Open vadi2 opened 1 year ago
I'm not having luck running any of the Gradio apps out of the box - what could be wrong?
$ conda env create -f environment.yaml Retrieving notices: ...working... done Collecting package metadata (repodata.json): done Solving environment: done ==> WARNING: A newer version of conda exists. <== current version: 22.11.1 latest version: 23.1.0 Please update conda by running $ conda update -n base -c defaults conda Or to minimize the number of packages updated during conda update use conda install conda=23.1.0 Downloading and Extracting Packages torchvision-0.13.1 | 28.7 MB | ############################################################################################################################################################## | 100% Preparing transaction: done Verifying transaction: done Executing transaction: \ By downloading and using the CUDA Toolkit conda packages, you accept the terms and conditions of the CUDA End User License Agreement (EULA): https://docs.nvidia.com/cuda/eula/index.html done Installing pip dependencies: / Ran pip subprocess with arguments: ['/home/vadi/Programs/miniconda3/envs/control/bin/python', '-m', 'pip', 'install', '-U', '-r', '/media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt', '--exists-action=b'] Pip subprocess output: Collecting addict==2.4.0 Using cached addict-2.4.0-py3-none-any.whl (3.8 kB) Collecting albumentations==1.3.0 Using cached albumentations-1.3.0-py3-none-any.whl (123 kB) Requirement already satisfied: numpy>=1.11.1 in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from albumentations==1.3.0->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 2)) (1.23.1) Collecting basicsr==1.4.2 Using cached basicsr-1.4.2-py3-none-any.whl Requirement already satisfied: torchvision in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from basicsr==1.4.2->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 23)) (0.13.1) Requirement already satisfied: torch>=1.7 in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from basicsr==1.4.2->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 23)) (1.12.1) Requirement already satisfied: requests in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from basicsr==1.4.2->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 23)) (2.28.1) Requirement already satisfied: Pillow in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from basicsr==1.4.2->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 23)) (9.3.0) Collecting einops==0.3.0 Downloading einops-0.3.0-py2.py3-none-any.whl (25 kB) Collecting gradio==3.16.2 Downloading gradio-3.16.2-py3-none-any.whl (14.2 MB) Requirement already satisfied: typing-extensions in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from gradio==3.16.2->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 1)) (4.4.0) Collecting imageio==2.9.0 Downloading imageio-2.9.0-py3-none-any.whl (3.3 MB) Collecting imageio-ffmpeg==0.4.2 Downloading imageio_ffmpeg-0.4.2-py3-none-manylinux2010_x86_64.whl (26.9 MB) Collecting kornia==0.6 Downloading kornia-0.6.0-py2.py3-none-any.whl (367 kB) Collecting omegaconf==2.1.1 Downloading omegaconf-2.1.1-py3-none-any.whl (74 kB) Collecting open_clip_torch==2.0.2 Downloading open_clip_torch-2.0.2-py3-none-any.whl (1.4 MB) Collecting opencv-contrib-python==4.3.0.36 Downloading opencv_contrib_python-4.3.0.36-cp38-cp38-manylinux2014_x86_64.whl (49.9 MB) Collecting prettytable==3.6.0 Using cached prettytable-3.6.0-py3-none-any.whl (27 kB) Collecting pytorch-lightning==1.5.0 Downloading pytorch_lightning-1.5.0-py3-none-any.whl (1.0 MB) Collecting safetensors==0.2.7 Downloading safetensors-0.2.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB) Collecting streamlit==1.12.1 Downloading streamlit-1.12.1-py2.py3-none-any.whl (9.1 MB) Collecting streamlit-drawable-canvas==0.8.0 Downloading streamlit_drawable_canvas-0.8.0-py3-none-any.whl (1.3 MB) Collecting timm==0.6.12 Using cached timm-0.6.12-py3-none-any.whl (549 kB) Collecting torchmetrics==0.6.0 Downloading torchmetrics-0.6.0-py3-none-any.whl (329 kB) Collecting transformers==4.19.2 Downloading transformers-4.19.2-py3-none-any.whl (4.2 MB) Collecting webdataset==0.2.5 Downloading webdataset-0.2.5-py3-none-any.whl (46 kB) Collecting yapf==0.32.0 Using cached yapf-0.32.0-py2.py3-none-any.whl (190 kB) Collecting antlr4-python3-runtime==4.8 Downloading antlr4-python3-runtime-4.8.tar.gz (112 kB) Collecting pyDeprecate==0.3.1 Downloading pyDeprecate-0.3.1-py3-none-any.whl (10 kB) Collecting invisible-watermark>=0.1.5 Using cached invisible_watermark-0.1.5-py3-none-any.whl (1.6 MB) Collecting test-tube>=0.7.5 Using cached test_tube-0.7.5-py3-none-any.whl Collecting altair>=4.2.0 Using cached altair-4.2.2-py3-none-any.whl (813 kB) Collecting blinker>=1.0.0 Using cached blinker-1.5-py2.py3-none-any.whl (12 kB) Collecting cachetools>=4.0 Using cached cachetools-5.3.0-py3-none-any.whl (9.3 kB) Collecting click>=7.0 Using cached click-8.1.3-py3-none-any.whl (96 kB) Collecting fsspec Using cached fsspec-2023.1.0-py3-none-any.whl (143 kB) Collecting aiohttp Using cached aiohttp-3.8.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB) Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from aiohttp->gradio==3.16.2->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 1)) (2.0.4) Collecting aiosignal>=1.1.2 Using cached aiosignal-1.3.1-py3-none-any.whl (7.6 kB) Collecting async-timeout<5.0,>=4.0.0a3 Using cached async_timeout-4.0.2-py3-none-any.whl (5.8 kB) Collecting attrs>=17.3.0 Using cached attrs-22.2.0-py3-none-any.whl (60 kB) Collecting frozenlist>=1.1.1 Using cached frozenlist-1.3.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (161 kB) Collecting future Using cached future-0.18.3-py3-none-any.whl Collecting gitpython!=3.1.19 Using cached GitPython-3.1.31-py3-none-any.whl (184 kB) Collecting gitdb<5,>=4.0.1 Using cached gitdb-4.0.10-py3-none-any.whl (62 kB) Collecting huggingface-hub Using cached huggingface_hub-0.12.1-py3-none-any.whl (190 kB) Collecting importlib-metadata>=1.4 Using cached importlib_metadata-6.0.0-py3-none-any.whl (21 kB) Collecting jsonschema>=3.0 Using cached jsonschema-4.17.3-py3-none-any.whl (90 kB) Collecting importlib-resources>=1.4.0 Using cached importlib_resources-5.12.0-py3-none-any.whl (36 kB) Collecting multidict<7.0,>=4.5 Using cached multidict-6.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (121 kB) Collecting opencv-python Using cached opencv_python-4.7.0.72-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.8 MB) Collecting opencv-python-headless>=4.1.1 Using cached opencv_python_headless-4.7.0.72-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (49.2 MB) Collecting packaging Using cached packaging-23.0-py3-none-any.whl (42 kB) Collecting pandas Using cached pandas-1.5.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.2 MB) Collecting pkgutil-resolve-name>=1.3.10 Using cached pkgutil_resolve_name-1.3.10-py3-none-any.whl (4.7 kB) Collecting protobuf<4,>=3.12 Using cached protobuf-3.20.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.0 MB) Collecting pyarrow>=4.0 Downloading pyarrow-11.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (35.0 MB) Collecting pydeck>=0.1.dev5 Using cached pydeck-0.8.0-py2.py3-none-any.whl (4.7 MB) Collecting jinja2 Using cached Jinja2-3.1.2-py3-none-any.whl (133 kB) Collecting markupsafe Using cached MarkupSafe-2.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB) Collecting pympler>=0.9 Using cached Pympler-1.0.1-py3-none-any.whl (164 kB) Collecting pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 Using cached pyrsistent-0.19.3-py3-none-any.whl (57 kB) Collecting python-dateutil Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) Requirement already satisfied: six>=1.5 in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from python-dateutil->streamlit==1.12.1->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 9)) (1.16.0) Collecting pytz>=2020.1 Using cached pytz-2022.7.1-py2.py3-none-any.whl (499 kB) Collecting PyWavelets>=1.1.1 Downloading PyWavelets-1.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.9 MB) Collecting PyYAML Downloading PyYAML-6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (701 kB) Collecting qudida>=0.0.4 Using cached qudida-0.0.4-py3-none-any.whl (3.5 kB) Collecting regex Using cached regex-2022.10.31-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (772 kB) Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from requests->basicsr==1.4.2->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 23)) (1.26.14) Requirement already satisfied: idna<4,>=2.5 in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from requests->basicsr==1.4.2->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 23)) (3.4) Requirement already satisfied: certifi>=2017.4.17 in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from requests->basicsr==1.4.2->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 23)) (2022.12.7) Collecting rich>=10.11.0 Using cached rich-13.3.1-py3-none-any.whl (239 kB) Collecting markdown-it-py[linkify,plugins] Using cached markdown_it_py-2.2.0-py3-none-any.whl (84 kB) Collecting mdurl~=0.1 Using cached mdurl-0.1.2-py3-none-any.whl (10.0 kB) Collecting pygments<3.0.0,>=2.14.0 Using cached Pygments-2.14.0-py3-none-any.whl (1.1 MB) Collecting scikit-image>=0.16.1 Using cached scikit_image-0.19.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.0 MB) Collecting networkx>=2.2 Using cached networkx-3.0-py3-none-any.whl (2.0 MB) Collecting scikit-learn>=0.19.1 Using cached scikit_learn-1.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.8 MB) Collecting joblib>=1.1.1 Using cached joblib-1.2.0-py3-none-any.whl (297 kB) Collecting scipy Downloading scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB) Collecting smmap<6,>=3.0.1 Using cached smmap-5.0.0-py3-none-any.whl (24 kB) Collecting tensorboard>=2.2.0 Using cached tensorboard-2.12.0-py3-none-any.whl (5.6 MB) Requirement already satisfied: wheel>=0.26 in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from tensorboard>=2.2.0->pytorch-lightning==1.5.0->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 6)) (0.38.4) Requirement already satisfied: setuptools>=41.0.0 in /home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages (from tensorboard>=2.2.0->pytorch-lightning==1.5.0->-r /media/vadi/SSDer/Programs/ControlNet/condaenv.v1jw_k4f.requirements.txt (line 6)) (65.6.3) Collecting absl-py>=0.4 Using cached absl_py-1.4.0-py3-none-any.whl (126 kB) Collecting google-auth<3,>=1.6.3 Using cached google_auth-2.16.1-py2.py3-none-any.whl (177 kB) Collecting google-auth-oauthlib<0.5,>=0.4.1 Using cached google_auth_oauthlib-0.4.6-py2.py3-none-any.whl (18 kB) Collecting grpcio>=1.48.2 Downloading grpcio-1.51.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB) Collecting markdown>=2.6.8 Using cached Markdown-3.4.1-py3-none-any.whl (93 kB) Collecting pyasn1-modules>=0.2.1 Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB) Collecting pyasn1<0.5.0,>=0.4.6 Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB) Collecting requests-oauthlib>=0.7.0 Using cached requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB) Collecting oauthlib>=3.0.0 Using cached oauthlib-3.2.2-py3-none-any.whl (151 kB) Collecting rsa<5,>=3.1.4 Using cached rsa-4.9-py3-none-any.whl (34 kB) Collecting tensorboard-data-server<0.8.0,>=0.7.0 Using cached tensorboard_data_server-0.7.0-py3-none-manylinux2014_x86_64.whl (6.6 MB) Collecting tensorboard-plugin-wit>=1.6.0 Using cached tensorboard_plugin_wit-1.8.1-py3-none-any.whl (781 kB) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Collecting tifffile>=2019.7.26 Using cached tifffile-2023.2.3-py3-none-any.whl (215 kB) Collecting tokenizers!=0.11.3,<0.13,>=0.11.1 Downloading tokenizers-0.12.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.6 MB) Collecting tornado>=5.0 Using cached tornado-6.2-cp37-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (423 kB) Collecting tqdm Using cached tqdm-4.64.1-py2.py3-none-any.whl (78 kB) Collecting tzlocal>=1.1 Using cached tzlocal-4.2-py3-none-any.whl (19 kB) Collecting validators>=0.2 Using cached validators-0.20.0.tar.gz (30 kB) Collecting decorator>=3.4.0 Using cached decorator-5.1.1-py3-none-any.whl (9.1 kB) Collecting websockets>=10.0 Using cached websockets-10.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (106 kB) Collecting werkzeug>=1.0.1 Using cached Werkzeug-2.2.3-py3-none-any.whl (233 kB) Collecting yarl<2.0,>=1.0 Using cached yarl-1.8.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (262 kB) Collecting zipp>=0.5 Using cached zipp-3.14.0-py3-none-any.whl (6.7 kB) Collecting aiofiles Using cached aiofiles-23.1.0-py3-none-any.whl (14 kB) Collecting backports.zoneinfo Downloading backports.zoneinfo-0.2.1-cp38-cp38-manylinux1_x86_64.whl (74 kB) Collecting braceexpand Using cached braceexpand-0.1.7-py2.py3-none-any.whl (5.9 kB) Collecting entrypoints Using cached entrypoints-0.4-py3-none-any.whl (5.3 kB) Collecting fastapi Using cached fastapi-0.92.0-py3-none-any.whl (56 kB) Collecting pydantic Using cached pydantic-1.10.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB) Collecting starlette<0.26.0,>=0.25.0 Using cached starlette-0.25.0-py3-none-any.whl (66 kB) Collecting anyio<5,>=3.4.0 Using cached anyio-3.6.2-py3-none-any.whl (80 kB) Collecting sniffio>=1.1 Using cached sniffio-1.3.0-py3-none-any.whl (10 kB) Collecting ffmpy Using cached ffmpy-0.3.0-py3-none-any.whl Collecting filelock Using cached filelock-3.9.0-py3-none-any.whl (9.7 kB) Collecting ftfy Using cached ftfy-6.1.1-py3-none-any.whl (53 kB) Collecting wcwidth Using cached wcwidth-0.2.6-py2.py3-none-any.whl (29 kB) Collecting httpx Using cached httpx-0.23.3-py3-none-any.whl (71 kB) Collecting httpcore<0.17.0,>=0.15.0 Using cached httpcore-0.16.3-py3-none-any.whl (69 kB) Collecting h11<0.15,>=0.13 Using cached h11-0.14.0-py3-none-any.whl (58 kB) Collecting rfc3986[idna2008]<2,>=1.3 Using cached rfc3986-1.5.0-py2.py3-none-any.whl (31 kB) Collecting lmdb Using cached lmdb-1.4.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (306 kB) Collecting linkify-it-py<3,>=1 Using cached linkify_it_py-2.0.0-py3-none-any.whl (19 kB) Collecting matplotlib Using cached matplotlib-3.7.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (9.2 MB) Collecting contourpy>=1.0.1 Using cached contourpy-1.0.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (300 kB) Collecting cycler>=0.10 Using cached cycler-0.11.0-py3-none-any.whl (6.4 kB) Collecting fonttools>=4.22.0 Using cached fonttools-4.38.0-py3-none-any.whl (965 kB) Collecting kiwisolver>=1.0.1 Using cached kiwisolver-1.4.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.2 MB) Collecting pyparsing>=2.3.1 Using cached pyparsing-3.0.9-py3-none-any.whl (98 kB) Collecting mdit-py-plugins Downloading mdit_py_plugins-0.3.4-py3-none-any.whl (52 kB) Collecting onnx Downloading onnx-1.13.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.5 MB) Collecting onnxruntime Downloading onnxruntime-1.14.0-cp38-cp38-manylinux_2_27_x86_64.whl (5.0 MB) Collecting coloredlogs Using cached coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB) Collecting humanfriendly>=9.1 Using cached humanfriendly-10.0-py2.py3-none-any.whl (86 kB) Collecting flatbuffers Using cached flatbuffers-23.1.21-py2.py3-none-any.whl (26 kB) Collecting orjson Using cached orjson-3.8.6-cp38-cp38-manylinux_2_28_x86_64.whl (140 kB) Collecting pycryptodome Using cached pycryptodome-3.17-cp35-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB) Collecting pydub Using cached pydub-0.25.1-py2.py3-none-any.whl (32 kB) Collecting python-multipart Using cached python_multipart-0.0.5-py3-none-any.whl Collecting pytz-deprecation-shim Using cached pytz_deprecation_shim-0.1.0.post0-py2.py3-none-any.whl (15 kB) Collecting semver Using cached semver-2.13.0-py2.py3-none-any.whl (12 kB) Collecting sympy Using cached sympy-1.11.1-py3-none-any.whl (6.5 MB) Collecting mpmath>=0.19 Using cached mpmath-1.2.1-py3-none-any.whl (532 kB) Collecting tb-nightly Using cached tb_nightly-2.13.0a20230221-py3-none-any.whl (5.6 MB) Collecting toml Using cached toml-0.10.2-py2.py3-none-any.whl (16 kB) Collecting toolz Using cached toolz-0.12.0-py3-none-any.whl (55 kB) Collecting tzdata Using cached tzdata-2022.7-py2.py3-none-any.whl (340 kB) Collecting uc-micro-py Using cached uc_micro_py-1.0.1-py3-none-any.whl (6.2 kB) Collecting uvicorn Using cached uvicorn-0.20.0-py3-none-any.whl (56 kB) Collecting watchdog Using cached watchdog-2.2.1-py3-none-manylinux2014_x86_64.whl (78 kB) Building wheels for collected packages: antlr4-python3-runtime, validators Building wheel for antlr4-python3-runtime (setup.py): started Building wheel for antlr4-python3-runtime (setup.py): finished with status 'done' Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.8-py3-none-any.whl size=141211 sha256=63a89d3266968bf523795133dacd7d6aba61a0caa08d07f499c1b5192667748a Stored in directory: /home/vadi/.cache/pip/wheels/c8/d0/ab/d43c02eaddc5b9004db86950802442ad9a26f279c619e28da0 Building wheel for validators (setup.py): started Building wheel for validators (setup.py): finished with status 'done' Created wheel for validators: filename=validators-0.20.0-py3-none-any.whl size=19581 sha256=58056f36cfd1f758731771e1bb4fd234a093334d7bb6def344b2a151d4e0d1f3 Stored in directory: /home/vadi/.cache/pip/wheels/19/09/72/3eb74d236bb48bd0f3c6c3c83e4e0c5bbfcbcad7c6c3539db8 Successfully built antlr4-python3-runtime validators Installing collected packages: zipp, pyasn1, tzdata, sniffio, smmap, rsa, pytz, python-dateutil, pyrsistent, pyasn1-modules, pkgutil-resolve-name, oauthlib, multidict, mdurl, markupsafe, importlib-resources, frozenlist, cachetools, backports.zoneinfo, attrs, yarl, uc-micro-py, toolz, threadpoolctl, scipy, rfc3986, requests-oauthlib, pytz-deprecation-shim, pygments, pandas, mpmath, markdown-it-py, jsonschema, joblib, jinja2, importlib-metadata, humanfriendly, h11, google-auth, gitdb, entrypoints, decorator, async-timeout, anyio, aiosignal, werkzeug, wcwidth, watchdog, validators, tzlocal, tqdm, tornado, toml, tifffile, tensorboard-plugin-wit, tensorboard-data-server, sympy, starlette, semver, scikit-learn, rich, PyYAML, PyWavelets, pyparsing, pympler, pydeck, pydantic, pyarrow, protobuf, packaging, opencv-python-headless, networkx, mdit-py-plugins, markdown, linkify-it-py, kiwisolver, imageio, httpcore, grpcio, google-auth-oauthlib, gitpython, fsspec, fonttools, flatbuffers, filelock, cycler, contourpy, coloredlogs, click, blinker, altair, aiohttp, absl-py, yapf, websockets, uvicorn, torchmetrics, tokenizers, tensorboard, tb-nightly, streamlit, scikit-image, regex, qudida, python-multipart, pydub, pyDeprecate, pycryptodome, orjson, opencv-python, onnxruntime, onnx, matplotlib, lmdb, huggingface-hub, httpx, future, ftfy, ffmpy, fastapi, braceexpand, antlr4-python3-runtime, aiofiles, addict, webdataset, transformers, timm, test-tube, streamlit-drawable-canvas, safetensors, pytorch-lightning, prettytable, opencv-contrib-python, open-clip-torch, omegaconf, kornia, invisible-watermark, imageio-ffmpeg, gradio, einops, basicsr, albumentations Successfully installed PyWavelets-1.4.1 PyYAML-6.0 absl-py-1.4.0 addict-2.4.0 aiofiles-23.1.0 aiohttp-3.8.4 aiosignal-1.3.1 albumentations-1.3.0 altair-4.2.2 antlr4-python3-runtime-4.8 anyio-3.6.2 async-timeout-4.0.2 attrs-22.2.0 backports.zoneinfo-0.2.1 basicsr-1.4.2 blinker-1.5 braceexpand-0.1.7 cachetools-5.3.0 click-8.1.3 coloredlogs-15.0.1 contourpy-1.0.7 cycler-0.11.0 decorator-5.1.1 einops-0.3.0 entrypoints-0.4 fastapi-0.92.0 ffmpy-0.3.0 filelock-3.9.0 flatbuffers-23.1.21 fonttools-4.38.0 frozenlist-1.3.3 fsspec-2023.1.0 ftfy-6.1.1 future-0.18.3 gitdb-4.0.10 gitpython-3.1.31 google-auth-2.16.1 google-auth-oauthlib-0.4.6 gradio-3.16.2 grpcio-1.51.3 h11-0.14.0 httpcore-0.16.3 httpx-0.23.3 huggingface-hub-0.12.1 humanfriendly-10.0 imageio-2.9.0 imageio-ffmpeg-0.4.2 importlib-metadata-6.0.0 importlib-resources-5.12.0 invisible-watermark-0.1.5 jinja2-3.1.2 joblib-1.2.0 jsonschema-4.17.3 kiwisolver-1.4.4 kornia-0.6.0 linkify-it-py-2.0.0 lmdb-1.4.0 markdown-3.4.1 markdown-it-py-2.2.0 markupsafe-2.1.2 matplotlib-3.7.0 mdit-py-plugins-0.3.4 mdurl-0.1.2 mpmath-1.2.1 multidict-6.0.4 networkx-3.0 oauthlib-3.2.2 omegaconf-2.1.1 onnx-1.13.1 onnxruntime-1.14.0 open-clip-torch-2.0.2 opencv-contrib-python-4.3.0.36 opencv-python-4.7.0.72 opencv-python-headless-4.7.0.72 orjson-3.8.6 packaging-23.0 pandas-1.5.3 pkgutil-resolve-name-1.3.10 prettytable-3.6.0 protobuf-3.20.3 pyDeprecate-0.3.1 pyarrow-11.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycryptodome-3.17 pydantic-1.10.5 pydeck-0.8.0 pydub-0.25.1 pygments-2.14.0 pympler-1.0.1 pyparsing-3.0.9 pyrsistent-0.19.3 python-dateutil-2.8.2 python-multipart-0.0.5 pytorch-lightning-1.5.0 pytz-2022.7.1 pytz-deprecation-shim-0.1.0.post0 qudida-0.0.4 regex-2022.10.31 requests-oauthlib-1.3.1 rfc3986-1.5.0 rich-13.3.1 rsa-4.9 safetensors-0.2.7 scikit-image-0.19.3 scikit-learn-1.2.1 scipy-1.10.1 semver-2.13.0 smmap-5.0.0 sniffio-1.3.0 starlette-0.25.0 streamlit-1.12.1 streamlit-drawable-canvas-0.8.0 sympy-1.11.1 tb-nightly-2.13.0a20230221 tensorboard-2.12.0 tensorboard-data-server-0.7.0 tensorboard-plugin-wit-1.8.1 test-tube-0.7.5 threadpoolctl-3.1.0 tifffile-2023.2.3 timm-0.6.12 tokenizers-0.12.1 toml-0.10.2 toolz-0.12.0 torchmetrics-0.6.0 tornado-6.2 tqdm-4.64.1 transformers-4.19.2 tzdata-2022.7 tzlocal-4.2 uc-micro-py-1.0.1 uvicorn-0.20.0 validators-0.20.0 watchdog-2.2.1 wcwidth-0.2.6 webdataset-0.2.5 websockets-10.4 werkzeug-2.2.3 yapf-0.32.0 yarl-1.8.2 zipp-3.14.0 done # # To activate this environment, use # # $ conda activate control # # To deactivate an active environment, use # # $ conda deactivate (pytorch-cuda) vadi@barbar:/media/vadi/SSDer/Programs/ControlNet$ (pytorch-cuda) vadi@barbar:/media/vadi/SSDer/Programs/ControlNet$ conda activate control (control) vadi@barbar:/media/vadi/SSDer/Programs/ControlNet$ python gradio_hough2image.py logging improved. Downloading: "https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/mlsd_large_512_fp32.pth" to /media/vadi/SSDer/Programs/ControlNet/annotator/ckpts/mlsd_large_512_fp32.pth 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 6.05M/6.05M [00:00<00:00, 12.4MB/s] No module 'xformers'. Proceeding without it. ControlLDM: Running in eps-prediction mode DiffusionWrapper has 859.52 M params. making attention of type 'vanilla' with 512 in_channels Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type 'vanilla' with 512 in_channels Downloading: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 939k/939k [00:02<00:00, 350kB/s] Downloading: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 512k/512k [00:00<00:00, 910kB/s] Downloading: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 389/389 [00:00<00:00, 549kB/s] Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 905/905 [00:00<00:00, 1.34MB/s] Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 4.41k/4.41k [00:00<00:00, 6.63MB/s] Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1.59G/1.59G [01:20<00:00, 21.1MB/s] Loaded model config from [./models/cldm_v15.yaml] Traceback (most recent call last): File "gradio_hough2image.py", line 21, in <module> model.load_state_dict(load_state_dict('./models/control_sd15_mlsd.pth', location='cuda')) File "/media/vadi/SSDer/Programs/ControlNet/cldm/model.py", line 18, in load_state_dict state_dict = get_state_dict(torch.load(ckpt_path, map_location=torch.device(location))) File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 699, in load with _open_file_like(f, 'rb') as opened_file: File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 230, in _open_file_like return _open_file(name_or_buffer, mode) File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 211, in __init__ super(_open_file, self).__init__(open(name, mode)) FileNotFoundError: [Errno 2] No such file or directory: './models/control_sd15_mlsd.pth' (control) vadi@barbar:/media/vadi/SSDer/Programs/ControlNet$ python gradio_hough2image.py logging improved. No module 'xformers'. Proceeding without it. ControlLDM: Running in eps-prediction mode DiffusionWrapper has 859.52 M params. making attention of type 'vanilla' with 512 in_channels Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type 'vanilla' with 512 in_channels Loaded model config from [./models/cldm_v15.yaml] Traceback (most recent call last): File "gradio_hough2image.py", line 21, in <module> model.load_state_dict(load_state_dict('./models/control_sd15_mlsd.pth', location='cuda')) File "/media/vadi/SSDer/Programs/ControlNet/cldm/model.py", line 18, in load_state_dict state_dict = get_state_dict(torch.load(ckpt_path, map_location=torch.device(location))) File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 699, in load with _open_file_like(f, 'rb') as opened_file: File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 230, in _open_file_like return _open_file(name_or_buffer, mode) File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 211, in __init__ super(_open_file, self).__init__(open(name, mode)) FileNotFoundError: [Errno 2] No such file or directory: './models/control_sd15_mlsd.pth' (control) vadi@barbar:/media/vadi/SSDer/Programs/ControlNet$ python gradio_hough2image.py logging improved. No module 'xformers'. Proceeding without it. ControlLDM: Running in eps-prediction mode DiffusionWrapper has 859.52 M params. making attention of type 'vanilla' with 512 in_channels Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type 'vanilla' with 512 in_channels Loaded model config from [./models/cldm_v15.yaml] Traceback (most recent call last): File "gradio_hough2image.py", line 21, in <module> model.load_state_dict(load_state_dict('./models/control_sd15_mlsd.pth', location='cuda')) File "/media/vadi/SSDer/Programs/ControlNet/cldm/model.py", line 18, in load_state_dict state_dict = get_state_dict(torch.load(ckpt_path, map_location=torch.device(location))) File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 699, in load with _open_file_like(f, 'rb') as opened_file: File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 230, in _open_file_like return _open_file(name_or_buffer, mode) File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 211, in __init__ super(_open_file, self).__init__(open(name, mode)) FileNotFoundError: [Errno 2] No such file or directory: './models/control_sd15_mlsd.pth' (control) vadi@barbar:/media/vadi/SSDer/Programs/ControlNet$ python gradio_canny2image.py logging improved. No module 'xformers'. Proceeding without it. ControlLDM: Running in eps-prediction mode DiffusionWrapper has 859.52 M params. making attention of type 'vanilla' with 512 in_channels Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type 'vanilla' with 512 in_channels Loaded model config from [./models/cldm_v15.yaml] Traceback (most recent call last): File "gradio_canny2image.py", line 21, in <module> model.load_state_dict(load_state_dict('./models/control_sd15_canny.pth', location='cuda')) File "/media/vadi/SSDer/Programs/ControlNet/cldm/model.py", line 18, in load_state_dict state_dict = get_state_dict(torch.load(ckpt_path, map_location=torch.device(location))) File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 699, in load with _open_file_like(f, 'rb') as opened_file: File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 230, in _open_file_like return _open_file(name_or_buffer, mode) File "/home/vadi/Programs/miniconda3/envs/control/lib/python3.8/site-packages/torch/serialization.py", line 211, in __init__ super(_open_file, self).__init__(open(name, mode)) FileNotFoundError: [Errno 2] No such file or directory: './models/control_sd15_canny.pth' (control) vadi@barbar:/media/vadi/SSDer/Programs/ControlNet$
There’s a YouTube video helping where to place that specific file ./models/control_sd15_canny.pth'. It’s under the extension fielder (not models) for webui automatic 1111
I'm not having luck running any of the Gradio apps out of the box - what could be wrong?