qiacheng
commented
1 year ago Hi @pjsg, could you check the torch, torchvision, and openvino version in sd_env with pip list?
Closed pjsg closed 1 year ago
qiacheng
commented
1 year ago Hi @pjsg, could you check the torch, torchvision, and openvino version in sd_env with pip list?
pjsg
commented
1 year ago @qiacheng Here you go:
openvino==2023.1.0.dev20230811
torch==2.0.1+cu118
torchvision==0.15.2+cu118And all of them....
absl-py==2.0.0
accelerate==0.21.0
addict==2.4.0
aenum==3.1.15
aiofiles==23.2.1
aiohttp==3.8.6
aiosignal==1.3.1
altair==5.1.2
antlr4-python3-runtime==4.9.3
anyio==3.7.1
async-timeout==4.0.3
attrs==23.1.0
basicsr==1.4.2
beautifulsoup4==4.12.2
blendmodes==2022
boltons==23.0.0
cachetools==5.3.1
certifi==2023.7.22
charset-normalizer==3.3.0
clean-fid==0.1.35
click==8.1.7
clip==1.0
cmake==3.27.7
contourpy==1.1.1
cycler==0.12.1
deprecation==2.1.0
diffusers==0.21.1
einops==0.4.1
exceptiongroup==1.1.3
facexlib==0.3.0
fastapi==0.94.0
ffmpy==0.3.1
filelock==3.12.4
filterpy==1.4.5
fonttools==4.43.1
frozenlist==1.4.0
fsspec==2023.9.2
ftfy==6.1.1
future==0.18.3
gdown==4.7.1
gfpgan==1.3.8
gitdb==4.0.10
GitPython==3.1.34
google-auth==2.23.3
google-auth-oauthlib==1.1.0
gradio==3.41.2
gradio_client==0.5.0
grpcio==1.59.0
h11==0.12.0
httpcore==0.15.0
httpx==0.24.1
huggingface-hub==0.18.0
idna==3.4
imageio==2.31.5
importlib-metadata==6.8.0
importlib-resources==6.1.0
inflection==0.5.1
invisible-watermark==0.2.0
Jinja2==3.1.2
jsonmerge==1.8.0
jsonschema==4.19.1
jsonschema-specifications==2023.7.1
kiwisolver==1.4.5
kornia==0.6.7
lark==1.1.2
lazy_loader==0.3
lightning-utilities==0.9.0
lit==17.0.2
llvmlite==0.41.0
lmdb==1.4.1
lpips==0.1.4
Markdown==3.5
MarkupSafe==2.1.3
matplotlib==3.8.0
mpmath==1.3.0
multidict==6.0.4
networkx==3.1
numba==0.58.0
numpy==1.23.5
oauthlib==3.2.2
omegaconf==2.2.3
open-clip-torch==2.20.0
opencv-python==4.8.1.78
openvino==2023.1.0.dev20230811
openvino-telemetry==2023.2.0
orjson==3.9.9
packaging==23.2
pandas==2.1.1
piexif==1.1.3
Pillow==9.5.0
platformdirs==3.11.0
protobuf==3.20.0
psutil==5.9.5
pyasn1==0.5.0
pyasn1-modules==0.3.0
pydantic==1.10.13
pydub==0.25.1
pyparsing==3.1.1
PySocks==1.7.1
python-dateutil==2.8.2
python-multipart==0.0.6
pytorch-lightning==1.9.4
pytz==2023.3.post1
PyWavelets==1.4.1
PyYAML==6.0.1
realesrgan==0.3.0
referencing==0.30.2
regex==2023.10.3
requests==2.31.0
requests-oauthlib==1.3.1
resize-right==0.0.2
rpds-py==0.10.6
rsa==4.9
safetensors==0.3.1
scikit-image==0.21.0
scipy==1.11.3
semantic-version==2.10.0
sentencepiece==0.1.99
six==1.16.0
smmap==5.0.1
sniffio==1.3.0
soupsieve==2.5
starlette==0.26.1
sympy==1.12
tb-nightly==2.15.0a20231016
tensorboard-data-server==0.7.1
tifffile==2023.9.26
timm==0.9.2
tokenizers==0.13.3
tomesd==0.1.3
tomli==2.0.1
toolz==0.12.0
torch==2.0.1+cu118
torchdiffeq==0.2.3
torchmetrics==1.2.0
torchsde==0.2.5
torchvision==0.15.2+cu118
tqdm==4.66.1
trampoline==0.1.2
transformers==4.30.2
triton==2.0.0
typing_extensions==4.8.0
tzdata==2023.3
urllib3==2.0.6
uvicorn==0.23.2
wcwidth==0.2.8
websockets==11.0.3
Werkzeug==3.0.0
yapf==0.40.2
yarl==1.9.2
zipp==3.17.0@pjsg looks like torch and torchvision are not installed correctly and it's using cu118 version. It needs the cpu version of torch could you do sd_env\scritps\python.exe -m pip install torch==2.0.1 and try again?
pjsg
commented
1 year ago @qiacheng Thanks for that advice. I did force install torch==2.0.1 (and I also needed to install torchvision==0.15.2 to get the compatible version) and I now have:
open-clip-torch==2.20.0
pytorch-lightning==1.9.4
torch==2.0.1
torchdiffeq==0.2.3
torchmetrics==1.2.0
torchsde==0.2.5
torchvision==0.15.2But I still get:
(sd_env) philip@jupiter:~$ ./runui.sh
################################################################
Install script for stable-diffusion + Web UI
Tested on Debian 11 (Bullseye)
################################################################
################################################################
Running on philip user
################################################################
################################################################
Repo already cloned, using it as install directory
################################################################
################################################################
python venv already activate or run without venv: /home/philip/sd_env
################################################################
################################################################
Launching launch.py...
################################################################
Cannot locate TCMalloc (improves CPU memory usage)
fatal: No names found, cannot describe anything.
Python 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]
Version: 1.6.0
Commit hash: 5d2f2d566a59cea66415d5819cf81e3a41d899bb
Installing requirements
Launching Web UI with arguments: --skip-torch-cuda-test --precision full --no-half --listen
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
Warning: caught exception 'Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx', memory monitor disabled
Loading weights [6ce0161689] from /mnt/philip/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
Running on local URL: http://0.0.0.0:7860
To create a public link, set `share=True` in `launch()`.
Startup time: 39.3s (prepare environment: 21.2s, import torch: 5.7s, import gradio: 2.0s, setup paths: 2.2s, initialize shared: 0.2s, other imports: 2.0s, setup codeformer: 0.3s, load scripts: 4.3s, create ui: 0.9s, gradio launch: 0.3s).
Creating model from config: /mnt/philip/stable-diffusion-webui/configs/v1-inference.yaml
Applying attention optimization: InvokeAI... done.
Model loaded in 8.9s (load weights from disk: 2.0s, create model: 2.0s, apply weights to model: 4.7s, calculate empty prompt: 0.1s).
[W NNPACK.cpp:64] Could not initialize NNPACK! Reason: Unsupported hardware.
Loading weights [6ce0161689] from /mnt/philip/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.safetensors
OpenVINO Script: created model from config : /mnt/philip/stable-diffusion-webui/configs/v1-inference.yaml
/home/philip/sd_env/lib/python3.10/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.
warnings.warn(
0%| | 0/20 [00:00<?, ?it/s][2023-10-20 14:25:20,457] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:20,835] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/conv.py <function Conv2d.forward at 0x7f13a5fe5c60> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:21,080] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:21,276] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:21,965] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:22,147] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:26,705] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:26,980] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:27,060] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:30,433] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:30,693] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:30,890] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:33,269] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional arguments
[2023-10-20 14:25:33,575] torch._dynamo.symbolic_convert: [WARNING] /home/philip/sd_env/lib/python3.10/site-packages/torch/nn/modules/linear.py <function Linear.forward at 0x7f13a5fe4700> [UserDefinedObjectVariable(LoraPatches), NNModuleVariable(), TensorVariable()] {} too many positional argumentsand the output is still a random blobby image.
Complete pip freeze:
open-clip-torch==2.20.0
pytorch-lightning==1.9.4
torch==2.0.1
torchdiffeq==0.2.3
torchmetrics==1.2.0
torchsde==0.2.5
torchvision==0.15.2
(sd_env) philip@jupiter:~$ pip freeze
absl-py==2.0.0
accelerate==0.21.0
addict==2.4.0
aenum==3.1.15
aiofiles==23.2.1
aiohttp==3.8.6
aiosignal==1.3.1
altair==5.1.2
antlr4-python3-runtime==4.9.3
anyio==3.7.1
async-timeout==4.0.3
attrs==23.1.0
basicsr==1.4.2
beautifulsoup4==4.12.2
blendmodes==2022
boltons==23.0.0
cachetools==5.3.1
certifi==2023.7.22
charset-normalizer==3.3.0
clean-fid==0.1.35
click==8.1.7
clip==1.0
cmake==3.27.7
contourpy==1.1.1
cycler==0.12.1
deprecation==2.1.0
diffusers==0.21.1
einops==0.4.1
exceptiongroup==1.1.3
facexlib==0.3.0
fastapi==0.94.0
ffmpy==0.3.1
filelock==3.12.4
filterpy==1.4.5
fonttools==4.43.1
frozenlist==1.4.0
fsspec==2023.9.2
ftfy==6.1.1
future==0.18.3
gdown==4.7.1
gfpgan==1.3.8
gitdb==4.0.10
GitPython==3.1.34
google-auth==2.23.3
google-auth-oauthlib==1.1.0
gradio==3.41.2
gradio_client==0.5.0
grpcio==1.59.0
h11==0.12.0
httpcore==0.15.0
httpx==0.24.1
huggingface-hub==0.18.0
idna==3.4
imageio==2.31.5
importlib-metadata==6.8.0
importlib-resources==6.1.0
inflection==0.5.1
invisible-watermark==0.2.0
Jinja2==3.1.2
jsonmerge==1.8.0
jsonschema==4.19.1
jsonschema-specifications==2023.7.1
kiwisolver==1.4.5
kornia==0.6.7
lark==1.1.2
lazy_loader==0.3
lightning-utilities==0.9.0
lit==17.0.3
llvmlite==0.41.0
lmdb==1.4.1
lpips==0.1.4
Markdown==3.5
MarkupSafe==2.1.3
matplotlib==3.8.0
mpmath==1.3.0
multidict==6.0.4
networkx==3.2
numba==0.58.0
numpy==1.23.5
nvidia-cublas-cu11==11.10.3.66
nvidia-cuda-cupti-cu11==11.7.101
nvidia-cuda-nvrtc-cu11==11.7.99
nvidia-cuda-runtime-cu11==11.7.99
nvidia-cudnn-cu11==8.5.0.96
nvidia-cufft-cu11==10.9.0.58
nvidia-curand-cu11==10.2.10.91
nvidia-cusolver-cu11==11.4.0.1
nvidia-cusparse-cu11==11.7.4.91
nvidia-nccl-cu11==2.14.3
nvidia-nvtx-cu11==11.7.91
oauthlib==3.2.2
omegaconf==2.2.3
open-clip-torch==2.20.0
opencv-python==4.8.1.78
openvino==2023.1.0.dev20230811
openvino-telemetry==2023.2.0
orjson==3.9.9
packaging==23.2
pandas==2.1.1
piexif==1.1.3
Pillow==9.5.0
platformdirs==3.11.0
protobuf==3.20.0
psutil==5.9.5
pyasn1==0.5.0
pyasn1-modules==0.3.0
pydantic==1.10.13
pydub==0.25.1
pyparsing==3.1.1
PySocks==1.7.1
python-dateutil==2.8.2
python-multipart==0.0.6
pytorch-lightning==1.9.4
pytz==2023.3.post1
PyWavelets==1.4.1
PyYAML==6.0.1
realesrgan==0.3.0
referencing==0.30.2
regex==2023.10.3
requests==2.31.0
requests-oauthlib==1.3.1
resize-right==0.0.2
rpds-py==0.10.6
rsa==4.9
safetensors==0.3.1
scikit-image==0.21.0
scipy==1.11.3
semantic-version==2.10.0
sentencepiece==0.1.99
six==1.16.0
smmap==5.0.1
sniffio==1.3.0
soupsieve==2.5
starlette==0.26.1
sympy==1.12
tb-nightly==2.15.0a20231016
tensorboard-data-server==0.7.1
tifffile==2023.9.26
timm==0.9.2
tokenizers==0.13.3
tomesd==0.1.3
tomli==2.0.1
toolz==0.12.0
torch==2.0.1
torchdiffeq==0.2.3
torchmetrics==1.2.0
torchsde==0.2.5
torchvision==0.15.2
tqdm==4.66.1
trampoline==0.1.2
transformers==4.30.2
triton==2.0.0
typing_extensions==4.8.0
tzdata==2023.3
urllib3==2.0.7
uvicorn==0.23.2
wcwidth==0.2.8
websockets==11.0.3
Werkzeug==3.0.0
yapf==0.40.2
yarl==1.9.2
zipp==3.17.0@qiacheng Can you post a complete pip freeze that works?
oscarbg
commented
1 year ago same issue!
pjsg
commented
1 year ago Acutally, just a note to say that my installation works if I don't use openvino and just use the regular CPU.
oscarbg
commented
1 year ago same for me..
J4ckTh3R1pper
commented
1 year ago same for me in latest master, on Gentoo Linux 6.5.5 kernel with A750 graphics, I have to use a earlier commit to make GPU work my sysinfo: sysinfo-2023-10-24-12-07.txt my pip list: pip_list.txt
my advice is go and try commit 10190ac in September, it worked great but sometime it throws bunch of errors while warming up, after that it runs great.
qiacheng
commented
1 year ago @cavusmustafa could you help ? my envs are on windows and this seems like related to older torch packages incompatible with openvino 23.1 on Linux
ynimmaga
commented
1 year ago Hi, below is a configuration that worked for me on Linux:
Torch == 2.0.1 OpenVINO == 2023.1.0
However, it seems like that the workflow breaks with Lora extension enabled. If Lora is not important for you, you can disable the built-in extension temporarily to successfully generate images. This can be done by navigating to 'Extensions' on WebUI and unchecking the 'Lora' extension. The WebUI needs to be restarted once for the change to take effect.
We are working on fixes for getting this work with Torch 2.1.0, that will resolve this issue. Please stay tuned.
qiacheng
commented
1 year ago openvino nightly package with fixes is out. please do the following
\venv\scripts\python -m pip uninstall openvino \venv\scripts\python -m pip install torch==2.1.0 torchvision==0.16.0 openvino-nightly
oscarbg
commented
1 year ago I'm in bad luck using this instructions.. note using (Python 3.11) I forced cpu only: pip3 install torch==2.1.0 torchvision==0.16.0 --index-url https://download.pytorch.org/whl/cpu
now fails building model: pip list: openvino-nightly 2023.2.0.dev20231102 torch 2.1.0+cpu torchvision 0.16.0+cpu
log:
** Error completing request
*** Arguments: ('task(cx47kghlluo8b5s)', 'cat', '', [], 20, 'DPM++ 2M Karras', 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], <gradio.routes.Request object at 0x7f4236c469d0>, 1, False, '', 0.8, -1, False, -1, 0, 0, 0, 'None', 'None', 'CPU', True, 'Euler a', True, False, 'None', 0.8, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, False) {}
Traceback (most recent call last):
File "/home/osqui/stable/intel/stable-diffusion-webui/modules/call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/stable-diffusion-webui/modules/call_queue.py", line 36, in f
res = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/stable-diffusion-webui/modules/txt2img.py", line 52, in txt2img
processed = modules.scripts.scripts_txt2img.run(p, *args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/stable-diffusion-webui/modules/scripts.py", line 601, in run
processed = script.run(p, *script_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/stable-diffusion-webui/scripts/openvino_accelerate.py", line 1212, in run
processed = process_images_openvino(p, model_config, vae_ckpt, p.sampler_name, enable_caching, openvino_device, mode, is_xl_ckpt, refiner_ckpt, refiner_frac)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/stable-diffusion-webui/scripts/openvino_accelerate.py", line 963, in process_images_openvino
output = shared.sd_diffusers_model(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py", line 680, in __call__
noise_pred = self.unet(
^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 328, in _fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 490, in catch_errors
return callback(frame, cache_entry, hooks, frame_state)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 641, in _convert_frame
result = inner_convert(frame, cache_size, hooks, frame_state)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 133, in _fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 389, in _convert_frame_assert
return _compile(
^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 569, in _compile
guarded_code = compile_inner(code, one_graph, hooks, transform)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/utils.py", line 189, in time_wrapper
r = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 491, in compile_inner
out_code = transform_code_object(code, transform)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/bytecode_transformation.py", line 1028, in transform_code_object
transformations(instructions, code_options)
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/convert_frame.py", line 458, in transform
tracer.run()
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 2074, in run
super().run()
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 724, in run
and self.step()
^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 688, in step
getattr(self, inst.opname)(inst)
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/symbolic_convert.py", line 2162, in RETURN_VALUE
self.output.compile_subgraph(
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/output_graph.py", line 857, in compile_subgraph
self.compile_and_call_fx_graph(tx, pass2.graph_output_vars(), root)
File "/usr/lib/python3.11/contextlib.py", line 81, in inner
return func(*args, **kwds)
^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/output_graph.py", line 957, in compile_and_call_fx_graph
compiled_fn = self.call_user_compiler(gm)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/utils.py", line 189, in time_wrapper
r = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/output_graph.py", line 1024, in call_user_compiler
raise BackendCompilerFailed(self.compiler_fn, e).with_traceback(
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/output_graph.py", line 1009, in call_user_compiler
compiled_fn = compiler_fn(gm, self.example_inputs())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/repro/after_dynamo.py", line 117, in debug_wrapper
compiled_gm = compiler_fn(gm, example_inputs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/__init__.py", line 1607, in __call__
return self.compiler_fn(model_, inputs_, **self.kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/backends/common.py", line 95, in wrapper
return fn(model, inputs, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/stable-diffusion-webui/scripts/openvino_accelerate.py", line 217, in openvino_fx
return compile_fx(subgraph, example_inputs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_inductor/compile_fx.py", line 1150, in compile_fx
return aot_autograd(
^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/backends/common.py", line 55, in compiler_fn
cg = aot_module_simplified(gm, example_inputs, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 3891, in aot_module_simplified
compiled_fn = create_aot_dispatcher_function(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_dynamo/utils.py", line 189, in time_wrapper
r = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 3379, in create_aot_dispatcher_function
fw_metadata = run_functionalized_fw_and_collect_metadata(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 757, in inner
flat_f_outs = f(*flat_f_args)
^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_functorch/aot_autograd.py", line 3496, in functional_call
out = Interpreter(mod).run(*args[params_len:], **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/fx/interpreter.py", line 138, in run
self.env[node] = self.run_node(node)
^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/fx/interpreter.py", line 195, in run_node
return getattr(self, n.op)(n.target, args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/fx/interpreter.py", line 312, in call_module
return submod(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/stable-diffusion-webui/extensions-builtin/Lora/networks.py", line 444, in network_Conv2d_forward
return originals.Conv2d_forward(self, input)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 460, in forward
return self._conv_forward(input, self.weight, self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/nn/modules/conv.py", line 456, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/utils/_stats.py", line 20, in wrapper
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_subclasses/fake_tensor.py", line 1250, in __torch_dispatch__
return self.dispatch(func, types, args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_subclasses/fake_tensor.py", line 1487, in dispatch
op_impl_out = op_impl(self, func, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/torch/_subclasses/fake_tensor.py", line 677, in conv
conv_backend = torch._C._select_conv_backend(**kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
torch._dynamo.exc.BackendCompilerFailed: backend='openvino_fx' raised:
RuntimeError: Given groups=1, weight of size [320, 4, 3, 3], expected input[1, 2, 77, 768] to have 4 channels, but got 2 channels instead
While executing %l__self___conv_in : [num_users=3] = call_module[target=L__self___conv_in](args = (%l_sample_,), kwargs = {})
Original traceback:
File "/home/osqui/stable/intel/sd_env/lib/python3.11/site-packages/diffusers/models/unet_2d_condition.py", line 934, in forward
sample = self.conv_in(sample)
Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information
You can suppress this exception and fall back to eager by setting:
import torch._dynamo
torch._dynamo.config.suppress_errors = True
please use python 3.10 as A1111 SD WebUI requires python 3.10, also delete cache folder in stable-diffusion-webui directory if it exists
oscarbg
commented
1 year ago switched to Python 3.10 and was seeing same error.. but deleting the cache folder fixed all and now all works! thanks!! can close now.. wondering if Python 3.11 should have worked also if deleting cache folder..
qiacheng
commented
1 year ago np, this is an ongoing project and there are a lot of things that can be improved. Thanks for being a part of this journey.
Is there an existing issue for this?
What happened?
I followed the installation instructions to install the openvino flavor for the webui on a clean Ubuntu 22.03 LTS system (I used a clean server install to make sure that it wasn't any incompatibility between something I had installed before). This is an 8-core Intel box with 32GB RAM on it.
The only change that I made was to add
--listento the command line options so I could access the server remotely.When I try and generate an image, I get lots of the following error reported on the terminal where I started the webui process:
This looks like some type of version skew between something and something else -- but I don't really know what to even start looking at. My generation webpage is show below.
Steps to reproduce the problem
What should have happened?
I should have got a plausible image.
Sysinfo
sysinfo-2023-10-19-01-55.txt
What browsers do you use to access the UI ?
Google Chrome
Console logs
Additional information
No response