[Bug]: Very slow when using directml AMD Radeon RX 6800

[encoded-evolution]

Checklist

• The issue exists after disabling all extensions
• The issue exists on a clean installation of webui
• The issue is caused by an extension, but I believe it is caused by a bug in the webui
• The issue exists in the current version of the webui
• The issue has not been reported before recently
• The issue has been reported before but has not been fixed yet

What happened?

While I was able to install onto Windows 10 / AMD GPU (by following the below video) it is very slow to produce images, ~ 1.5s/it using the default model v1-5-pruned-emaonly.safetensors.

How can I get this to be more performant? The video below, using and older version goes from ~1it/s to 19it/s by enabling onnx. What is the procedure for doing similar on this newest version?

Installed as per this video: https://www.youtube.com/watch?v=mKxt0kxD5C0 but did not apply changes for onnx (those features are now deprecated) Most importantly:

• add torch-directml to requirements_versions.txt
• add commandline arg --use-directml to webui-user.bat
• pip install -r requirements.txt

Application functions and is using GPU but is very slow.

System specs:

Application settings:

Steps to reproduce the problem

Install the app from scratch and follow the video

What should have happened?

It should be more performant with a 16 GB Radeon 6800

What browsers do you use to access the UI ?

Mozilla Firefox

Sysinfo

{
"Platform": "Windows-10-10.0.19045-SP0",
"Python": "3.10.6",
"Version": "v1.9.3-amd-26-g50d3cf78",
"Commit": "50d3cf7852cfe07bd562440246202d8925be98a4",
"Script path": "C:\Users\[folder]\StableDiffusionAI\stable-diffusion-webui-amdgpu",
"Data path": "C:\Users\[folder]\StableDiffusionAI\stable-diffusion-webui-amdgpu",
"Extensions dir": "C:\Users\[folder]\StableDiffusionAI\stable-diffusion-webui-amdgpu\extensions",
"Checksum": "643cc8f8ddd09f90c2bfac81e3d6a4ce4ca9cf8d8844c548104e0d9a8ef2b2cc",
"Commandline": [
"launch.py",
"--use-directml"
],
"Torch env info": {
"torch_version": "2.3.1+cpu",
"is_debug_build": "False",
"cuda_compiled_version": null,
"gcc_version": "(MinGW-W64 x86_64-ucrt-posix-seh, built by Brecht Sanders) 12.2.0\r",
"clang_version": "14.0.6",
"cmake_version": null,
"os": "Microsoft Windows 10 Home",
"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-10-10.0.19045-SP0",
"is_cuda_available": "False",
"cuda_runtime_version": null,
"cuda_module_loading": "N/A",
"nvidia_driver_version": null,
"nvidia_gpu_models": null,
"cudnn_version": null,
"pip_version": "pip3",
"pip_packages": [
"numpy==1.26.2",
"onnx==1.16.1",
"onnxruntime==1.18.0",
"onnxruntime-directml==1.18.0",
"open-clip-torch==2.20.0",
"pytorch-lightning==1.9.4",
"torch==2.3.1",
"torch-directml==0.2.2.dev240614",
"torchdiffeq==0.2.3",
"torchmetrics==1.4.0.post0",
"torchsde==0.2.6",
"torchvision==0.18.1"
],
"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=4401",
"DeviceID=CPU0",
"Family=107",
"L2CacheSize=4096",
"L2CacheSpeed=",
"Manufacturer=AuthenticAMD",
"MaxClockSpeed=4401",
"Name=AMD Ryzen 7 5800X 8-Core Processor ",
"ProcessorType=3",
"Revision=8448"
]
},
"Exceptions": [],
"CPU": {
"model": "AMD64 Family 25 Model 33 Stepping 0, AuthenticAMD",
"count logical": 16,
"count physical": 8
},
"RAM": {
"total": "128GB",
"used": "24GB",
"free": "104GB"
},
"GPU": {
"model": "AMD Radeon RX 6800",
"total_memory": 1509261312
},
"Extensions": [],
"Inactive extensions": [],
"Environment": {
"COMMANDLINE_ARGS": "--use-directml",
"GRADIO_ANALYTICS_ENABLED": "False"
},
"Config": {
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"ldsr_cached": false,
"SCUNET_tile": 256,
"SCUNET_tile_overlap": 8,
"SWIN_tile": 192,
"SWIN_tile_overlap": 8,
"SWIN_torch_compile": false,
"hypertile_enable_unet": false,
"hypertile_enable_unet_secondpass": false,
"hypertile_max_depth_unet": 3,
"hypertile_max_tile_unet": 256,
"hypertile_swap_size_unet": 3,
"hypertile_enable_vae": false,
"hypertile_max_depth_vae": 3,
"hypertile_max_tile_vae": 128,
"hypertile_swap_size_vae": 3,
"sd_model_checkpoint": "v1-5-pruned-emaonly.safetensors [6ce0161689]",
"sd_checkpoint_hash": "6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa"
},
"Startup": {
"total": 11.81886911392212,
"records": {
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"prepare environment": 16.147207736968994,
"launcher": 0.0010008811950683594,
"import torch": 0.0,
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"setup paths": 0.0,
"import ldm": 0.0030031204223632812,
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"initialize shared": 1.5313475131988525,
"other imports": 0.0590512752532959,
"opts onchange": 0.0,
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"setup codeformer": 0.0020020008087158203,
"setup gfpgan": 0.01501321792602539,
"set samplers": 0.0,
"list extensions": 0.0030024051666259766,
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"list SD models": 0.03149867057800293,
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"load scripts/custom_code.py": 0.006005525588989258,
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"load scripts/postprocessing_upscale.py": 0.0,
"load scripts/prompt_matrix.py": 0.0,
"load scripts/prompts_from_file.py": 0.0010004043579101562,
"load scripts/sd_upscale.py": 0.0,
"load scripts/xyz_grid.py": 0.002002239227294922,
"load scripts/ldsr_model.py": 0.5134520530700684,
"load scripts/lora_script.py": 0.1401228904724121,
"load scripts/scunet_model.py": 0.023020267486572266,
"load scripts/swinir_model.py": 0.01801609992980957,
"load scripts/hotkey_config.py": 0.002001523971557617,
"load scripts/extra_options_section.py": 0.002002239227294922,
"load scripts/hypertile_script.py": 0.050043582916259766,
"load scripts/hypertile_xyz.py": 0.0,
"load scripts/postprocessing_autosized_crop.py": 0.0020024776458740234,
"load scripts/postprocessing_caption.py": 0.002001047134399414,
"load scripts/postprocessing_create_flipped_copies.py": 0.0010013580322265625,
"load scripts/postprocessing_focal_crop.py": 0.05704951286315918,
"load scripts/postprocessing_split_oversized.py": 0.0010013580322265625,
"load scripts/soft_inpainting.py": 0.002001523971557617,
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"load scripts/seed.py": 0.002001523971557617,
"load scripts": 0.852750301361084,
"load upscalers": 0.007006168365478516,
"refresh VAE": 0.0020017623901367188,
"refresh textual inversion templates": 0.0,
"scripts list_optimizers": 0.0020017623901367188,
"scripts list_unets": 0.0,
"reload hypernetworks": 0.0010006427764892578,
"initialize extra networks": 0.018016576766967773,
"scripts before_ui_callback": 0.0020012855529785156,
"create ui": 0.3503081798553467,
"gradio launch": 0.6355588436126709,
"add APIs": 0.0070056915283203125,
"app_started_callback/lora_script.py": 0.0,
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}
},
"Packages": [
"accelerate==0.21.0",
"aenum==3.1.15",
"aiofiles==23.2.1",
"aiohttp==3.9.5",
"aiosignal==1.3.1",
"alembic==1.13.1",
"altair==5.3.0",
"annotated-types==0.7.0",
"antlr4-python3-runtime==4.9.3",
"anyio==3.7.1",
"async-timeout==4.0.3",
"attrs==23.2.0",
"blendmodes==2022",
"certifi==2024.6.2",
"charset-normalizer==3.3.2",
"clean-fid==0.1.35",
"click==8.1.7",
"clip==1.0",
"colorama==0.4.6",
"coloredlogs==15.0.1",
"colorlog==6.8.2",
"contourpy==1.2.1",
"cycler==0.12.1",
"datasets==2.14.4",
"deprecation==2.1.0",
"diffusers==0.29.0",
"dill==0.3.7",
"diskcache==5.6.3",
"dnspython==2.6.1",
"einops==0.4.1",
"email-validator==2.2.0",
"exceptiongroup==1.2.1",
"facexlib==0.3.0",
"fastapi-cli==0.0.4",
"fastapi==0.94.0",
"ffmpy==0.3.2",
"filelock==3.15.3",
"filterpy==1.4.5",
"flatbuffers==24.3.25",
"fonttools==4.53.0",
"frozenlist==1.4.1",
"fsspec==2024.6.0",
"ftfy==6.2.0",
"gitdb==4.0.11",
"gitpython==3.1.32",
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"h11==0.12.0",
"httpcore==0.15.0",
"httptools==0.6.1",
"httpx==0.24.1",
"huggingface-hub==0.23.4",
"humanfriendly==10.0",
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"imageio==2.34.1",
"importlib-metadata==7.2.0",
"importlib-resources==6.4.0",
"inflection==0.5.1",
"intel-openmp==2021.4.0",
"jinja2==3.1.4",
"jsonmerge==1.8.0",
"jsonschema-specifications==2023.12.1",
"jsonschema==4.22.0",
"kiwisolver==1.4.5",
"kornia-rs==0.1.3",
"kornia==0.6.7",
"lark==1.1.2",
"lazy-loader==0.4",
"lightning-utilities==0.11.2",
"llvmlite==0.43.0",
"mako==1.3.5",
"markdown-it-py==3.0.0",
"markupsafe==2.1.5",
"matplotlib==3.9.0",
"mdurl==0.1.2",
"mkl==2021.4.0",
"mpmath==1.3.0",
"multidict==6.0.5",
"multiprocess==0.70.15",
"networkx==3.3",
"numba==0.60.0",
"numpy==1.26.2",
"olive-ai==0.6.2",
"omegaconf==2.2.3",
"onnx==1.16.1",
"onnxruntime-directml==1.18.0",
"onnxruntime==1.18.0",
"open-clip-torch==2.20.0",
"opencv-python==4.10.0.84",
"optimum==1.20.0",
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"piexif==1.1.3",
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"pillow==9.5.0",
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"protobuf==3.20.3",
"psutil==5.9.5",
"pyarrow==16.1.0",
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"pydub==0.25.1",
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"pyparsing==3.1.2",
"pyreadline3==3.4.1",
"python-dateutil==2.9.0.post0",
"python-dotenv==1.0.1",
"python-multipart==0.0.9",
"pytorch-lightning==1.9.4",
"pytz==2024.1",
"pywavelets==1.6.0",
"pyyaml==6.0.1",
"referencing==0.35.1",
"regex==2024.5.15",
"requests==2.32.3",
"resize-right==0.0.2",
"rich==13.7.1",
"rpds-py==0.18.1",
"safetensors==0.4.2",
"scikit-image==0.21.0",
"scipy==1.13.1",
"semantic-version==2.10.0",
"sentencepiece==0.2.0",
"setuptools==69.5.1",
"shellingham==1.5.4",
"six==1.16.0",
"smmap==5.0.1",
"sniffio==1.3.1",
"spandrel==0.1.6",
"sqlalchemy==2.0.31",
"starlette==0.26.1",
"sympy==1.12.1",
"tbb==2021.13.0",
"tifffile==2024.6.18",
"timm==1.0.7",
"tokenizers==0.13.3",
"tomesd==0.1.3",
"toolz==0.12.1",
"torch-directml==0.2.2.dev240614",
"torch==2.3.1",
"torchdiffeq==0.2.3",
"torchmetrics==1.4.0.post0",
"torchsde==0.2.6",
"torchvision==0.18.1",
"tqdm==4.66.4",
"trampoline==0.1.2",
"transformers==4.30.2",
"typer==0.12.3",
"typing-extensions==4.12.2",
"tzdata==2024.1",
"ujson==5.10.0",
"urllib3==2.2.2",
"uvicorn==0.30.1",
"watchfiles==0.22.0",
"wcwidth==0.2.13",
"websockets==11.0.3",
"xxhash==3.4.1",
"yarl==1.9.4",
"zipp==3.19.2"
]
}

Console logs

Could not capture the console logs

Additional information

GPU driver has been updated recently to v24.4.1

[encoded-evolution]

update: I followed the instructions on this page: #149
Including the extra instructions section. During the update, there were no errors.

When trying to run the model I get the following error: TypeError: 'OnnxRawPipeline' object is not callable

sysinfo:
{
"Platform": "Windows-10-10.0.19045-SP0",
"Python": "3.10.6",
"Version": "v1.9.3-amd-26-g50d3cf78",
"Commit": "50d3cf7852cfe07bd562440246202d8925be98a4",
"Script path": "C:\Users\folde\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy",
"Data path": "C:\Users\folde\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy",
"Extensions dir": "C:\Users\folde\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\extensions",
"Checksum": "b16228d1963ee180c70e645d806b88ef6ec279aaf6cbe6907bc2ac325f7d7840",
"Commandline": [
"launch.py",
"--use-cpu-torch"
],
"Torch env info": {
"torch_version": "2.3.1+cpu",
"is_debug_build": "False",
"cuda_compiled_version": null,
"gcc_version": "(MinGW-W64 x86_64-ucrt-posix-seh, built by Brecht Sanders) 12.2.0\r",
"clang_version": "14.0.6",
"cmake_version": null,
"os": "Microsoft Windows 10 Home",
"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-10-10.0.19045-SP0",
"is_cuda_available": "False",
"cuda_runtime_version": null,
"cuda_module_loading": "N/A",
"nvidia_driver_version": null,
"nvidia_gpu_models": null,
"cudnn_version": null,
"pip_version": "pip3",
"pip_packages": [
"numpy==1.26.2",
"onnx==1.16.1",
"onnxruntime==1.18.0",
"onnxruntime-directml==1.18.0",
"open-clip-torch==2.20.0",
"pytorch-lightning==1.9.4",
"torch==2.3.1",
"torch-directml==0.2.2.dev240614",
"torchdiffeq==0.2.3",
"torchmetrics==1.4.0.post0",
"torchsde==0.2.6",
"torchvision==0.18.1"
],
"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=4401",
"DeviceID=CPU0",
"Family=107",
"L2CacheSize=4096",
"L2CacheSpeed=",
"Manufacturer=AuthenticAMD",
"MaxClockSpeed=4401",
"Name=AMD Ryzen 7 5800X 8-Core Processor ",
"ProcessorType=3",
"Revision=8448"
]
},
"Exceptions": [],
"CPU": {
"model": "AMD64 Family 25 Model 33 Stepping 0, AuthenticAMD",
"count logical": 16,
"count physical": 8
},
"RAM": {
"total": "128GB",
"used": "39GB",
"free": "89GB"
},
"GPU": "DirectML is not initialized",
"Extensions": [],
"Inactive extensions": [],
"Environment": {
"COMMANDLINE_ARGS": " --use-cpu-torch",
"GRADIO_ANALYTICS_ENABLED": "False"
},
"Config": {
"ldsr_steps": 100,
"ldsr_cached": false,
"SCUNET_tile": 256,
"SCUNET_tile_overlap": 8,
"SWIN_tile": 192,
"SWIN_tile_overlap": 8,
"SWIN_torch_compile": false,
"hypertile_enable_unet": false,
"hypertile_enable_unet_secondpass": false,
"hypertile_max_depth_unet": 3,
"hypertile_max_tile_unet": 256,
"hypertile_swap_size_unet": 3,
"hypertile_enable_vae": false,
"hypertile_max_depth_vae": 3,
"hypertile_max_tile_vae": 128,
"hypertile_swap_size_vae": 3,
"sd_model_checkpoint": "sd_xl_base_1.0.safetensors [31e35c80fc]",
"sd_checkpoint_hash": "25e5652f08e509255743464cbda574615238871f68ca2a291f091dd927694d7d",
"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",
"onnx_cached_models_path": "C:\Users\folde\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\models\ONNX\cache",
"onnx_temp_dir": "C:\Users\folde\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\models\ONNX\temp",
"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": 4000.0,
"img_max_size_mp": 200.0,
"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,
"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,
"auto_backcompat": 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,
"use_downcasted_alpha_bar": false,
"refiner_switch_by_sample_steps": false,
"lora_functional": false,
"extra_networks_show_hidden_directories": true,
"extra_networks_dir_button_function": false,
"extra_networks_hidden_models": "When searched",
"extra_networks_default_multiplier": 1,
"extra_networks_card_width": 0.0,
"extra_networks_card_height": 0.0,
"extra_networks_card_text_scale": 1,
"extra_networks_card_show_desc": true,
"extra_networks_card_description_is_html": false,
"extra_networks_card_order_field": "Path",
"extra_networks_card_order": "Ascending",
"extra_networks_tree_view_style": "Dirs",
"extra_networks_tree_view_default_enabled": true,
"extra_networks_tree_view_default_width": 180.0,
"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",
"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,
"lora_not_found_warning_console": false,
"lora_not_found_gradio_warning": false,
"onnx_enable": true,
"diffusers_pipeline": "ONNX Stable Diffusion",
"diffusers_vae_upcast": "default",
"onnx_execution_provider": "DmlExecutionProvider",
"onnx_cache_converted": true,
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},
"Packages": [
"accelerate==0.21.0",
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}

cmd trace:

venv "C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\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: v1.9.3-amd-26-g50d3cf78
Commit hash: 50d3cf7
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\venv\lib\site-packages\pytorch_lightning\utilities\distributed.py:258: LightningDeprecationWarning: pytorch_lightning.utilities.distributed.rank_zero_only has been deprecated in v1.8.1 and will be removed in v2.0.0. You can import it from pytorch_lightning.utilities instead.
rank_zero_deprecation(
Launching Web UI with arguments: --use-cpu-torch --no-half
Warning: caught exception 'Torch not compiled with CUDA enabled', memory monitor disabled
C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\venv\lib\site-packages\diffusers\models\transformers\transformer_2d.py:34: FutureWarning: Transformer2DModelOutput is deprecated and will be removed in version 1.0.0. Importing Transformer2DModelOutput from diffusers.models.transformer_2d is deprecated and this will be removed in a future version. Please use from diffusers.models.modeling_outputs import Transformer2DModelOutput, instead.
deprecate("Transformer2DModelOutput", "1.0.0", deprecation_message)
C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\venv\lib\site-packages\diffusers\models\vq_model.py:20: FutureWarning: VQEncoderOutput is deprecated and will be removed in version 0.31. Importing VQEncoderOutput from diffusers.models.vq_model is deprecated and this will be removed in a future version. Please use from diffusers.models.autoencoders.vq_model import VQEncoderOutput, instead.
deprecate("VQEncoderOutput", "0.31", deprecation_message)
C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\venv\lib\site-packages\diffusers\models\vq_model.py:25: FutureWarning: VQModel is deprecated and will be removed in version 0.31. Importing VQModel from diffusers.models.vq_model is deprecated and this will be removed in a future version. Please use from diffusers.models.autoencoders.vq_model import VQModel, instead.
deprecate("VQModel", "0.31", deprecation_message)
ONNX: version=1.18.0 provider=DmlExecutionProvider, available=['DmlExecutionProvider', 'CPUExecutionProvider']
Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().
Fetching 17 files: 100%|¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 17/17 [00:00<?, ?it/s]
Loading pipeline components...: 40%|¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦? | 2/5 [00:00<00:00, 17.68it/s]Startup time: 11.9s (prepare environment: 17.3s, initialize shared: 1.2s, load scripts: 0.7s, create ui: 0.3s, gradio launch: 0.6s).
Loading pipeline components...: 100%|¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 5/5 [00:02<00:00, 2.50it/s]
You have disabled the safety checker for <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline'> by passing safety_checker=None. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at huggingface/diffusers#254 .
Applying attention optimization: InvokeAI... done.
WARNING: ONNX implementation works best with SD.Next. Please consider migrating to SD.Next.
C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\venv\lib\site-packages\transformers\models\clip\modeling_clip.py:684: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
mask = torch.full((tgt_len, tgt_len), torch.tensor(torch.finfo(dtype).min, device=device), device=device)
C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\venv\lib\site-packages\transformers\models\clip\modeling_clip.py:284: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if attn_weights.size() != (bsz * self.num_heads, tgt_len, src_len):
C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\venv\lib\site-packages\transformers\models\clip\modeling_clip.py:292: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if causal_attention_mask.size() != (bsz, 1, tgt_len, src_len):
C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\venv\lib\site-packages\transformers\models\clip\modeling_clip.py:324: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if attn_output.size() != (bsz * self.num_heads, tgt_len, self.head_dim):
ONNX: Successfully exported converted model: submodel=text_encoder
ONNX: Failed to convert model: model='sd_xl_base_1.0.safetensors', error=load_checkpoint_and_dispatch() got an unexpected keyword argument 'force_hooks'
Fetching 17 files: 100%|¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 17/17 [00:00<?, ?it/s]
Loading pipeline components...: 100%|¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦¦| 5/5 [00:01<00:00, 3.00it/s]
You have disabled the safety checker for <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline'> by passing safety_checker=None. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at huggingface/diffusers#254 .
ONNX: processing=StableDiffusionProcessingTxt2Img, pipeline=OnnxRawPipeline
*** Error completing request
*** Arguments: ('task(x5rgyrnfbkv3jig)', <gradio.routes.Request object at 0x0000024667441F90>, 'beach ball', '', [], 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 20, 'PNDM', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\modules\call_queue.py", line 36, in f
res = func(*args, **kwargs)
File "C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\modules\txt2img.py", line 109, in txt2img
processed = processing.process_images(p)
File "C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\modules\processing.py", line 847, in process_images
res = process_images_inner(p)
File "C:\Users[userfolder]\StableDiffusionAI\stable-diffusion-webui-amdgpu - Copy\modules\processing.py", line 952, in process_images_inner
result = shared.sd_model(**kwargs)
TypeError: 'OnnxRawPipeline' object is not callable

[CS1o]

Hey the best way currently for AMD Users on Windows is to run Stable Diffusion via ZLUDA.
WSL2 ROCm is currently in Beta testing but looks very promissing too.

ZLUDA has the best performance and compatibility and uses less vram compared to DirectML and Onnx.
And your RX6800 is supported by it.

Here are all my AMD Guides, try the Automatic1111 with ZLUDA:
https://github.com/CS1o/Stable-Diffusion-Info/wiki/Installation-Guides

[lshqqytiger]

DirectML has bad performance. Please try ZLUDA if possible. Your card is supported.

[trevortai]

For your last problem where OnnxRawPipeline isn't callable is probably due to SDXL being incompatible with the default ONNXRT Pipeline. I was able to use the default SD v1.5 checkpoint with ONNXRT + Olive just fine.

The main problem in the logs is likely:

ONNX: Failed to convert model: model='sd_xl_base_1.0.safetensors', 
error=load_checkpoint_and_dispatch() got an unexpected keyword argument 'force_hooks'

You will probably have to do additional research to try and enable SDXL with ONNXRT if you want to continue using DML

[lshqqytiger]

If you have diffusers==0.30.0, downgrade it to 0.29.x.