thundercat71
commented
8 months ago Solved it using --no-half-vae
Open thundercat71 opened 8 months ago
thundercat71
commented
8 months ago Solved it using --no-half-vae
Is there an existing issue for this?
What happened?
This fault started with the [v1.6.0-2-g4afaaf8a] update.
Generation will work fine on 512 by 512 but will report errors on 1024 by 1024 with cuda memory issues.
Will work but VERY slow if I add --lowvram to startup I have 2 other systems running the interface and so far have not dared to update them.
Steps to reproduce the problem
1.Load a SDXL checkpoint
What should have happened?
Generate an image ;)
Sysinfo
{ "Platform": "Windows-10-10.0.19044-SP0", "Python": "3.10.6", "Version": "v1.6.0-2-g4afaaf8a", "Commit": "4afaaf8a020c1df457bcf7250cb1c7f609699fa7", "Script path": "D:\SD\stable-diffusion-webui", "Data path": "D:\SD\stable-diffusion-webui", "Extensions dir": "D:\SD\stable-diffusion-webui\extensions", "Checksum": "82812e726fb9bdf38323a137281fdb50cf154e4283202e06c9addfb939c4c7cc", "Commandline": [ "launch.py", "--xformers", "--autolaunch", "--theme", "dark", "--ckpt-dir", "D:\SD\models\Stable-diffusion", "--lora-dir", "D:\SD\models\Lora", "--medvram", "--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": "version 3.27.5", "os": "Microsoft Windows 10 Enterprise", "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-10-10.0.19044-SP0", "is_cuda_available": "True", "cuda_runtime_version": "12.3.52\r", "cuda_module_loading": "LAZY", "nvidia_driver_version": "546.01", "nvidia_gpu_models": [ "GPU 0: NVIDIA GeForce GTX 1080 Ti", "GPU 1: NVIDIA GeForce GTX 1080 Ti" ], "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==1.2.0", "torchsde==0.2.5", "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=3696", "DeviceID=CPU0", "Family=198", "L2CacheSize=1536", "L2CacheSpeed=", "Manufacturer=GenuineIntel", "MaxClockSpeed=3696", "Name=Intel(R) Core(TM) i7-8700K CPU @ 3.70GHz", "ProcessorType=3", "Revision=" ] }, "Exceptions": [ { "exception": "CUDA out of memory. Tried to allocate 80.00 MiB (GPU 0; 11.00 GiB total capacity; 10.03 GiB already allocated; 0 bytes free; 10.19 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF", "traceback": [ [ "D:\SD\stable-diffusion-webui\modules\call_queue.py, line 57, f", "res = list(func(*args, kwargs))" ], [ "D:\SD\stable-diffusion-webui\modules\call_queue.py, line 36, f", "res = func(*args, *kwargs)" ], [ "D:\SD\stable-diffusion-webui\modules\txt2img.py, line 55, txt2img", "processed = processing.process_images(p)" ], [ "D:\SD\stable-diffusion-webui\modules\processing.py, line 732, process_images", "res = process_images_inner(p)" ], [ "D:\SD\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py, line 42, processing_process_images_hijack", "return getattr(processing, '__controlnet_original_process_images_inner')(p, args, kwargs)" ], [ "D:\SD\stable-diffusion-webui\modules\processing.py, line 867, process_images_inner", "samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)" ], [ "D:\SD\stable-diffusion-webui\modules\processing.py, line 1140, sample", "samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))" ], [ "D:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 235, sample", "samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs))" ], [ "D:\SD\stable-diffusion-webui\modules\sd_samplers_common.py, line 261, launch_sampling", "return func()" ], [ "D:\SD\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py, line 235,",
"samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, extra_params_kwargs))"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\utils\_contextlib.py, line 115, decorate_context",
"return func(*args, kwargs)"
],
[
"D:\SD\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py, line 594, sample_dpmpp_2m",
"denoised = model(x, sigmas[i] * s_in, *extra_args)"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(args, kwargs)"
],
[
"D:\SD\stable-diffusion-webui\modules\sd_samplers_cfg_denoiser.py, line 169, forward",
"x_out = self.inner_model(x_in, sigma_in, cond=make_condition_dict(cond_in, image_cond_in))"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(*args, kwargs)"
],
[
"D:\SD\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py, line 112, forward",
"eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), *kwargs)"
],
[
"D:\SD\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\external.py, line 138, get_eps",
"return self.inner_model.apply_model(args, kwargs)"
],
[
"D:\SD\stable-diffusion-webui\modules\sd_models_xl.py, line 37, apply_model",
"return self.model(x, t, cond)"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1538, _call_impl",
"result = forward_call(*args, kwargs)"
],
[
"D:\SD\stable-diffusion-webui\modules\sd_hijack_utils.py, line 17, ",
"setattr(resolved_obj, func_path[-1], lambda *args, *kwargs: self(args, kwargs))"
],
[
"D:\SD\stable-diffusion-webui\modules\sd_hijack_utils.py, line 28, call",
"return self.__orig_func(*args, kwargs)"
],
[
"D:\SD\stable-diffusion-webui\repositories\generative-models\sgm\modules\diffusionmodules\wrappers.py, line 28, forward",
"return self.diffusion_model("
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(*args, *kwargs)"
],
[
"D:\SD\stable-diffusion-webui\repositories\generative-models\sgm\modules\diffusionmodules\openaimodel.py, line 993, forward",
"h = module(h, emb, context)"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(args, kwargs)"
],
[
"D:\SD\stable-diffusion-webui\repositories\generative-models\sgm\modules\diffusionmodules\openaimodel.py, line 100, forward",
"x = layer(x, context)"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(*args, kwargs)"
],
[
"D:\SD\stable-diffusion-webui\repositories\generative-models\sgm\modules\attention.py, line 627, forward",
"x = block(x, context=context[i])"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(*args, kwargs)"
],
[
"D:\SD\stable-diffusion-webui\repositories\generative-models\sgm\modules\attention.py, line 459, forward",
"return checkpoint("
],
[
"D:\SD\stable-diffusion-webui\repositories\generative-models\sgm\modules\diffusionmodules\util.py, line 165, checkpoint",
"return CheckpointFunction.apply(func, len(inputs), args)"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\function.py, line 506, apply",
"return super().apply(args, kwargs) # type: ignore[misc]"
],
[
"D:\SD\stable-diffusion-webui\repositories\generative-models\sgm\modules\diffusionmodules\util.py, line 182, forward",
"output_tensors = ctx.run_function(ctx.input_tensors)"
],
[
"D:\SD\stable-diffusion-webui\repositories\generative-models\sgm\modules\attention.py, line 483, _forward",
"x = self.ff(self.norm3(x)) + x"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(args, *kwargs)"
],
[
"D:\SD\stable-diffusion-webui\repositories\generative-models\sgm\modules\attention.py, line 108, forward",
"return self.net(x)"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(args, kwargs)"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\container.py, line 217, forward",
"input = module(input)"
],
[
"D:\SD\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py, line 1501, _call_impl",
"return forward_call(*args, *kwargs)"
],
[
"D:\SD\stable-diffusion-webui\repositories\generative-models\sgm\modules\attention.py, line 89, forward",
"return x F.gelu(gate)"
]
]
}
],
"CPU": {
"model": "Intel64 Family 6 Model 158 Stepping 10, GenuineIntel",
"count logical": 12,
"count physical": 6
},
"RAM": {
"total": "32GB",
"used": "14GB",
"free": "17GB"
},
"Extensions": [
{
"name": "sd-webui-controlnet",
"path": "D:\SD\stable-diffusion-webui\extensions\sd-webui-controlnet",
"version": "05ef0b1c",
"branch": "main",
"remote": "https://github.com/Mikubill/sd-webui-controlnet.git"
},
{
"name": "ultimate-upscale-for-automatic1111",
"path": "D:\SD\stable-diffusion-webui\extensions\ultimate-upscale-for-automatic1111",
"version": "728ffcec",
"branch": "master",
"remote": "https://github.com/Coyote-A/ultimate-upscale-for-automatic1111.git"
}
],
"Inactive extensions": [
{
"name": "sd-webui-aspect-ratio-helper",
"path": "D:\SD\stable-diffusion-webui\extensions\sd-webui-aspect-ratio-helper",
"version": "99fcf9b0",
"branch": "main",
"remote": "https://github.com/thomasasfk/sd-webui-aspect-ratio-helper.git"
}
],
"Environment": {
"COMMANDLINE_ARGS": "--xformers --autolaunch --theme dark --ckpt-dir 'D:\SD\models\Stable-diffusion' --lora-dir 'D:\SD\models\Lora' --medvram --no-half",
"GRADIO_ANALYTICS_ENABLED": "False"
},
"Config": {
"samples_save": true,
"samples_format": "png",
"samples_filename_pattern": "",
"save_images_add_number": true,
"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",
"enable_pnginfo": true,
"save_txt": false,
"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,
"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",
"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,
"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": "juggernautXL_version6Rundiffusion.safetensors [1fe6c7ec54]",
"sd_checkpoints_limit": 1,
"sd_checkpoints_keep_in_cpu": true,
"sd_checkpoint_cache": 0,
"sd_unet": "Automatic",
"enable_quantization": false,
"enable_emphasis": true,
"enable_batch_seeds": true,
"comma_padding_backtrack": 20,
"CLIP_stop_at_last_layers": 1,
"upcast_attn": false,
"randn_source": "GPU",
"tiling": false,
"hires_fix_refiner_pass": "second pass",
"sdxl_crop_top": 0,
"sdxl_crop_left": 0,
"sdxl_refiner_low_aesthetic_score": 2.5,
"sdxl_refiner_high_aesthetic_score": 6.0,
"sd_vae_explanation": "VAE is a neural network that transforms a standard RGB\nimage into latent space representation and back. Latent space representation is what stable diffusion is working on during sampling\n(i.e. when the progress bar is between empty and full). For txt2img, VAE is used to create a resulting image after the sampling is finished.\nFor img2img, VAE is used to process user's input image before the sampling, and to create an image after sampling.",
"sd_vae_checkpoint_cache": 0,
"sd_vae": "Automatic",
"sd_vae_overrides_per_model_preferences": true,
"auto_vae_precision": true,
"sd_vae_encode_method": "Full",
"sd_vae_decode_method": "Full",
"inpainting_mask_weight": 1.0,
"initial_noise_multiplier": 1.0,
"img2img_extra_noise": 0.0,
"img2img_color_correction": false,
"img2img_fix_steps": false,
"img2img_background_color": "#ffffff",
"img2img_editor_height": 720,
"img2img_sketch_default_brush_color": "#ffffff",
"img2img_inpaint_mask_brush_color": "#ffffff",
"img2img_inpaint_sketch_default_brush_color": "#ffffff",
"return_mask": false,
"return_mask_composite": false,
"cross_attention_optimization": "Automatic",
"s_min_uncond": 0.0,
"token_merging_ratio": 0.0,
"token_merging_ratio_img2img": 0.0,
"token_merging_ratio_hr": 0.0,
"pad_cond_uncond": false,
"persistent_cond_cache": true,
"batch_cond_uncond": true,
"use_old_emphasis_implementation": false,
"use_old_karras_scheduler_sigmas": false,
"no_dpmpp_sde_batch_determinism": false,
"use_old_hires_fix_width_height": false,
"dont_fix_second_order_samplers_schedule": false,
"hires_fix_use_firstpass_conds": false,
"use_old_scheduling": 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": 0.5,
"deepbooru_sort_alpha": true,
"deepbooru_use_spaces": true,
"deepbooru_escape": true,
"deepbooru_filter_tags": "",
"extra_networks_show_hidden_directories": true,
"extra_networks_hidden_models": "When searched",
"extra_networks_default_multiplier": 1.0,
"extra_networks_card_width": 0,
"extra_networks_card_height": 0,
"extra_networks_card_text_scale": 1.0,
"extra_networks_card_show_desc": true,
"extra_networks_add_text_separator": " ",
"ui_extra_networks_tab_reorder": "",
"textual_inversion_print_at_load": false,
"textual_inversion_add_hashes_to_infotext": true,
"sd_hypernetwork": "None",
"localization": "None",
"gradio_theme": "Default",
"gradio_themes_cache": true,
"gallery_height": "",
"return_grid": true,
"do_not_show_images": false,
"send_seed": true,
"send_size": true,
"js_modal_lightbox": true,
"js_modal_lightbox_initially_zoomed": true,
"js_modal_lightbox_gamepad": false,
"js_modal_lightbox_gamepad_repeat": 250,
"show_progress_in_title": true,
"samplers_in_dropdown": true,
"dimensions_and_batch_together": true,
"keyedit_precision_attention": 0.1,
"keyedit_precision_extra": 0.05,
"keyedit_delimiters": ".,\/!?%^*;:{}=`~()",
"keyedit_move": true,
"quicksettings_list": [
"sd_model_checkpoint",
"sd_vae"
],
"ui_tab_order": [],
"hidden_tabs": [],
"ui_reorder_list": [],
"hires_fix_show_sampler": false,
"hires_fix_show_prompts": false,
"disable_token_counters": false,
"add_model_hash_to_info": true,
"add_model_name_to_info": true,
"add_user_name_to_info": false,
"add_version_to_infotext": true,
"disable_weights_auto_swap": true,
"infotext_styles": "Apply if any",
"show_progressbar": true,
"live_previews_enable": true,
"live_previews_image_format": "png",
"show_progress_grid": true,
"show_progress_every_n_steps": 10,
"show_progress_type": "Approx NN",
"live_preview_allow_lowvram_full": false,
"live_preview_content": "Prompt",
"live_preview_refresh_period": 1000,
"live_preview_fast_interrupt": false,
"hide_samplers": [],
"eta_ddim": 0.0,
"eta_ancestral": 1.0,
"ddim_discretize": "uniform",
"s_churn": 0.0,
"s_tmin": 0.0,
"s_tmax": 0.0,
"s_noise": 1.0,
"k_sched_type": "Automatic",
"sigma_min": 0.0,
"sigma_max": 0.0,
"rho": 0.0,
"eta_noise_seed_delta": 0,
"always_discard_next_to_last_sigma": false,
"sgm_noise_multiplier": false,
"uni_pc_variant": "bh1",
"uni_pc_skip_type": "time_uniform",
"uni_pc_order": 3,
"uni_pc_lower_order_final": true,
"postprocessing_enable_in_main_ui": [],
"postprocessing_operation_order": [],
"upscaling_max_images_in_cache": 5,
"disabled_extensions": [
"sd-webui-aspect-ratio-helper"
],
"disable_all_extensions": "none",
"restore_config_state_file": "",
"sd_checkpoint_hash": "1fe6c7ec54c786040cdabc7b4e89720069d97096922e20d01f13e7764412b47f",
"ldsr_steps": 100,
"ldsr_cached": false,
"SCUNET_tile": 256,
"SCUNET_tile_overlap": 8,
"SWIN_tile": 192,
"SWIN_tile_overlap": 8,
"lora_functional": false,
"sd_lora": "None",
"lora_preferred_name": "Alias from file",
"lora_add_hashes_to_infotext": true,
"lora_show_all": false,
"lora_hide_unknown_for_versions": [],
"lora_in_memory_limit": 0,
"extra_options_txt2img": [
"face_restoration",
"tiling"
],
"extra_options_img2img": [
"face_restoration",
"tiling"
],
"extra_options_cols": 1,
"extra_options_accordion": false,
"canvas_hotkey_zoom": "Alt",
"canvas_hotkey_adjust": "Ctrl",
"canvas_hotkey_move": "F",
"canvas_hotkey_fullscreen": "S",
"canvas_hotkey_reset": "R",
"canvas_hotkey_overlap": "O",
"canvas_show_tooltip": true,
"canvas_auto_expand": true,
"canvas_blur_prompt": false,
"canvas_disabled_functions": [
"Overlap"
],
"control_net_detectedmap_dir": "detected_maps",
"control_net_models_path": "",
"control_net_modules_path": "",
"control_net_unit_count": 3,
"control_net_model_cache_size": 1,
"control_net_inpaint_blur_sigma": 7,
"control_net_no_high_res_fix": false,
"control_net_no_detectmap": false,
"control_net_detectmap_autosaving": false,
"control_net_allow_script_control": false,
"control_net_sync_field_args": true,
"controlnet_show_batch_images_in_ui": false,
"controlnet_increment_seed_during_batch": false,
"controlnet_disable_control_type": false,
"controlnet_disable_openpose_edit": false,
"controlnet_ignore_noninpaint_mask": false
},
"Startup": {
"total": 32.43173336982727,
"records": {
"initial startup": 0.008999109268188477,
"prepare environment/checks": 0.04000091552734375,
"prepare environment/git version info": 0.2520027160644531,
"prepare environment/torch GPU test": 7.33830189704895,
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"Packages": [
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"yapf==0.40.2",
"yarl==1.9.2",
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]
}
What browsers do you use to access the UI ?
No response
Console logs
Additional information
Have tried reinstall, no extensions, updated CUDA drivers.