.0, "img2img/ControlNet weight/maximum": 1.0, "img2img/ControlNet weight/step": 0.05, "img2img/ADetailer model 2nd/visible": true, "img2img/ADetailer model 2nd/value": "None", "img2img/ad_prompt 2nd/visible": true, "img2img/ad_prompt 2nd/value": "", "img2img/ad_negative_prompt 2nd/visible": true, "img2img/ad_negative_prompt 2nd/value": "", "img2img/Detection model confidence threshold % 2nd/visible": true, "img2img/Detection model confidence threshold % 2nd/value": 30, "img2img/Detection model confidence threshold % 2nd/minimum": 0, "img2img/Detection model confidence threshold % 2nd/maximum": 100, "img2img/Detection model confidence threshold % 2nd/step": 1, "img2img/Mask erosion (-) / dilation (+) 2nd/visible": true, "img2img/Mask erosion (-) / dilation (+) 2nd/value": 32, "img2img/Mask erosion (-) / dilation (+) 2nd/minimum": -128, "img2img/Mask erosion (-) / dilation (+) 2nd/maximum": 128, "img2img/Mask erosion (-) / dilation (+) 2nd/step": 4, "img2img/Mask x(\u2192) offset 2nd/visible": true, "img2img/Mask x(\u2192) offset 2nd/value": 0, "img2img/Mask x(\u2192) offset 2nd/minimum": -200, "img2img/Mask x(\u2192) offset 2nd/maximum": 200, "img2img/Mask x(\u2192) offset 2nd/step": 1, "img2img/Mask y(\u2191) offset 2nd/visible": true, "img2img/Mask y(\u2191) offset 2nd/value": 0, "img2img/Mask y(\u2191) offset 2nd/minimum": -200, "img2img/Mask y(\u2191) offset 2nd/maximum": 200, "img2img/Mask y(\u2191) offset 2nd/step": 1, "img2img/Inpaint mask blur 2nd/visible": true, "img2img/Inpaint mask blur 2nd/value": 4, "img2img/Inpaint mask blur 2nd/minimum": 0, "img2img/Inpaint mask blur 2nd/maximum": 64, "img2img/Inpaint mask blur 2nd/step": 1, "img2img/Inpaint denoising strength 2nd/visible": true, "img2img/Inpaint denoising strength 2nd/value": 0.4, "img2img/Inpaint denoising strength 2nd/minimum": 0.0, "img2img/Inpaint denoising strength 2nd/maximum": 1.0, "img2img/Inpaint denoising strength 2nd/step": 0.01, "img2img/Inpaint at full resolution 2nd/visible": true, "img2img/Inpaint at full resolution 2nd/value": true, "img2img/Inpaint at full resolution padding, pixels 2nd/visible": true, "img2img/Inpaint at full resolution padding, pixels 2nd/value": 0, "img2img/Inpaint at full resolution padding, pixels 2nd/minimum": 0, "img2img/Inpaint at full resolution padding, pixels 2nd/maximum": 256, "img2img/Inpaint at full resolution padding, pixels 2nd/step": 4, "img2img/Use separate width/height 2nd/visible": true, "img2img/Use separate width/height 2nd/value": false, "img2img/inpaint width 2nd/visible": true, "img2img/inpaint width 2nd/value": 512, "img2img/inpaint width 2nd/minimum": 64, "img2img/inpaint width 2nd/maximum": 2048, "img2img/inpaint width 2nd/step": 4, "img2img/inpaint height 2nd/visible": true, "img2img/inpaint height 2nd/value": 512, "img2img/inpaint height 2nd/minimum": 64, "img2img/inpaint height 2nd/maximum": 2048, "img2img/inpaint height 2nd/step": 4, "img2img/Use separate steps 2nd/visible": true, "img2img/Use separate steps 2nd/value": false, "img2img/ADetailer steps 2nd/visible": true, "img2img/ADetailer steps 2nd/value": 28, "img2img/ADetailer steps 2nd/minimum": 1, "img2img/ADetailer steps 2nd/maximum": 150, "img2img/ADetailer steps 2nd/step": 1, "img2img/Use separate CFG scale 2nd/visible": true, "img2img/Use separate CFG scale 2nd/value": false, "img2img/ADetailer CFG scale 2nd/visible": true, "img2img/ADetailer CFG scale 2nd/value": 7.0, "img2img/ADetailer CFG scale 2nd/minimum": 0.0, "img2img/ADetailer CFG scale 2nd/maximum": 30.0, "img2img/ADetailer CFG scale 2nd/step": 0.5, "img2img/ControlNet model 2nd/visible": true, "img2img/ControlNet model 2nd/value": "None", "img2img/ControlNet weight 2nd/visible": true, "img2img/ControlNet weight 2nd/value": 1.0, "img2img/ControlNet weight 2nd/minimum": 0.0, "img2img/ControlNet weight 2nd/maximum": 1.0, "img2img/ControlNet weight 2nd/step": 0.05, "customscript/face_editor_extension.py/img2img/Enabled/visible": true, "customscript/face_editor_extension.py/img2img/Enabled/value": false, "customscript/face_editor_extension.py/img2img/Maximum number of faces to detect/visible": true, "customscript/face_editor_extension.py/img2img/Maximum number of faces to detect/value": 20, "customscript/face_editor_extension.py/img2img/Maximum number of faces to detect/minimum": 1, "customscript/face_editor_extension.py/img2img/Maximum number of faces to detect/maximum": 20, "customscript/face_editor_extension.py/img2img/Maximum number of faces to detect/step": 1, "customscript/face_editor_extension.py/img2img/Face detection confidence/visible": true, "customscript/face_editor_extension.py/img2img/Face detection confidence/value": 0.97, "customscript/face_editor_extension.py/img2img/Face detection confidence/minimum": 0.7, "customscript/face_editor_extension.py/img2img/Face detection confidence/maximum": 1.0, "customscript/face_editor_extension.py/img2img/Face detection confidence/step": 0.01, "customscript/face_editor_extension.py/img2img/Face margin/visible": true, "customscript/face_editor_extension.py/img2img/Face margin/value": 1.6, "customscript/face_editor_extension.py/img2img/Face margin/minimum": 1.0, "customscript/face_editor_extension.py/img2img/Face margin/maximum": 2.0, "customscript/face_editor_extension.py/img2img/Face margin/step": 0.1, "customscript/face_editor_extension.py/img2img/Prompt for face/visible": true, "customscript/face_editor_extension.py/img2img/Prompt for face/value": "", "customscript/face_editor_extension.py/img2img/Denoising strength for face images/visible": true, "customscript/face_editor_extension.py/img2img/Denoising strength for face images/value": 0.4, "customscript/face_editor_extension.py/img2img/Denoising strength for face images/minimum": 0.1, "customscript/face_editor_extension.py/img2img/Denoising strength for face images/maximum": 0.8, "customscript/face_editor_extension.py/img2img/Denoising strength for face images/step": 0.05, "customscript/face_editor_extension.py/img2img/Mask size/visible": true, "customscript/face_editor_extension.py/img2img/Mask size/value": 0, "customscript/face_editor_extension.py/img2img/Mask size/minimum": 0, "customscript/face_editor_extension.py/img2img/Mask size/maximum": 64, "customscript/face_editor_extension.py/img2img/Mask size/step": 1, "customscript/face_editor_extension.py/img2img/Mask blur/visible": true, "customscript/face_editor_extension.py/img2img/Mask blur/value": 0, "customscript/face_editor_extension.py/img2img/Mask blur/minimum": 0, "customscript/face_editor_extension.py/img2img/Mask blur/maximum": 64, "customscript/face_editor_extension.py/img2img/Mask blur/step": 1, "customscript/face_editor_extension.py/img2img/Denoising strength for the entire image/visible": true, "customscript/face_editor_extension.py/img2img/Denoising strength for the entire image/value": 0.15, "customscript/face_editor_extension.py/img2img/Denoising strength for the entire image/minimum": 0.0, "customscript/face_editor_extension.py/img2img/Denoising strength for the entire image/maximum": 1.0, "customscript/face_editor_extension.py/img2img/Denoising strength for the entire image/step": 0.05, "customscript/face_editor_extension.py/img2img/Apply inside mask only/visible": true, "customscript/face_editor_extension.py/img2img/Apply inside mask only/value": false, "customscript/face_editor_extension.py/img2img/Save original image/visible": true, "customscript/face_editor_extension.py/img2img/Save original image/value": false, "customscript/face_editor_extension.py/img2img/Show intermediate steps/visible": true, "customscript/face_editor_extension.py/img2img/Show intermediate steps/value": false, "customscript/face_editor_extension.py/img2img/Apply scripts to faces/visible": true, "customscript/face_editor_extension.py/img2img/Apply scripts to faces/value": false, "customscript/face_editor.py/img2img/Save original image/visible": true, "customscript/face_editor_extension.py/txt2img/Denoising strength for the entire image /visible": true, "customscript/face_editor_extension.py/txt2img/Denoising strength for the entire image /value": 0.0, "customscript/face_editor_extension.py/txt2img/Denoising strength for the entire image /minimum": 0.0, "customscript/face_editor_extension.py/txt2img/Denoising strength for the entire image /maximum": 1.0, "customscript/face_editor_extension.py/txt2img/Denoising strength for the entire image /step": 0.05, "customscript/face_editor_extension.py/txt2img/Apply inside mask only /visible": true, "customscript/face_editor_extension.py/txt2img/Apply inside mask only /value": true, "customscript/face_editor.py/txt2img/Denoising strength for the entire image /visible": true, "customscript/face_editor.py/txt2img/Denoising strength for the entire image /value": 0.0, "customscript/face_editor.py/txt2img/Denoising strength for the entire image /minimum": 0.0, "customscript/face_editor.py/txt2img/Denoising strength for the entire image /maximum": 1.0, "customscript/face_editor.py/txt2img/Denoising strength for the entire image /step": 0.05, "customscript/face_editor.py/txt2img/Apply inside mask only /visible": true, "customscript/face_editor.py/txt2img/Apply inside mask only /value": true, "customscript/face_editor_extension.py/img2img/Denoising strength for the entire image /visible": true, "customscript/face_editor_extension.py/img2img/Denoising strength for the entire image /value": 0.0, "customscript/face_editor_extension.py/img2img/Denoising strength for the entire image /minimum": 0.0, "customscript/face_editor_extension.py/img2img/Denoising strength for the entire image /maximum": 1.0, "customscript/face_editor_extension.py/img2img/Denoising strength for the entire image /step": 0.05, "customscript/face_editor_extension.py/img2img/Apply inside mask only /visible": true, "customscript/face_editor_extension.py/img2img/Apply inside mask only /value": true, "customscript/face_editor.py/img2img/Denoising strength for the entire image /visible": true, "customscript/face_editor.py/img2img/Denoising strength for the entire image /value": 0.0, "customscript/face_editor.py/img2img/Denoising strength for the entire image /minimum": 0.0, "customscript/face_editor.py/img2img/Denoising strength for the entire image /maximum": 1.0, "customscript/face_editor.py/img2img/Denoising strength for the entire image /step": 0.05, "customscript/face_editor.py/img2img/Apply inside mask only /visible": true, "customscript/face_editor.py/img2img/Apply inside mask only /value": true, "customscript/face_editor_extension.py/txt2img/Show intermediate steps/visible": true, "customscript/face_editor.py/txt2img/Show intermediate steps/visible": true, "txt2img/Mask min area ratio/visible": true, "txt2img/Mask min area ratio/value": 0.0, "txt2img/Mask min area ratio/minimum": 0.0, "txt2img/Mask min area ratio/maximum": 1.0, "txt2img/Mask min area ratio/step": 0.001, "txt2img/Mask max area ratio/visible": true, "txt2img/Mask max area ratio/value": 1.0, "txt2img/Mask max area ratio/minimum": 0.0, "txt2img/Mask max area ratio/maximum": 1.0, "txt2img/Mask max area ratio/step": 0.001, "txt2img/Mask merge mode/visible": true, "txt2img/Mask merge mode/value": "None", "txt2img/Restore faces after ADetailer/visible": true, "txt2img/Restore faces after ADetailer/value": false, "txt2img/Mask min area ratio 2nd/visible": true, "txt2img/Mask min area ratio 2nd/value": 0.0, "txt2img/Mask min area ratio 2nd/minimum": 0.0, "txt2img/Mask min area ratio 2nd/maximum": 1.0, "txt2img/Mask min area ratio 2nd/step": 0.001, "txt2img/Mask max area ratio 2nd/visible": true, "txt2img/Mask max area ratio 2nd/value": 1.0, "txt2img/Mask max area ratio 2nd/minimum": 0.0, "txt2img/Mask max area ratio 2nd/maximum": 1.0, "txt2img/Mask max area ratio 2nd/step": 0.001, "txt2img/Mask merge mode 2nd/visible": true, "txt2img/Mask merge mode 2nd/value": "None", "txt2img/Restore faces after ADetailer 2nd/visible": true, "txt2img/Restore faces after ADetailer 2nd/value": false, "img2img/Mask min area ratio/visible": true, "img2img/Mask min area ratio/value": 0.0, "img2img/Mask min area ratio/minimum": 0.0, "img2img/Mask min area ratio/maximum": 1.0, "img2img/Mask min area ratio/step": 0.001, "img2img/Mask max area ratio/visible": true, "img2img/Mask max area ratio/value": 1.0, "img2img/Mask max area ratio/minimum": 0.0, "img2img/Mask max area ratio/maximum": 1.0, "img2img/Mask max area ratio/step": 0.001, "img2img/Mask merge mode/visible": true, "img2img/Mask merge mode/value": "None", "img2img/Restore faces after ADetailer/visible": true, "img2img/Restore faces after ADetailer/value": false, "img2img/Mask min area ratio 2nd/visible": true, "img2img/Mask min area ratio 2nd/value": 0.0, "img2img/Mask min area ratio 2nd/minimum": 0.0, "img2img/Mask min area ratio 2nd/maximum": 1.0, "img2img/Mask min area ratio 2nd/step": 0.001, "img2img/Mask max area ratio 2nd/visible": true, "img2img/Mask max area ratio 2nd/value": 1.0, "img2img/Mask max area ratio 2nd/minimum": 0.0, "img2img/Mask max area ratio 2nd/maximum": 1.0, "img2img/Mask max area ratio 2nd/step": 0.001, "img2img/Mask merge mode 2nd/visible": true, "img2img/Mask merge mode 2nd/value": "None", "img2img/Restore faces after ADetailer 2nd/visible": true, "img2img/Restore faces after ADetailer 2nd/value": false }

Log: Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)] Commit hash: 5ab7f213bec2f816f9c5644becb32eb72c8ffb89 Installing requirements

Error running install.py for extension D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui. Command: "D:\StableDiffusion\sd-webui-aki-v4\py310\python.exe" "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\install.py" Error code: 1 stdout: Installing re-install einops

stderr: Traceback (most recent call last):

File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\install.py", line 9, in

launch.run_pip(f"uninstall einops", "re-install einops")

File "D:\StableDiffusion\sd-webui-aki-v4\launch.py", line 128, in run_pip

return run(f'"{python}" -m pip {command} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}", live=live)

File "D:\StableDiffusion\sd-webui-aki-v4\launch.py", line 96, in run

raise RuntimeError(message)

RuntimeError: Couldn't install re-install einops.

Command: "D:\StableDiffusion\sd-webui-aki-v4\py310\python.exe" -m pip uninstall einops --prefer-binary

Error code: 2

stdout:

stderr:

Usage:

D:\StableDiffusion\sd-webui-aki-v4\py310\python.exe -m pip uninstall [options] ...

D:\StableDiffusion\sd-webui-aki-v4\py310\python.exe -m pip uninstall [options] -r ...

no such option: --prefer-binary

pixink console installed! Love from https://pix.ink by LianZhou

Launching Web UI with arguments: --theme light --xformers --disable-nan-check --api --autolaunch AUTOMATIC1111/stable-diffusion-webui packed by bilibili@秋葉aaaki 本整合包完全免费,严禁倒卖。若您付费获得本软件请立刻举报商家。 Error loading script: mld_main.py Traceback (most recent call last): File "D:\StableDiffusion\sd-webui-aki-v4\modules\scripts.py", line 256, in load_scripts script_module = script_loading.load_module(scriptfile.path) File "D:\StableDiffusion\sd-webui-aki-v4\modules\script_loading.py", line 11, in load_module module_spec.loader.exec_module(module) File "", line 883, in exec_module File "", line 241, in _call_with_frames_removed File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\scripts\mld_main.py", line 3, in from mldanbooru.interface import Infer File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru__init.py", line 1, in from .utils import create_model File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru\utils__init.py", line 1, in from .factory import create_model File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru\utils\factory.py", line 3, in from ..caformer import build_caformer File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru\caformer\init__.py", line 1, in from .ml_caformer import build_caformer File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru\caformer\ml_caformer.py", line 8, in from .metaformer_baselines import MetaFormer File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru\caformer\metaformer_baselines.py", line 28, in from einops import rearrange, einsum ImportError: cannot import name 'einsum' from 'einops' (D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\einops\init__.py)

Civitai Helper: Get Custom Model Folder Civitai Helper: Load setting from: D:\StableDiffusion\sd-webui-aki-v4\extensions\Stable-Diffusion-Webui-Civitai-Helper\setting.json Civitai Helper: Set Proxy: http://127.0.0.1:7890 Additional Network extension not installed, Only hijack built-in lora LoCon Extension hijack built-in lora successfully [-] ADetailer initialized. version: 23.5.17, num models: 7 logs_location: D:\StableDiffusion\sd-webui-aki-v4\extensions\miaoshouai-assistant\logs *** WARNING: Something went wrong when updating to the latest dynamicprompts version. Please install it manually by running the following command: D:\StableDiffusion\sd-webui-aki-v4\py310\python.exe -m pip install dynamicprompts==0.25.2

[AddNet] Updating model hashes...

[AddNet] Updating model hashes...

ControlNet v1.1.190 ControlNet v1.1.190 sd-webui-prompt-all-in-one background API service started successfully. Loading weights [2d0010aca5] from D:\StableDiffusion\sd-webui-aki-v4\models\Stable-diffusion\2.5D\darkSushi25D25D_v20.safetensors Creating model from config: D:\StableDiffusion\sd-webui-aki-v4\configs\v1-inference.yaml LatentDiffusion: Running in eps-prediction mode DiffusionWrapper has 859.52 M params. Loading VAE weights specified in settings: D:\StableDiffusion\sd-webui-aki-v4\models\VAE\blessed2.vae.pt Applying xformers cross attention optimization. Textual inversion embeddings loaded(13): bad-artist, bad-artist-anime, bad-hands-5, bad-image-v2-39000, bad-picture-chill-75v, bad_prompt_version2, darkskin_style, EasyNegativeV2, n3tst0, ng_deepnegative_v1_75t, pureerosface_v1, ulzzang-6500-v1.1, verybadimagenegative_v1.3 Model loaded in 7.3s (load weights from disk: 0.2s, create model: 0.6s, apply weights to model: 2.5s, apply half(): 1.1s, load VAE: 0.4s, move model to device: 0.5s, load textual inversion embeddings: 1.9s). Create LRU cache (max_size=16) for preprocessor results. Create LRU cache (max_size=16) for preprocessor results. CozyNest: Image browser is disabled. To enable it, go to the CozyNest settings. Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch(). Create LRU cache (max_size=16) for preprocessor results. Startup time: 47.0s (import torch: 9.8s, import gradio: 1.3s, import ldm: 1.2s, other imports: 1.8s, load scripts: 6.7s, load SD checkpoint: 7.5s, opts onchange: 0.8s, create ui: 15.5s, gradio launch: 1.5s, scripts app_started_callback: 0.7s). Closing server running on port: 7860 Restarting UI... Error loading script: mld_main.py Traceback (most recent call last): File "D:\StableDiffusion\sd-webui-aki-v4\modules\scripts.py", line 256, in load_scripts script_module = script_loading.load_module(scriptfile.path) File "D:\StableDiffusion\sd-webui-aki-v4\modules\script_loading.py", line 11, in load_module module_spec.loader.exec_module(module) File "", line 883, in exec_module File "", line 241, in _call_with_frames_removed File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\scripts\mld_main.py", line 3, in from mldanbooru.interface import Infer File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru__init.py", line 1, in from .utils import create_model File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru\utils__init.py", line 1, in from .factory import create_model File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru\utils\factory.py", line 3, in from ..caformer import build_caformer File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru\caformer\init__.py", line 1, in from .ml_caformer import build_caformer File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru\caformer\ml_caformer.py", line 8, in from .metaformer_baselines import MetaFormer File "D:\StableDiffusion\sd-webui-aki-v4\extensions\ML-Danbooru-webui\mldanbooru\caformer\metaformer_baselines.py", line 28, in from einops import rearrange, einsum ImportError: cannot import name 'einsum' from 'einops' (D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\einops\init__.py)

Civitai Helper: Get Custom Model Folder Civitai Helper: Load setting from: D:\StableDiffusion\sd-webui-aki-v4\extensions\Stable-Diffusion-Webui-Civitai-Helper\setting.json Civitai Helper: Set Proxy: http://127.0.0.1:7890 Additional Network extension not installed, Only hijack built-in lora LoCon Extension hijack built-in lora successfully [-] ADetailer initialized. version: 23.5.17, num models: 7 [AddNet] Updating model hashes...

ControlNet v1.1.190 sd-webui-prompt-all-in-one background API service started successfully. Create LRU cache (max_size=16) for preprocessor results. Create LRU cache (max_size=16) for preprocessor results. Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch(). Create LRU cache (max_size=16) for preprocessor results. Startup time: 26.4s (load scripts: 3.9s, list SD models: 0.1s, create ui: 20.9s, gradio launch: 1.1s, scripts app_started_callback: 0.2s). Civitai Helper: Start scan_model Civitai Helper: Scanning path: D:\StableDiffusion\sd-webui-aki-v4\embeddings Civitai Helper: Checking preview image for model: D:\StableDiffusion\sd-webui-aki-v4\embeddings\bad-hands-5.pt Civitai Helper: Checking preview image for model: D:\StableDiffusion\sd-webui-aki-v4\embeddings\bad-image-v2-39000.pt Civitai Helper: Model Info is empty Civitai Helper: Checking preview image for model: D:\StableDiffusion\sd-webui-aki-v4\embeddings\bad_prompt_version2.pt Civitai Helper: Model Info is empty Civitai Helper: Checking preview image for model: D:\StableDiffusion\sd-webui-aki-v4\embeddings\EasyNegativeV2.safetensors Civitai Helper: Model Info is empty Civitai Helper: Scanning path: D:\StableDiffusion\sd-webui-aki-v4\models\hypernetworks Civitai Helper: Scanning path: D:\StableDiffusion\sd-webui-aki-v4\models\Stable-diffusion Civitai Helper: Checking preview image for model: D:\StableDiffusion\sd-webui-aki-v4\models\Stable-diffusion\Anime\dalcefo_painting_v5.safetensors Civitai Helper: Model Info is empty Civitai Helper: Checking preview image for model: D:\StableDiffusion\sd-webui-aki-v4\models\Stable-diffusion\Anime\dalcefo_v5.safetensors Civitai Helper: Model Info is empty Civitai Helper: Checking preview image for model: D:\StableDiffusion\sd-webui-aki-v4\models\Stable-diffusion\Realistic\dalcefo_realistic_tally_v3.ckpt Civitai Helper: Model Info is empty Civitai Helper: Scanning path: D:\StableDiffusion\sd-webui-aki-v4\models\Lora Civitai Helper: Checking preview image for model: D:\StableDiffusion\sd-webui-aki-v4\models\Lora\Character\AngelMS.safetensors Civitai Helper: Model Info is empty Civitai Helper: Checking preview image for model: D:\StableDiffusion\sd-webui-aki-v4\models\Lora\Character\swordmaidenGoblin_10.safetensors Civitai Helper: Model Info is empty Civitai Helper: Checking preview image for model: D:\StableDiffusion\sd-webui-aki-v4\models\Lora\Character\tifaMeenow_tifaV2.safetensors Civitai Helper: Done. Scanned 200 models, checked 200 images Loading weights [4199bcdd14] from D:\StableDiffusion\sd-webui-aki-v4\models\Stable-diffusion\Universal\revAnimated_v122.safetensors API error: POST: http://127.0.0.1:7860/physton_prompt/token_counter {'error': 'AttributeError', 'detail': '', 'body': '', 'errors': "'NoneType' object has no attribute 'process_texts'"} Traceback (most recent call last): File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\anyio\streams\memory.py", line 94, in receive return self.receive_nowait() File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\anyio\streams\memory.py", line 89, in receive_nowait raise WouldBlock anyio.WouldBlock

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\middleware\base.py", line 78, in call_next message = await recv_stream.receive() File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\anyio\streams\memory.py", line 114, in receive raise EndOfStream anyio.EndOfStream

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "D:\StableDiffusion\sd-webui-aki-v4\modules\api\api.py", line 144, in exception_handling return await call_next(request) File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\middleware\base.py", line 84, in call_next raise app_exc File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\middleware\base.py", line 70, in coro await self.app(scope, receive_or_disconnect, send_no_error) File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\middleware\base.py", line 108, in call response = await self.dispatch_func(request, call_next) File "D:\StableDiffusion\sd-webui-aki-v4\modules\api\api.py", line 109, in log_and_time res: Response = await call_next(req) File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\middleware\base.py", line 84, in call_next raise app_exc File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\middleware\base.py", line 70, in coro await self.app(scope, receive_or_disconnect, send_no_error) File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\middleware\gzip.py", line 24, in call await responder(scope, receive, send) File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\middleware\gzip.py", line 44, in call await self.app(scope, receive, self.send_with_gzip) File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\middleware\exceptions.py", line 79, in call raise exc File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\middleware\exceptions.py", line 68, in call await self.app(scope, receive, sender) File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 21, in call raise e File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 18, in call await self.app(scope, receive, send) File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\routing.py", line 718, in call await route.handle(scope, receive, send) File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\routing.py", line 276, in handle await self.app(scope, receive, send) File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\starlette\routing.py", line 66, in app response = await func(request) File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\fastapi\routing.py", line 237, in app raw_response = await run_endpoint_function( File "D:\StableDiffusion\sd-webui-aki-v4\py310\lib\site-packages\fastapi\routing.py", line 163, in run_endpoint_function return await dependant.call(*values) File "D:\StableDiffusion\sd-webui-aki-v4\extensions\sd-webui-prompt-all-in-one\scripts\on_app_started.py", line 43, in _token_counter return get_token_counter(data['text'], data['steps']) File "D:\StableDiffusion\sd-webui-aki-v4\extensions\sd-webui-prompt-all-in-one\scripts\get_token_counter.py", line 20, in get_token_counter token_count, max_length = max([model_hijack.get_prompt_lengths(prompt) for prompt in prompts], key=lambda args: args[0]) File "D:\StableDiffusion\sd-webui-aki-v4\extensions\sd-webui-prompt-all-in-one\scripts\get_token_counter.py", line 20, in token_count, max_length = max([model_hijack.get_prompt_lengths(prompt) for prompt in prompts], key=lambda args: args[0]) File "D:\StableDiffusion\sd-webui-aki-v4\modules\sd_hijack.py", line 219, in get_promptlengths , token_count = self.clip.process_texts([text]) AttributeError: 'NoneType' object has no attribute 'process_texts' Loading VAE weights specified in settings: D:\StableDiffusion\sd-webui-aki-v4\models\VAE\blessed2.vae.pt Applying xformers cross attention optimization. Weights loaded in 10.1s (load weights from disk: 0.4s, apply weights to model: 7.1s, load VAE: 0.8s, hijack: 0.1s, move model to device: 1.6s). Error running process: D:\StableDiffusion\sd-webui-aki-v4\extensions\sd-dynamic-prompts\scripts\dynamic_prompting.py Traceback (most recent call last): File "D:\StableDiffusion\sd-webui-aki-v4\modules\scripts.py", line 417, in process script.process(p, script_args) File "D:\StableDiffusion\sd-webui-aki-v4\extensions\sd-dynamic-prompts\sd_dynamic_prompts\dynamic_prompting.py", line 440, in process all_prompts, all_negative_prompts = generate_prompts( File "D:\StableDiffusion\sd-webui-aki-v4\extensions\sd-dynamic-prompts\sd_dynamic_prompts\helpers.py", line 93, in generate_prompts all_prompts = prompt_generator.generate(prompt, num_prompts, seeds=seeds) or [""] TypeError: RandomPromptGenerator.generate() got an unexpected keyword argument 'seeds'

Error running process: D:\StableDiffusion\sd-webui-aki-v4\extensions\sd-dynamic-prompts\scripts\dynamic_prompting.py Traceback (most recent call last): File "D:\StableDiffusion\sd-webui-aki-v4\modules\scripts.py", line 417, in process script.process(p, *script_args) File "D:\StableDiffusion\sd-webui-aki-v4\extensions\sd-dynamic-prompts\sd_dynamic_prompts\dynamic_prompting.py", line 440, in process all_prompts, all_negative_prompts = generate_prompts( File "D:\StableDiffusion\sd-webui-aki-v4\extensions\sd-dynamic-prompts\sd_dynamic_prompts\helpers.py", line 93, in generate_prompts all_prompts = prompt_generator.generate(prompt, num_prompts, seeds=seeds) or [""] TypeError: RandomPromptGenerator.generate() got an unexpected keyword argument 'seeds'

CyberLykan commented 1 year ago

The issue is that with the latest update, re-install is not a valid pip command. It should be install. I made a comment on commit https://github.com/7eu7d7/ML-Danbooru-webui/commit/7c01c88867e50c409b43a7f418fc0ffd674f9b43.

jackw111 commented 1 year ago

删除后重新安装,依然报错 image

IrisRainbowNeko commented 1 year ago

删除后重新安装,依然报错 image

把WebUI的requirements_versions.txt文件里面的einops==0.4.1替换为einops>=0.6.0

IrisRainbowNeko commented 1 year ago

由于einops的版本和WebUI给定的版本冲突,所以需要把WebUI的requirements_versions.txt文件里面的einops==0.4.1替换为einops>=0.6.0。替换之后就可以解决问题了,新版本einops对WebUI的其他功能也都正常。

jackw111 commented 1 year ago

好的,谢谢