davecazz
commented
8 months ago just tried 1.6 and similar issue. this exact issue happened on 1.7 with default command line args after fresh install
`PS E:\git\fuck-sd> .\venv\Scripts\Activate.ps1 (venv) PS E:\git\fuck-sd> .\webui-user.bat venv "E:\git\fuck-sd\venv\Scripts\Python.exe" Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] Version: v1.6.1 Commit hash: 4afaaf8a020c1df457bcf7250cb1c7f609699fa7 Installing torch and torchvision Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu118 Collecting torch==2.0.1 Using cached https://download.pytorch.org/whl/cu118/torch-2.0.1%2Bcu118-cp310-cp310-win_amd64.whl (2619.1 MB) Collecting torchvision==0.15.2 Using cached https://download.pytorch.org/whl/cu118/torchvision-0.15.2%2Bcu118-cp310-cp310-win_amd64.whl (4.9 MB) Collecting sympy Using cached https://download.pytorch.org/whl/sympy-1.12-py3-none-any.whl (5.7 MB) Collecting jinja2 Using cached https://download.pytorch.org/whl/Jinja2-3.1.2-py3-none-any.whl (133 kB) Collecting filelock Using cached filelock-3.13.1-py3-none-any.whl (11 kB) Collecting typing-extensions Using cached typing_extensions-4.9.0-py3-none-any.whl (32 kB) Collecting networkx Using cached networkx-3.2.1-py3-none-any.whl (1.6 MB) Collecting requests Using cached requests-2.31.0-py3-none-any.whl (62 kB) Collecting numpy Using cached numpy-1.26.2-cp310-cp310-win_amd64.whl (15.8 MB) Collecting pillow!=8.3.*,>=5.3.0 Using cached Pillow-10.1.0-cp310-cp310-win_amd64.whl (2.6 MB) Collecting MarkupSafe>=2.0 Using cached https://download.pytorch.org/whl/MarkupSafe-2.1.3-cp310-cp310-win_amd64.whl (17 kB) Collecting idna<4,>=2.5 Using cached idna-3.6-py3-none-any.whl (61 kB) Collecting certifi>=2017.4.17 Using cached certifi-2023.11.17-py3-none-any.whl (162 kB) Collecting urllib3<3,>=1.21.1 Using cached urllib3-2.1.0-py3-none-any.whl (104 kB) Collecting charset-normalizer<4,>=2 Using cached charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl (100 kB) Collecting mpmath>=0.19 Using cached https://download.pytorch.org/whl/mpmath-1.3.0-py3-none-any.whl (536 kB) Installing collected packages: mpmath, urllib3, typing-extensions, sympy, pillow, numpy, networkx, MarkupSafe, idna, filelock, charset-normalizer, certifi, requests, jinja2, torch, torchvision Successfully installed MarkupSafe-2.1.3 certifi-2023.11.17 charset-normalizer-3.3.2 filelock-3.13.1 idna-3.6 jinja2-3.1.2 mpmath-1.3.0 networkx-3.2.1 numpy-1.26.2 pillow-10.1.0 requests-2.31.0 sympy-1.12 torch-2.0.1+cu118 torchvision-0.15.2+cu118 typing-extensions-4.9.0 urllib3-2.1.0
[notice] A new release of pip available: 22.2.1 -> 23.3.2 [notice] To update, run: python.exe -m pip install --upgrade pip Installing clip Installing open_clip Cloning Stable Diffusion into E:\git\fuck-sd\repositories\stable-diffusion-stability-ai... Cloning into 'E:\git\fuck-sd\repositories\stable-diffusion-stability-ai'... remote: Enumerating objects: 580, done. remote: Counting objects: 100% (310/310), done. remote: Compressing objects: 100% (94/94), done. remote: Total 580 (delta 248), reused 216 (delta 216), pack-reused 270 Receiving objects: 100% (580/580), 73.43 MiB | 33.08 MiB/s, done. Resolving deltas: 100% (280/280), done. Cloning Stable Diffusion XL into E:\git\fuck-sd\repositories\generative-models... Cloning into 'E:\git\fuck-sd\repositories\generative-models'... remote: Enumerating objects: 860, done. remote: Counting objects: 100% (513/513), done. remote: Compressing objects: 100% (244/244), done. remote: Total 860 (delta 365), reused 308 (delta 265), pack-reused 347Receiving objects: 99% (852/860), 33.84 MiB | 33.28 MiB/s Receiving objects: 100% (860/860), 42.67 MiB | 33.56 MiB/s, done. Resolving deltas: 100% (436/436), done. Cloning K-diffusion into E:\git\fuck-sd\repositories\k-diffusion... Cloning into 'E:\git\fuck-sd\repositories\k-diffusion'... remote: Enumerating objects: 1329, done. remote: Counting objects: 100% (727/727), done. remote: Compressing objects: 100% (86/86), done. Receiving objects: 100% (1329/1329), 232.86 KiB | 3.95 MiB/s, done. 602
Resolving deltas: 100% (933/933), done. Cloning CodeFormer into E:\git\fuck-sd\repositories\CodeFormer... Cloning into 'E:\git\fuck-sd\repositories\CodeFormer'... remote: Enumerating objects: 594, done. remote: Counting objects: 100% (245/245), done. remote: Compressing objects: 100% (88/88), done. remote: Total 594 (delta 175), reused 173 (delta 157), pack-reused 349 Receiving objects: 100% (594/594), 17.31 MiB | 31.25 MiB/s, done. Resolving deltas: 100% (286/286), done. Cloning BLIP into E:\git\fuck-sd\repositories\BLIP... Cloning into 'E:\git\fuck-sd\repositories\BLIP'... remote: Enumerating objects: 277, done. remote: Counting objects: 100% (165/165), done. remote: Compressing objects: 100% (30/30), done.
Receiving objects: 100% (277/277), 7.03 MiB | 26.48 MiB/s, done. Resolving deltas: 100% (152/152), done. Installing requirements for CodeFormer Installing requirements Launching Web UI with arguments: no module 'xformers'. Processing without... no module 'xformers'. Processing without... No module 'xformers'. Proceeding without it. Downloading: "https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors" to E:\git\fuck-sd\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3.97G/3.97G [00:26<00:00, 159MB/s] Calculating sha256 for E:\git\fuck-sd\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors: Running on local URL: http://127.0.0.1:7860
To create a public link, set share=True in launch().
Startup time: 425.6s (prepare environment: 365.5s, launcher: 0.1s, import torch: 5.6s, import gradio: 3.0s, setup paths: 4.3s, initialize shared: 1.1s, other imports: 3.5s, setup codeformer: 0.3s, list SD models: 27.9s, load scripts: 13.3s, create ui: 0.6s, gradio launch: 0.2s).
6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa
Loading weights [6ce0161689] from E:\git\fuck-sd\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
Creating model from config: E:\git\fuck-sd\configs\v1-inference.yaml
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
File "C:\Users\dave.pyenv\pyenv-win\versions\3.10.6\lib\threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "C:\Users\dave.pyenv\pyenv-win\versions\3.10.6\lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "C:\Users\dave.pyenv\pyenv-win\versions\3.10.6\lib\threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "E:\git\fuck-sd\modules\initialize.py", line 147, in load_model
shared.sd_model # noqa: B018
File "E:\git\fuck-sd\modules\shared_items.py", line 110, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "E:\git\fuck-sd\modules\sd_models.py", line 499, in get_sd_model
load_model()
File "E:\git\fuck-sd\modules\sd_models.py", line 626, in load_model
load_model_weights(sd_model, checkpoint_info, state_dict, timer)
File "E:\git\fuck-sd\modules\sd_models.py", line 404, in load_model_weights
model.logvar = model.logvar.to(devices.device) # fix for training
RuntimeError: CUDA error: the launch timed out and was terminated
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
Stable diffusion model failed to load
Applying attention optimization: Doggettx... done.
Loading weights [6ce0161689] from E:\git\fuck-sd\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
Exception in thread Thread-27 (load_model):
Traceback (most recent call last):
File "C:\Users\dave.pyenv\pyenv-win\versions\3.10.6\lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "C:\Users\dave.pyenv\pyenv-win\versions\3.10.6\lib\threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "E:\git\fuck-sd\modules\initialize.py", line 153, in load_model
devices.first_time_calculation()
File "E:\git\fuck-sd\modules\devices.py", line 146, in first_time_calculation
x = torch.zeros((1, 1)).to(device, dtype)
RuntimeError: CUDA error: the launch timed out and was terminated
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
Creating model from config: E:\git\fuck-sd\configs\v1-inference.yaml
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
File "C:\Users\dave.pyenv\pyenv-win\versions\3.10.6\lib\threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "C:\Users\dave.pyenv\pyenv-win\versions\3.10.6\lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "E:\git\fuck-sd\venv\lib\site-packages\anyio_backends_asyncio.py", line 807, in run
result = context.run(func, args)
File "E:\git\fuck-sd\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper
response = f(args, kwargs)
File "E:\git\fuck-sd\modules\ui_extra_networks.py", line 392, in pages_html
return refresh()
File "E:\git\fuck-sd\modules\ui_extra_networks.py", line 398, in refresh
pg.refresh()
File "E:\git\fuck-sd\modules\ui_extra_networks_textual_inversion.py", line 13, in refresh
sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings(force_reload=True)
File "E:\git\fuck-sd\modules\textual_inversion\textual_inversion.py", line 255, in load_textual_inversion_embeddings
self.expected_shape = self.get_expected_shape()
File "E:\git\fuck-sd\modules\textual_inversion\textual_inversion.py", line 154, in get_expected_shape
vec = shared.sd_model.cond_stage_model.encode_embedding_init_text(",", 1)
File "E:\git\fuck-sd\modules\shared_items.py", line 110, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "E:\git\fuck-sd\modules\sd_models.py", line 499, in get_sd_model
load_model()
File "E:\git\fuck-sd\modules\sd_models.py", line 626, in load_model
load_model_weights(sd_model, checkpoint_info, state_dict, timer)
File "E:\git\fuck-sd\modules\sd_models.py", line 353, in load_model_weights
model.load_state_dict(state_dict, strict=False)
File "E:\git\fuck-sd\modules\sd_disable_initialization.py", line 223, in TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.time_embed.0.bias", whose dimensions in the model are torch.Size([1280]) and whose dimensions in the checkpoint are torch.Size([1280]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.time_embed.2.weight", whose dimensions in the model are torch.Size([1280, 1280]) and whose dimensions in the checkpoint are torch.Size([1280, 1280]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.time_embed.2.bias", whose dimensions in the model are torch.Size([1280]) and whose dimensions in the checkpoint are torch.Size([1280]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.input_blocks.0.0.weight", whose dimensions in the model are torch.Size([320, 4, 3, 3]) and whose dimensions in the checkpoint are torch.Size([320, 4, 3, 3]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.input_blocks.0.0.bias", whose dimensions in the model are torch.Size([320]) and whose dimensions in the checkpoint are torch.Size([320]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.input_blocks.1.0.in_layers.2.weight", whose dimensions in the model are torch.Size([320, 320, 3, 3]) and whose dimensions in the checkpoint are torch.Size([320, 320, 3, 3]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.input_blocks.1.0.in_layers.2.bias", whose dimensions in the model are torch.Size([320]) and whose dimensions in the checkpoint are torch.Size([320]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.input_blocks.1.0.emb_layers.1.weight", whose dimensions in the model are torch.Size([320, 1280]) and whose dimensions in the checkpoint are torch.Size([320, 1280]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.input_blocks.1.0.emb_layers.1.bias", whose dimensions in the model are torch.Size([320]) and whose dimensions in the checkpoint are torch.Size([320]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.input_blocks.1.0.out_layers.3.weight", whose dimensions in the model are torch.Size([320, 320, 3, 3]) and whose dimensions in the checkpoint are torch.Size([320, 320, 3, 3]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.input_blocks.1.0.out_layers.3.bias", whose dimensions in the model are torch.Size([320]) and whose dimensions in the checkpoint are torch.Size([320]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.input_blocks.1.1.proj_in.weight", whose dimensions in the model are torch.Size([320, 320, 1, 1]) and whose dimensions in the checkpoint are torch.Size([320, 320, 1, 1]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.input_blocks.1.1.proj_in.bias", whose dimensions in the model are torch.Size([320]) and whose dimensions in the checkpoint are torch.Size([320]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).
While copying the parameter named "model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_q.weight", whose dimensions in the model are torch.Size([320, 320]) and whose dimensions in the checkpoint are torch.Size([320, 320]), an exception occurred : ('CUDA error: the launch timed out and was terminated\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with TORCH_USE_CUDA_DSA to enable device-side assertions.\n',).`
dairydaddy
soulteary
Checklist
What happened?
I am using a A10 instance on azure running windows 11 and attempting to install and run automatic1111 but its crashing when trying to load v1-5-pruned-emaonly.safetensors
tried reinstalling many times, deleting the venv folder, cloning the repo to different drives. tried switching the 1.5 model to known good one in case it was corrupt. I switched it out with the aurora checkpoint and it was able to load the model, but then it crashed when I tried to generate a simple image.
Steps to reproduce the problem
just load the web ui and get it to load the v1-5-pruned-emaonly.safetensors checkpoint
What should have happened?
I should have been able to install and run auto1111
What browsers do you use to access the UI ?
Microsoft Edge
Sysinfo
{ "Platform": "Windows-10-10.0.22631-SP0", "Python": "3.10.6", "Version": "v1.7.0", "Commit": "cf2772fab0af5573da775e7437e6acdca424f26e", "Script path": "E:\git\stable-diffusion-webui", "Data path": "E:\git\stable-diffusion-webui", "Extensions dir": "E:\git\stable-diffusion-webui\extensions", "Checksum": "0d3f1d8cc4503859690cf6ae09694d9c61a103c3779c599651fb6084fa3e879c", "Commandline": [ "launch.py", "--xformers", "--listen", "--no-half" ], "Torch env info": { "torch_version": "2.0.1+cu118", "is_debug_build": "False", "cuda_compiled_version": "11.8", "gcc_version": null, "clang_version": null, "cmake_version": null, "os": "Microsoft Windows 11 Pro", "libc_version": "N/A", "python_version": "3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] (64-bit runtime)", "python_platform": "Windows-10-10.0.22631-SP0", "is_cuda_available": "True", "cuda_runtime_version": null, "cuda_module_loading": "LAZY", "nvidia_driver_version": "537.13", "nvidia_gpu_models": "GPU 0: NVIDIA A10-4Q", "cudnn_version": null, "pip_version": "pip3", "pip_packages": [ "numpy==1.23.5", "open-clip-torch==2.20.0", "pytorch-lightning==1.9.4", "torch==2.0.1+cu118", "torchdiffeq==0.2.3", "torchmetrics==1.2.1", "torchsde==0.2.6", "torchvision==0.15.2+cu118" ], "conda_packages": null, "hip_compiled_version": "N/A", "hip_runtime_version": "N/A", "miopen_runtime_version": "N/A", "caching_allocator_config": "", "is_xnnpack_available": "True", "cpu_info": [ "Architecture=9", "CurrentClockSpeed=3194", "DeviceID=CPU0", "Family=2", "L2CacheSize=", "L2CacheSpeed=", "Manufacturer=AuthenticAMD", "MaxClockSpeed=3194", "Name=AMD EPYC 74F3 24-Core Processor ", "ProcessorType=3", "Revision=257" ] }, "Exceptions": [], "CPU": { "model": "AMD64 Family 25 Model 1 Stepping 1, AuthenticAMD", "count logical": 6, "count physical": 3 }, "RAM": { "total": "55GB", "used": "14GB", "free": "40GB" }, "Extensions": [], "Inactive extensions": [], "Environment": { "COMMANDLINE_ARGS": "--xformers --listen --no-half", "GRADIO_ANALYTICS_ENABLED": "False" }, "Config": { "samples_save": true, "samples_format": "png", "samples_filename_pattern": "", "save_images_add_number": true, "save_images_replace_action": "Replace", "grid_save": true, "grid_format": "png", "grid_extended_filename": false, "grid_only_if_multiple": true, "grid_prevent_empty_spots": false, "grid_zip_filename_pattern": "", "n_rows": -1, "font": "", "grid_text_active_color": "#000000", "grid_text_inactive_color": "#999999", "grid_background_color": "#ffffff", "save_images_before_face_restoration": false, "save_images_before_highres_fix": false, "save_images_before_color_correction": false, "save_mask": false, "save_mask_composite": false, "jpeg_quality": 80, "webp_lossless": false, "export_for_4chan": true, "img_downscale_threshold": 4.0, "target_side_length": 4000, "img_max_size_mp": 200, "use_original_name_batch": true, "use_upscaler_name_as_suffix": false, "save_selected_only": true, "save_init_img": false, "temp_dir": "", "clean_temp_dir_at_start": false, "save_incomplete_images": false, "notification_audio": true, "notification_volume": 100, "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", "outdir_init_images": "outputs/init-images", "save_to_dirs": true, "grid_save_to_dirs": true, "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" ], "upscaler_for_img2img": null, "face_restoration": false, "face_restoration_model": "CodeFormer", "code_former_weight": 0.5, "face_restoration_unload": false, "auto_launch_browser": "Local", "enable_console_prompts": false, "show_warnings": false, "show_gradio_deprecation_warnings": true, "memmon_poll_rate": 8, "samples_log_stdout": false, "multiple_tqdm": true, "print_hypernet_extra": false, "list_hidden_files": true, "disable_mmap_load_safetensors": false, "hide_ldm_prints": true, "dump_stacks_on_signal": false, "api_enable_requests": true, "api_forbid_local_requests": true, "api_useragent": "", "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": "v1-5-pruned-emaonly.safetensors [6ce0161689]", "sd_checkpoints_limit": 1, "sd_checkpoints_keep_in_cpu": true, "sd_checkpoint_cache": 0, "sd_unet": 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