runpod-workers / worker-a1111 Goto Github PK
View Code? Open in Web Editor NEWAutomatic1111 serverless worker.
License: MIT License
worker-a1111's People
Contributors
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot]")
Stargazers
Watchers
Forkers
kilimchoi leandroalbero tarah7579 harrywang generativelabs davguij nakameguro-technologies mhunga story-boards-ai tudoanh pablodawson benjaminirwin manivela codepainter karolry z4m1n0 subuday rewbs karuzzzo happyvee unrulpkk makkawysaleh teb88 zenghongtu sidequestlegend kyyhkynen phil-win datamonet lenslessai kafe-rocks zaizhuzhu123 grdval1 starquest-ai jeffdechambeau playstones neoromantique algopapi hoblin dongjianedu vilimas stakeordie kevinmcmahon sbbu foysalosmany brookergroup rainbowdashx yorgyetson clockradios mcheca amirhossein92 meyiapir felixitous jrdnperla thoth-a1 devintulles3cloud djnixy shigazy linecode abrahamchumacerogaiteworker-a1111's Issues
error building on MacBook Pro M1
just clone the repo and run docker build . with Mac Docker Desktop.
Thanks for the help!
harrywang@m1-hw worker-a1111 % docker build .
[+] Building 133.7s (18/30)
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 3.65kB 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [internal] load metadata for docker.io/alpine/git:2.36.2 1.3s
=> [internal] load metadata for docker.io/library/python:3.10.9-slim 1.3s
=> [auth] library/python:pull token for registry-1.docker.io 0.0s
=> [auth] alpine/git:pull token for registry-1.docker.io 0.0s
=> [internal] load build context 0.7s
=> => transferring context: 3.39kB 0.5s
=> [download 1/7] FROM docker.io/alpine/git:2.36.2@sha256:ec491c893597b68c92b88023827faa771772cfd5e106b76c713fa5e 1.4s
=> => resolve docker.io/alpine/git:2.36.2@sha256:ec491c893597b68c92b88023827faa771772cfd5e106b76c713fa5e1c75dea84 0.0s
=> => sha256:973c2a621dac43e67c2f321c3418826d42836066a6d670d45f369bd9e7ed9778 946B / 946B 0.0s
=> => sha256:8bfbb50cd816b8f1f67612db507558338970b6531b3f7c372fbd406ca58bfaae 1.85kB / 1.85kB 0.0s
=> => sha256:9b18e9b68314027565b90ff6189d65942c0f7986da80df008b8431276885218e 2.71MB / 2.71MB 0.7s
=> => sha256:59deecb6b7b98b6acbebdf7e1630829d267e96d70d8dbe9a364307c7603ef04f 18.14MB / 18.14MB 1.0s
=> => sha256:ec5a03ff1e3fef447c2843fd540a9eb5e6962f514a5fcfbff7f9c760997d6f70 99B / 99B 0.3s
=> => sha256:ec491c893597b68c92b88023827faa771772cfd5e106b76c713fa5e1c75dea84 2.03kB / 2.03kB 0.0s
=> => extracting sha256:9b18e9b68314027565b90ff6189d65942c0f7986da80df008b8431276885218e 0.2s
=> => extracting sha256:59deecb6b7b98b6acbebdf7e1630829d267e96d70d8dbe9a364307c7603ef04f 0.2s
=> => extracting sha256:ec5a03ff1e3fef447c2843fd540a9eb5e6962f514a5fcfbff7f9c760997d6f70 0.0s
=> [stage-1 1/16] FROM docker.io/library/python:3.10.9-slim@sha256:76dd18d90a3d8710e091734bf2c9dd686d68747a5190 10.4s
=> => resolve docker.io/library/python:3.10.9-slim@sha256:76dd18d90a3d8710e091734bf2c9dd686d68747a51908db1e1f41e9 0.0s
=> => sha256:76dd18d90a3d8710e091734bf2c9dd686d68747a51908db1e1f41e9a5ed4e2c5 1.86kB / 1.86kB 0.0s
=> => sha256:76a879c38fd1d2f5c33020107abc0b78ab6a3d4c57ed212597848a625ac2fb5d 1.37kB / 1.37kB 0.0s
=> => sha256:45fb1e8d65c5b10438e81c1569ee5a18fad07805f0a75aef313c365e6e4b846f 7.80kB / 7.80kB 0.0s
=> => sha256:f79f8cc5c20d534298dd6317333f38b7691da6d66e063ff10699727982c852be 30.04MB / 30.04MB 9.3s
=> => sha256:fd39f0f25050797f48d603bfa8bb789fce6b8b280ee043f8e33618cd151a412c 1.06MB / 1.06MB 1.1s
=> => sha256:d3be0db9a71f08cde682d2948353825e4fc98929932521a2b81c1b4a740794f6 11.83MB / 11.83MB 1.8s
=> => sha256:69f2b431043e92559437d28efcad4825de977ce6708f3481034556326b5867c1 233B / 233B 1.2s
=> => sha256:ab19003b714680d29fbc7d3042e05c6d1ab5d4c75bf55a287d6ead8f8a021f2c 3.35MB / 3.35MB 1.7s
=> => extracting sha256:f79f8cc5c20d534298dd6317333f38b7691da6d66e063ff10699727982c852be 0.5s
=> => extracting sha256:fd39f0f25050797f48d603bfa8bb789fce6b8b280ee043f8e33618cd151a412c 0.1s
=> => extracting sha256:d3be0db9a71f08cde682d2948353825e4fc98929932521a2b81c1b4a740794f6 0.2s
=> => extracting sha256:69f2b431043e92559437d28efcad4825de977ce6708f3481034556326b5867c1 0.0s
=> => extracting sha256:ab19003b714680d29fbc7d3042e05c6d1ab5d4c75bf55a287d6ead8f8a021f2c 0.1s
=> [download 2/7] COPY builder/clone.sh /clone.sh 0.1s
=> [download 3/7] RUN . /clone.sh taming-transformers https://github.com/CompVis/taming-transformers.git 24268930 7.5s
=> [download 4/7] RUN . /clone.sh stable-diffusion-stability-ai https://github.com/Stability-AI/stablediffusion.g 4.1s
=> [stage-1 2/16] RUN apt-get update && apt install -y fonts-dejavu-core rsync git jq moreutils aria2 w 11.4s
=> [download 5/7] RUN . /clone.sh CodeFormer https://github.com/sczhou/CodeFormer.git c5b4593074ba6214284d6acd5f1 1.1s
=> [download 6/7] RUN . /clone.sh BLIP https://github.com/salesforce/BLIP.git 48211a1594f1321b00f14c9f7a5b4813144 2.2s
=> [download 7/7] RUN wget -O /model.safetensors https://civitai.com/api/download/models/15236 98.5s
=> [stage-1 3/16] RUN --mount=type=cache,target=/cache --mount=type=cache,target=/root/.cache/pip pip insta 60.3s
=> ERROR [stage-1 4/16] RUN --mount=type=cache,target=/root/.cache/pip git clone https://github.com/AUTOMAT 50.2s
------
> [stage-1 4/16] RUN --mount=type=cache,target=/root/.cache/pip git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git && cd stable-diffusion-webui && git reset --hard 89f9faa63388756314e8a1d96cf86bf5e0663045 && pip install -r requirements_versions.txt:
#10 0.325 Cloning into 'stable-diffusion-webui'...
#10 4.008 HEAD is now at 89f9faa6 Merge branch 'release_candidate'
#10 4.416 Collecting blendmodes==2022
#10 4.708 Downloading blendmodes-2022-py3-none-any.whl (10 kB)
#10 4.803 Collecting transformers==4.25.1
#10 4.864 Downloading transformers-4.25.1-py3-none-any.whl (5.8 MB)
#10 6.128 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.8/5.8 MB 4.7 MB/s eta 0:00:00
#10 6.173 Collecting accelerate==0.18.0
#10 6.202 Downloading accelerate-0.18.0-py3-none-any.whl (215 kB)
#10 6.218 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 215.3/215.3 kB 13.8 MB/s eta 0:00:00
#10 6.254 Collecting basicsr==1.4.2
#10 6.285 Downloading basicsr-1.4.2.tar.gz (172 kB)
#10 6.297 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 172.5/172.5 kB 14.6 MB/s eta 0:00:00
#10 6.319 Preparing metadata (setup.py): started
#10 9.392 Preparing metadata (setup.py): finished with status 'done'
#10 9.424 Collecting gfpgan==1.3.8
#10 9.449 Downloading gfpgan-1.3.8-py3-none-any.whl (52 kB)
#10 9.454 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 52.2/52.2 kB 12.9 MB/s eta 0:00:00
#10 9.561 Collecting gradio==3.29.0
#10 9.591 Downloading gradio-3.29.0-py3-none-any.whl (17.3 MB)
#10 11.03 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.3/17.3 MB 13.2 MB/s eta 0:00:00
#10 11.19 Collecting numpy==1.23.5
#10 11.22 Downloading numpy-1.23.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (13.9 MB)
#10 12.48 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.9/13.9 MB 11.3 MB/s eta 0:00:00
#10 12.66 Collecting Pillow==9.4.0
#10 12.69 Downloading Pillow-9.4.0-cp310-cp310-manylinux_2_28_aarch64.whl (3.1 MB)
#10 12.94 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.1/3.1 MB 12.3 MB/s eta 0:00:00
#10 12.98 Collecting realesrgan==0.3.0
#10 13.01 Downloading realesrgan-0.3.0-py3-none-any.whl (26 kB)
#10 13.01 Requirement already satisfied: torch in /usr/local/lib/python3.10/site-packages (from -r requirements_versions.txt (line 10)) (1.13.1)
#10 13.07 Collecting omegaconf==2.2.3
#10 13.10 Downloading omegaconf-2.2.3-py3-none-any.whl (79 kB)
#10 13.10 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 79.3/79.3 kB 16.5 MB/s eta 0:00:00
#10 13.16 Collecting pytorch_lightning==1.9.4
#10 13.19 Downloading pytorch_lightning-1.9.4-py3-none-any.whl (827 kB)
#10 13.26 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 827.8/827.8 kB 11.8 MB/s eta 0:00:00
#10 13.36 Collecting scikit-image==0.19.2
#10 13.40 Downloading scikit_image-0.19.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (13.5 MB)
#10 15.62 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 13.5/13.5 MB 5.9 MB/s eta 0:00:00
#10 15.68 Collecting fonts
#10 15.72 Downloading fonts-0.0.3-py3-none-any.whl (4.2 kB)
#10 15.76 Collecting font-roboto
#10 15.78 Downloading font-roboto-0.0.1.tar.gz (2.4 MB)
#10 16.16 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.4/2.4 MB 6.3 MB/s eta 0:00:00
#10 16.22 Preparing metadata (setup.py): started
#10 16.36 Preparing metadata (setup.py): finished with status 'done'
#10 16.39 Collecting timm==0.6.7
#10 16.42 Downloading timm-0.6.7-py3-none-any.whl (509 kB)
#10 16.51 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 510.0/510.0 kB 5.9 MB/s eta 0:00:00
#10 16.57 Collecting piexif==1.1.3
#10 16.63 Downloading piexif-1.1.3-py2.py3-none-any.whl (20 kB)
#10 16.70 Collecting einops==0.4.1
#10 16.77 Downloading einops-0.4.1-py3-none-any.whl (28 kB)
#10 16.83 Collecting jsonmerge==1.8.0
#10 16.88 Downloading jsonmerge-1.8.0.tar.gz (26 kB)
#10 16.89 Preparing metadata (setup.py): started
#10 17.02 Preparing metadata (setup.py): finished with status 'done'
#10 17.09 Collecting clean-fid==0.1.29
#10 17.14 Downloading clean_fid-0.1.29-py3-none-any.whl (24 kB)
#10 17.20 Collecting resize-right==0.0.2
#10 17.26 Downloading resize_right-0.0.2-py3-none-any.whl (8.9 kB)
#10 17.35 Collecting torchdiffeq==0.2.3
#10 17.40 Downloading torchdiffeq-0.2.3-py3-none-any.whl (31 kB)
#10 17.47 Collecting kornia==0.6.7
#10 17.51 Downloading kornia-0.6.7-py2.py3-none-any.whl (565 kB)
#10 17.61 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 565.1/565.1 kB 6.2 MB/s eta 0:00:00
#10 17.68 Collecting lark==1.1.2
#10 17.73 Downloading lark-1.1.2-py2.py3-none-any.whl (104 kB)
#10 17.75 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 104.7/104.7 kB 6.4 MB/s eta 0:00:00
#10 17.80 Collecting inflection==0.5.1
#10 17.85 Downloading inflection-0.5.1-py2.py3-none-any.whl (9.5 kB)
#10 17.93 Collecting GitPython==3.1.30
#10 17.98 Downloading GitPython-3.1.30-py3-none-any.whl (184 kB)
#10 18.00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 184.0/184.0 kB 7.8 MB/s eta 0:00:00
#10 18.05 Collecting torchsde==0.2.5
#10 18.10 Downloading torchsde-0.2.5-py3-none-any.whl (59 kB)
#10 18.11 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 59.2/59.2 kB 5.2 MB/s eta 0:00:00
#10 18.21 Collecting safetensors==0.3.1
#10 18.26 Downloading safetensors-0.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.2 MB)
#10 18.46 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 6.3 MB/s eta 0:00:00
#10 18.53 Collecting httpcore<=0.15
#10 18.57 Downloading httpcore-0.15.0-py3-none-any.whl (68 kB)
#10 18.58 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 68.4/68.4 kB 6.2 MB/s eta 0:00:00
#10 18.67 Collecting fastapi==0.94.0
#10 18.71 Downloading fastapi-0.94.0-py3-none-any.whl (56 kB)
#10 18.72 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 kB 5.1 MB/s eta 0:00:00
#10 18.78 Collecting aenum<4,>=3.1.7
#10 18.82 Downloading aenum-3.1.12-py3-none-any.whl (131 kB)
#10 18.84 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 131.8/131.8 kB 7.1 MB/s eta 0:00:00
#10 18.89 Collecting deprecation<3,>=2.1.0
#10 18.93 Downloading deprecation-2.1.0-py2.py3-none-any.whl (11 kB)
#10 19.46 Collecting regex!=2019.12.17
#10 19.49 Downloading regex-2023.5.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (768 kB)
#10 19.58 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 769.0/769.0 kB 8.5 MB/s eta 0:00:00
#10 19.65 Collecting requests
#10 19.68 Downloading requests-2.31.0-py3-none-any.whl (62 kB)
#10 19.69 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.6/62.6 kB 6.4 MB/s eta 0:00:00
#10 19.74 Collecting pyyaml>=5.1
#10 19.78 Downloading PyYAML-6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (733 kB)
#10 19.87 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 733.7/733.7 kB 8.1 MB/s eta 0:00:00
#10 19.94 Collecting packaging>=20.0
#10 19.96 Downloading packaging-23.1-py3-none-any.whl (48 kB)
#10 19.97 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.9/48.9 kB 22.2 MB/s eta 0:00:00
#10 20.02 Collecting tqdm>=4.27
#10 20.05 Downloading tqdm-4.65.0-py3-none-any.whl (77 kB)
#10 20.06 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 77.1/77.1 kB 10.7 MB/s eta 0:00:00
#10 20.17 Collecting tokenizers!=0.11.3,<0.14,>=0.11.1
#10 20.19 Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (7.5 MB)
#10 21.49 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.5/7.5 MB 5.7 MB/s eta 0:00:00
#10 21.56 Collecting huggingface-hub<1.0,>=0.10.0
#10 21.58 Downloading huggingface_hub-0.14.1-py3-none-any.whl (224 kB)
#10 21.61 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 224.5/224.5 kB 7.3 MB/s eta 0:00:00
#10 21.65 Collecting filelock
#10 21.68 Downloading filelock-3.12.0-py3-none-any.whl (10 kB)
#10 21.79 Collecting psutil
#10 21.81 Downloading psutil-5.9.5.tar.gz (493 kB)
#10 21.87 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 493.5/493.5 kB 9.3 MB/s eta 0:00:00
#10 21.91 Installing build dependencies: started
#10 23.58 Installing build dependencies: finished with status 'done'
#10 23.58 Getting requirements to build wheel: started
#10 23.72 Getting requirements to build wheel: finished with status 'done'
#10 23.72 Preparing metadata (pyproject.toml): started
#10 23.84 Preparing metadata (pyproject.toml): finished with status 'done'
#10 23.91 Collecting addict
#10 23.95 Downloading addict-2.4.0-py3-none-any.whl (3.8 kB)
#10 24.01 Collecting future
#10 24.06 Downloading future-0.18.3.tar.gz (840 kB)
#10 24.19 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 840.9/840.9 kB 6.3 MB/s eta 0:00:00
#10 24.26 Preparing metadata (setup.py): started
#10 24.40 Preparing metadata (setup.py): finished with status 'done'
#10 24.45 Collecting lmdb
#10 24.48 Downloading lmdb-1.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (298 kB)
#10 24.54 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 298.4/298.4 kB 5.4 MB/s eta 0:00:00
#10 24.66 Collecting opencv-python
#10 24.72 Downloading opencv_python-4.7.0.72-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (40.4 MB)
#10 29.91 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 40.4/40.4 MB 9.3 MB/s eta 0:00:00
#10 30.03 Collecting scipy
#10 30.06 Downloading scipy-1.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (30.9 MB)
#10 33.18 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30.9/30.9 MB 12.0 MB/s eta 0:00:00
#10 33.72 Collecting tb-nightly
#10 33.75 Downloading tb_nightly-2.14.0a20230531-py3-none-any.whl (5.6 MB)
#10 34.08 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.6/5.6 MB 17.2 MB/s eta 0:00:00
#10 34.09 Requirement already satisfied: torchvision in /usr/local/lib/python3.10/site-packages (from basicsr==1.4.2->-r requirements_versions.txt (line 4)) (0.1.6)
#10 34.12 Collecting yapf
#10 34.15 Downloading yapf-0.33.0-py2.py3-none-any.whl (200 kB)
#10 34.16 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.9/200.9 kB 22.2 MB/s eta 0:00:00
#10 34.19 Collecting facexlib>=0.2.5
#10 34.22 Downloading facexlib-0.3.0-py3-none-any.whl (59 kB)
#10 34.22 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 59.6/59.6 kB 15.0 MB/s eta 0:00:00
#10 34.38 Collecting matplotlib
#10 34.42 Downloading matplotlib-3.7.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (11.3 MB)
#10 35.07 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.3/11.3 MB 17.5 MB/s eta 0:00:00
#10 35.14 Collecting mdit-py-plugins<=0.3.3
#10 35.17 Downloading mdit_py_plugins-0.3.3-py3-none-any.whl (50 kB)
#10 35.17 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.5/50.5 kB 21.5 MB/s eta 0:00:00
#10 35.27 Collecting pydantic
#10 35.30 Downloading pydantic-1.10.8-py3-none-any.whl (157 kB)
#10 35.31 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 157.5/157.5 kB 22.2 MB/s eta 0:00:00
#10 35.34 Collecting aiofiles
#10 35.37 Downloading aiofiles-23.1.0-py3-none-any.whl (14 kB)
#10 35.43 Collecting markupsafe
#10 35.45 Downloading MarkupSafe-2.1.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (26 kB)
#10 35.49 Collecting jinja2
#10 35.52 Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
#10 35.53 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.1/133.1 kB 12.1 MB/s eta 0:00:00
#10 35.58 Collecting httpx
#10 35.61 Downloading httpx-0.24.1-py3-none-any.whl (75 kB)
#10 35.61 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 75.4/75.4 kB 13.8 MB/s eta 0:00:00
#10 35.65 Collecting markdown-it-py[linkify]>=2.0.0
#10 35.68 Downloading markdown_it_py-2.2.0-py3-none-any.whl (84 kB)
#10 35.68 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 84.5/84.5 kB 15.7 MB/s eta 0:00:00
#10 35.72 Collecting gradio-client>=0.2.1
#10 35.74 Downloading gradio_client-0.2.5-py3-none-any.whl (288 kB)
#10 35.76 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.1/288.1 kB 24.3 MB/s eta 0:00:00
#10 35.93 Collecting aiohttp
#10 35.96 Downloading aiohttp-3.8.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.0 MB)
#10 36.01 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.0/1.0 MB 18.1 MB/s eta 0:00:00
#10 36.05 Collecting pygments>=2.12.0
#10 36.07 Downloading Pygments-2.15.1-py3-none-any.whl (1.1 MB)
#10 36.13 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 20.5 MB/s eta 0:00:00
#10 36.14 Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/site-packages (from gradio==3.29.0->-r requirements_versions.txt (line 6)) (4.4.0)
#10 36.17 Collecting semantic-version
#10 36.19 Downloading semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)
#10 36.22 Collecting ffmpy
#10 36.25 Downloading ffmpy-0.3.0.tar.gz (4.8 kB)
#10 36.25 Preparing metadata (setup.py): started
#10 36.43 Preparing metadata (setup.py): finished with status 'done'
#10 36.50 Collecting websockets>=10.0
#10 36.53 Downloading websockets-11.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (130 kB)
#10 36.54 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 130.6/130.6 kB 21.9 MB/s eta 0:00:00
#10 36.71 Collecting pandas
#10 36.74 Downloading pandas-2.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (11.6 MB)
#10 37.37 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.6/11.6 MB 18.1 MB/s eta 0:00:00
#10 37.45 Collecting altair>=4.2.0
#10 37.47 Downloading altair-5.0.1-py3-none-any.whl (471 kB)
#10 37.51 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 471.5/471.5 kB 16.0 MB/s eta 0:00:00
#10 37.54 Collecting uvicorn>=0.14.0
#10 37.57 Downloading uvicorn-0.22.0-py3-none-any.whl (58 kB)
#10 37.58 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.3/58.3 kB 12.4 MB/s eta 0:00:00
#10 37.72 Collecting orjson
#10 37.75 Downloading orjson-3.8.14-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (263 kB)
#10 37.76 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 263.2/263.2 kB 24.2 MB/s eta 0:00:00
#10 37.79 Collecting python-multipart
#10 37.81 Downloading python_multipart-0.0.6-py3-none-any.whl (45 kB)
#10 37.81 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 45.7/45.7 kB 21.5 MB/s eta 0:00:00
#10 37.86 Collecting pydub
#10 37.89 Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)
#10 37.95 Collecting antlr4-python3-runtime==4.9.*
#10 37.97 Downloading antlr4-python3-runtime-4.9.3.tar.gz (117 kB)
#10 37.98 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 117.0/117.0 kB 21.1 MB/s eta 0:00:00
#10 37.99 Preparing metadata (setup.py): started
#10 38.12 Preparing metadata (setup.py): finished with status 'done'
#10 38.19 Collecting torchmetrics>=0.7.0
#10 38.22 Downloading torchmetrics-0.11.4-py3-none-any.whl (519 kB)
#10 38.25 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 519.2/519.2 kB 20.9 MB/s eta 0:00:00
#10 38.29 Collecting fsspec[http]>2021.06.0
#10 38.33 Downloading fsspec-2023.5.0-py3-none-any.whl (160 kB)
#10 38.33 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 160.1/160.1 kB 23.2 MB/s eta 0:00:00
#10 38.37 Collecting lightning-utilities>=0.6.0.post0
#10 38.39 Downloading lightning_utilities-0.8.0-py3-none-any.whl (20 kB)
#10 38.46 Collecting PyWavelets>=1.1.1
#10 38.48 Downloading PyWavelets-1.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.7 MB)
#10 38.83 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.7/6.7 MB 19.6 MB/s eta 0:00:00
#10 38.89 Collecting tifffile>=2019.7.26
#10 38.92 Downloading tifffile-2023.4.12-py3-none-any.whl (219 kB)
#10 38.93 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 219.4/219.4 kB 28.3 MB/s eta 0:00:00
#10 38.97 Collecting networkx>=2.2
#10 39.00 Downloading networkx-3.1-py3-none-any.whl (2.1 MB)
#10 39.10 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.1/2.1 MB 20.3 MB/s eta 0:00:00
#10 39.15 Collecting imageio>=2.4.1
#10 39.18 Downloading imageio-2.30.0-py3-none-any.whl (312 kB)
#10 39.20 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 312.7/312.7 kB 19.3 MB/s eta 0:00:00
#10 39.24 Collecting jsonschema
#10 39.26 Downloading jsonschema-4.17.3-py3-none-any.whl (90 kB)
#10 39.27 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 90.4/90.4 kB 21.7 MB/s eta 0:00:00
#10 39.29 Collecting requests
#10 39.32 Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB)
#10 39.32 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.2/61.2 kB 28.0 MB/s eta 0:00:00
#10 39.37 Collecting gitdb<5,>=4.0.1
#10 39.39 Downloading gitdb-4.0.10-py3-none-any.whl (62 kB)
#10 39.40 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.7/62.7 kB 29.4 MB/s eta 0:00:00
#10 39.44 Collecting boltons>=20.2.1
#10 39.46 Downloading boltons-23.0.0-py2.py3-none-any.whl (194 kB)
#10 39.47 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 194.8/194.8 kB 19.7 MB/s eta 0:00:00
#10 39.51 Collecting trampoline>=0.1.2
#10 39.53 Downloading trampoline-0.1.2-py3-none-any.whl (5.2 kB)
#10 39.64 Collecting starlette<0.27.0,>=0.26.0
#10 39.66 Downloading starlette-0.26.1-py3-none-any.whl (66 kB)
#10 39.66 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 66.9/66.9 kB 26.1 MB/s eta 0:00:00
#10 39.70 Collecting chardet<5,>=3.0.2
#10 39.72 Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB)
#10 39.73 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 178.7/178.7 kB 34.0 MB/s eta 0:00:00
#10 39.77 Collecting urllib3<1.27,>=1.21.1
#10 39.80 Downloading urllib3-1.26.16-py2.py3-none-any.whl (143 kB)
#10 39.80 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 143.1/143.1 kB 20.6 MB/s eta 0:00:00
#10 39.84 Collecting certifi>=2017.4.17
#10 39.86 Downloading certifi-2023.5.7-py3-none-any.whl (156 kB)
#10 39.87 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 157.0/157.0 kB 13.2 MB/s eta 0:00:00
#10 39.90 Collecting idna<3,>=2.5
#10 39.92 Downloading idna-2.10-py2.py3-none-any.whl (58 kB)
#10 39.93 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 58.8/58.8 kB 17.4 MB/s eta 0:00:00
#10 39.97 Collecting anyio==3.*
#10 40.00 Downloading anyio-3.7.0-py3-none-any.whl (80 kB)
#10 40.00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 80.9/80.9 kB 39.0 MB/s eta 0:00:00
#10 40.03 Collecting sniffio==1.*
#10 40.05 Downloading sniffio-1.3.0-py3-none-any.whl (10 kB)
#10 40.09 Collecting h11<0.13,>=0.11
#10 40.11 Downloading h11-0.12.0-py3-none-any.whl (54 kB)
#10 40.11 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.9/54.9 kB 23.3 MB/s eta 0:00:00
#10 40.16 Collecting exceptiongroup
#10 40.19 Downloading exceptiongroup-1.1.1-py3-none-any.whl (14 kB)
#10 40.28 Collecting toolz
#10 40.30 Downloading toolz-0.12.0-py3-none-any.whl (55 kB)
#10 40.31 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 55.8/55.8 kB 22.4 MB/s eta 0:00:00
#10 40.35 Collecting filterpy
#10 40.38 Downloading filterpy-1.4.5.zip (177 kB)
#10 40.39 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 178.0/178.0 kB 25.2 MB/s eta 0:00:00
#10 40.40 Preparing metadata (setup.py): started
#10 40.52 Preparing metadata (setup.py): finished with status 'done'
#10 40.66 Collecting numba
#10 40.70 Downloading numba-0.57.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (3.3 MB)
#10 40.87 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.3/3.3 MB 20.4 MB/s eta 0:00:00
#10 40.97 Collecting frozenlist>=1.1.1
#10 40.99 Downloading frozenlist-1.3.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (148 kB)
#10 41.00 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 148.1/148.1 kB 21.1 MB/s eta 0:00:00
#10 41.03 Collecting aiosignal>=1.1.2
#10 41.05 Downloading aiosignal-1.3.1-py3-none-any.whl (7.6 kB)
#10 41.09 Collecting attrs>=17.3.0
#10 41.11 Downloading attrs-23.1.0-py3-none-any.whl (61 kB)
#10 41.11 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.2/61.2 kB 23.1 MB/s eta 0:00:00
#10 41.27 Collecting multidict<7.0,>=4.5
#10 41.29 Downloading multidict-6.0.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (116 kB)
#10 41.30 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 116.6/116.6 kB 19.1 MB/s eta 0:00:00
#10 41.33 Collecting async-timeout<5.0,>=4.0.0a3
#10 41.35 Downloading async_timeout-4.0.2-py3-none-any.whl (5.8 kB)
#10 41.46 Collecting yarl<2.0,>=1.0
#10 41.48 Downloading yarl-1.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (262 kB)
#10 41.50 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 262.1/262.1 kB 17.8 MB/s eta 0:00:00
#10 41.56 Collecting charset-normalizer<4.0,>=2.0
#10 41.58 Downloading charset_normalizer-3.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (195 kB)
#10 41.59 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 195.9/195.9 kB 22.7 MB/s eta 0:00:00
#10 41.63 Collecting smmap<6,>=3.0.1
#10 41.65 Downloading smmap-5.0.0-py3-none-any.whl (24 kB)
#10 41.76 Collecting pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0
#10 41.79 Downloading pyrsistent-0.19.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (117 kB)
#10 41.79 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 117.2/117.2 kB 15.4 MB/s eta 0:00:00
#10 41.84 Collecting mdurl~=0.1
#10 41.86 Downloading mdurl-0.1.2-py3-none-any.whl (10.0 kB)
#10 41.90 Collecting linkify-it-py<3,>=1
#10 41.92 Downloading linkify_it_py-2.0.2-py3-none-any.whl (19 kB)
#10 42.03 Collecting tzdata>=2022.1
#10 42.06 Downloading tzdata-2023.3-py2.py3-none-any.whl (341 kB)
#10 42.07 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 341.8/341.8 kB 26.1 MB/s eta 0:00:00
#10 42.11 Collecting python-dateutil>=2.8.2
#10 42.13 Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
#10 42.14 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 247.7/247.7 kB 26.4 MB/s eta 0:00:00
#10 42.20 Collecting pytz>=2020.1
#10 42.22 Downloading pytz-2023.3-py2.py3-none-any.whl (502 kB)
#10 42.25 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 502.3/502.3 kB 21.7 MB/s eta 0:00:00
#10 42.39 Collecting click>=7.0
#10 42.42 Downloading click-8.1.3-py3-none-any.whl (96 kB)
#10 42.42 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 96.6/96.6 kB 50.2 MB/s eta 0:00:00
#10 42.52 Collecting kiwisolver>=1.0.1
#10 42.55 Downloading kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB)
#10 42.61 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.4/1.4 MB 21.7 MB/s eta 0:00:00
#10 42.67 Collecting contourpy>=1.0.1
#10 42.70 Downloading contourpy-1.0.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (283 kB)
#10 42.71 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 283.7/283.7 kB 27.9 MB/s eta 0:00:00
#10 42.76 Collecting fonttools>=4.22.0
#10 42.78 Downloading fonttools-4.39.4-py3-none-any.whl (1.0 MB)
#10 42.83 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.0/1.0 MB 20.5 MB/s eta 0:00:00
#10 42.87 Collecting pyparsing>=2.3.1
#10 42.90 Downloading pyparsing-3.0.9-py3-none-any.whl (98 kB)
#10 42.90 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 98.3/98.3 kB 22.3 MB/s eta 0:00:00
#10 42.95 Collecting cycler>=0.10
#10 42.97 Downloading cycler-0.11.0-py3-none-any.whl (6.4 kB)
#10 43.03 Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.10/site-packages (from tb-nightly->basicsr==1.4.2->-r requirements_versions.txt (line 4)) (0.38.4)
#10 43.10 Collecting google-auth<3,>=1.6.3
#10 43.13 Downloading google_auth-2.19.0-py2.py3-none-any.whl (181 kB)
#10 43.14 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 181.3/181.3 kB 17.3 MB/s eta 0:00:00
#10 43.18 Collecting markdown>=2.6.8
#10 43.20 Downloading Markdown-3.4.3-py3-none-any.whl (93 kB)
#10 43.21 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 93.9/93.9 kB 16.6 MB/s eta 0:00:00
#10 43.21 Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.10/site-packages (from tb-nightly->basicsr==1.4.2->-r requirements_versions.txt (line 4)) (65.5.1)
#10 43.27 Collecting werkzeug>=1.0.1
#10 43.29 Downloading Werkzeug-2.3.4-py3-none-any.whl (242 kB)
#10 43.30 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 242.5/242.5 kB 24.4 MB/s eta 0:00:00
#10 43.55 Collecting protobuf>=3.19.6
#10 43.57 Downloading protobuf-4.23.2-cp37-abi3-manylinux2014_aarch64.whl (303 kB)
#10 43.58 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 303.4/303.4 kB 26.2 MB/s eta 0:00:00
#10 43.91 Collecting grpcio>=1.48.2
#10 43.95 Downloading grpcio-1.54.2-cp310-cp310-manylinux_2_17_aarch64.whl (4.6 MB)
#10 44.21 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.6/4.6 MB 17.9 MB/s eta 0:00:00
#10 44.26 Collecting google-auth-oauthlib<1.1,>=0.5
#10 44.28 Downloading google_auth_oauthlib-1.0.0-py2.py3-none-any.whl (18 kB)
#10 44.31 Collecting tensorboard-data-server<0.8.0,>=0.7.0
#10 44.34 Downloading tensorboard_data_server-0.7.0-py3-none-any.whl (2.4 kB)
#10 44.38 Collecting absl-py>=0.4
#10 44.40 Downloading absl_py-1.4.0-py3-none-any.whl (126 kB)
#10 44.41 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 126.5/126.5 kB 17.9 MB/s eta 0:00:00
#10 44.47 Collecting tomli>=2.0.1
#10 44.50 Downloading tomli-2.0.1-py3-none-any.whl (12 kB)
#10 44.64 Collecting rsa<5,>=3.1.4
#10 44.66 Downloading rsa-4.9-py3-none-any.whl (34 kB)
#10 44.69 Collecting cachetools<6.0,>=2.0.0
#10 44.72 Downloading cachetools-5.3.1-py3-none-any.whl (9.3 kB)
#10 44.76 Collecting pyasn1-modules>=0.2.1
#10 44.78 Downloading pyasn1_modules-0.3.0-py2.py3-none-any.whl (181 kB)
#10 44.79 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 181.3/181.3 kB 29.1 MB/s eta 0:00:00
#10 44.83 Collecting six>=1.9.0
#10 44.85 Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)
#10 44.89 Collecting requests-oauthlib>=0.7.0
#10 44.93 Downloading requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)
#10 45.00 Collecting uc-micro-py
#10 45.03 Downloading uc_micro_py-1.0.2-py3-none-any.whl (6.2 kB)
#10 45.21 Collecting llvmlite<0.41,>=0.40.0dev0
#10 45.26 Downloading llvmlite-0.40.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (41.1 MB)
#10 47.11 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.1/41.1 MB 19.6 MB/s eta 0:00:00
#10 47.21 Collecting pyasn1<0.6.0,>=0.4.6
#10 47.24 Downloading pyasn1-0.5.0-py2.py3-none-any.whl (83 kB)
#10 47.24 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 83.9/83.9 kB 32.7 MB/s eta 0:00:00
#10 47.28 Collecting oauthlib>=3.0.0
#10 47.30 Downloading oauthlib-3.2.2-py3-none-any.whl (151 kB)
#10 47.31 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 151.7/151.7 kB 27.8 MB/s eta 0:00:00
#10 47.38 Building wheels for collected packages: basicsr, jsonmerge, antlr4-python3-runtime, font-roboto, ffmpy, future, psutil, filterpy
#10 47.38 Building wheel for basicsr (setup.py): started
#10 47.90 Building wheel for basicsr (setup.py): finished with status 'done'
#10 47.90 Created wheel for basicsr: filename=basicsr-1.4.2-py3-none-any.whl size=214824 sha256=c6282e3a1fbbb63b15ac381d11821f8a19ff948da023ba1f52b10941dc80f7a7
#10 47.90 Stored in directory: /root/.cache/pip/wheels/63/64/ff/74f948afd26363d97ff9343edc8b0064c40e9ed31f893a89df
#10 47.90 Building wheel for jsonmerge (setup.py): started
#10 48.05 Building wheel for jsonmerge (setup.py): finished with status 'done'
#10 48.05 Created wheel for jsonmerge: filename=jsonmerge-1.8.0-py3-none-any.whl size=17986 sha256=56529a5b4df15113040961c2f1b2f500aa33d6c8b5fb40f82e87fbdda59e0e1b
#10 48.05 Stored in directory: /root/.cache/pip/wheels/3b/58/8a/4dce90d490c539f059d6a0a28e0282d8a50a49a706395ab8d0
#10 48.05 Building wheel for antlr4-python3-runtime (setup.py): started
#10 48.22 Building wheel for antlr4-python3-runtime (setup.py): finished with status 'done'
#10 48.22 Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144554 sha256=e73332d2682c7c1dea5c75c3c03334fbeb8a9ed3446c8087cdd6fb9af8f21ff8
#10 48.22 Stored in directory: /root/.cache/pip/wheels/48/6a/c2/acb58c7afdf57e4cddf5e1513f5a2d62aa8e98f82a00c76d7c
#10 48.22 Building wheel for font-roboto (setup.py): started
#10 48.52 Building wheel for font-roboto (setup.py): finished with status 'done'
#10 48.52 Created wheel for font-roboto: filename=font_roboto-0.0.1-py3-none-any.whl size=2359736 sha256=a385b161b0e1ae64350e3861678357160d7a9b828321a18918918414985827de
#10 48.52 Stored in directory: /root/.cache/pip/wheels/9c/8e/56/6a5386fc28a776801a5345f912368528a7aa40c34a5134768e
#10 48.52 Building wheel for ffmpy (setup.py): started
#10 48.66 Building wheel for ffmpy (setup.py): finished with status 'done'
#10 48.66 Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4693 sha256=1663dad640e68a0d1202d901851c4c62756876868ff0eb0a12c00d48f75ebdc4
#10 48.66 Stored in directory: /root/.cache/pip/wheels/fe/17/e9/577da024bc5aede641c69f0675254c1e518db79800abbe135c
#10 48.67 Building wheel for future (setup.py): started
#10 48.92 Building wheel for future (setup.py): finished with status 'done'
#10 48.92 Created wheel for future: filename=future-0.18.3-py3-none-any.whl size=492025 sha256=577c42323f34d6f4a29c9cd2ce1c8856f93a86b59de6399d11f2c6f73aabbc1f
#10 48.92 Stored in directory: /root/.cache/pip/wheels/69/c0/ce/f2a18105d619f21239a048bcc58e98d8ce47ac824e0531f1a0
#10 48.93 Building wheel for psutil (pyproject.toml): started
#10 49.05 Building wheel for psutil (pyproject.toml): finished with status 'error'
#10 49.05 error: subprocess-exited-with-error
#10 49.05
#10 49.05 × Building wheel for psutil (pyproject.toml) did not run successfully.
#10 49.05 │ exit code: 1
#10 49.05 ╰─> [43 lines of output]
#10 49.05 running bdist_wheel
#10 49.05 running build
#10 49.05 running build_py
#10 49.05 creating build
#10 49.05 creating build/lib.linux-aarch64-cpython-310
#10 49.05 creating build/lib.linux-aarch64-cpython-310/psutil
#10 49.05 copying psutil/_pslinux.py -> build/lib.linux-aarch64-cpython-310/psutil
#10 49.05 copying psutil/_pssunos.py -> build/lib.linux-aarch64-cpython-310/psutil
#10 49.05 copying psutil/_pswindows.py -> build/lib.linux-aarch64-cpython-310/psutil
#10 49.05 copying psutil/_compat.py -> build/lib.linux-aarch64-cpython-310/psutil
#10 49.05 copying psutil/_psbsd.py -> build/lib.linux-aarch64-cpython-310/psutil
#10 49.05 copying psutil/_psposix.py -> build/lib.linux-aarch64-cpython-310/psutil
#10 49.05 copying psutil/__init__.py -> build/lib.linux-aarch64-cpython-310/psutil
#10 49.05 copying psutil/_common.py -> build/lib.linux-aarch64-cpython-310/psutil
#10 49.05 copying psutil/_psaix.py -> build/lib.linux-aarch64-cpython-310/psutil
#10 49.05 copying psutil/_psosx.py -> build/lib.linux-aarch64-cpython-310/psutil
#10 49.05 creating build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_memleaks.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_bsd.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_contracts.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_posix.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_osx.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_misc.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_windows.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/__main__.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_system.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_aix.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_linux.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_unicode.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/__init__.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_process.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_connections.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_sunos.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/test_testutils.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 copying psutil/tests/runner.py -> build/lib.linux-aarch64-cpython-310/psutil/tests
#10 49.05 running build_ext
#10 49.05 building 'psutil._psutil_linux' extension
#10 49.05 creating build/temp.linux-aarch64-cpython-310
#10 49.05 creating build/temp.linux-aarch64-cpython-310/psutil
#10 49.05 gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -DPSUTIL_POSIX=1 -DPSUTIL_SIZEOF_PID_T=4 -DPSUTIL_VERSION=595 -DPy_LIMITED_API=0x03060000 -DPSUTIL_ETHTOOL_MISSING_TYPES=1 -DPSUTIL_LINUX=1 -I/usr/local/include/python3.10 -c psutil/_psutil_common.c -o build/temp.linux-aarch64-cpython-310/psutil/_psutil_common.o
#10 49.05 psutil could not be installed from sources because gcc is not installed. Try running:
#10 49.05 sudo apt-get install gcc python3-dev
#10 49.05 error: command 'gcc' failed: No such file or directory
#10 49.05 [end of output]
#10 49.05
#10 49.05 note: This error originates from a subprocess, and is likely not a problem with pip.
#10 49.05 ERROR: Failed building wheel for psutil
#10 49.05 Building wheel for filterpy (setup.py): started
#10 49.23 Building wheel for filterpy (setup.py): finished with status 'done'
#10 49.23 Created wheel for filterpy: filename=filterpy-1.4.5-py3-none-any.whl size=110458 sha256=b8d084c6793f02e45791a8089759a05995bb5bca08a5c68d1c46b202751b6ea7
#10 49.23 Stored in directory: /root/.cache/pip/wheels/a4/80/24/0867e958c9459ae8d648d1adf89de38756d053debb1c9218d9
#10 49.23 Successfully built basicsr jsonmerge antlr4-python3-runtime font-roboto ffmpy future filterpy
#10 49.23 Failed to build psutil
#10 49.23 ERROR: Could not build wheels for psutil, which is required to install pyproject.toml-based projects
#10 49.23
#10 49.23 [notice] A new release of pip available: 22.3.1 -> 23.1.2
#10 49.23 [notice] To update, run: pip install --upgrade pip
------
executor failed running [/bin/bash -o pipefail -c git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git && cd stable-diffusion-webui && git reset --hard 89f9faa63388756314e8a1d96cf86bf5e0663045 && pip install -r requirements_versions.txt]: exit code: 1
RUN export COMMANDLINE_ARGS does not have effect
RUN export COMMANDLINE_ARGS="--skip-torch-cuda-test --precision full --no-half"
does not have effect in my local build. Without exporting such variable, the caching step has a few failure.
Changing it with "ARG COMMANDLINE_ARGS" does not make that step to fail.
The caching step is RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors .
I am a docker beginner, so I don't know if this is wanted or unwanted.
CUDA drivers?
Is there a reason a base image with CUDA drivers is not used? Such as nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu20.04?
Would be happy to create a PR.
Thanks
automatic1111 1.5.0 build error
I am trying to build this container with the latest a1111 version.
I changed the commit hash to the latest commit in the Dockerfile here:
RUN --mount=type=cache,target=/root/.cache/pip \
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git && \
cd stable-diffusion-webui && \
git reset --hard 68f336bd994bed5442ad95bad6b6ad5564a5409a && \
pip install -r requirements_versions.txt
and here
#1.5.0
ARG SHA=68f336bd994bed5442ad95bad6b6ad5564a5409a
RUN --mount=type=cache,target=/root/.cache/pip \
cd stable-diffusion-webui && \
git fetch && \
git reset --hard ${SHA} && \
pip install -r requirements_versions.txt
But during build, when cache.py is called, I get this error:
ERROR [stage-1 16/29] RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors 6.2s ------
> [stage-1 16/29] RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors:
#31 4.810 Warning: Stable Diffusion XL not found at path /stable-diffusion-webui/repositories/generative-models/sgm
#31 5.375 No module 'xformers'. Proceeding without it.
#31 5.383 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
#31 5.561 Traceback (most recent call last):
#31 5.561 File "/stable-diffusion-webui/cache.py", line 1, in <module>
#31 5.561 from webui import initialize
#31 5.561 File "/stable-diffusion-webui/webui.py", line 61, in <module>
#31 5.561 from modules import shared, sd_samplers, upscaler, extensions, localization, ui_tempdir, ui_extra_networks, config_states
#31 5.561 File "/stable-diffusion-webui/modules/sd_samplers.py", line 1, in <module>
#31 5.561 from modules import sd_samplers_compvis, sd_samplers_kdiffusion, shared
#31 5.561 File "/stable-diffusion-webui/modules/sd_samplers_compvis.py", line 9, in <module>
#31 5.561 from modules import sd_samplers_common, prompt_parser, shared
#31 5.561 File "/stable-diffusion-webui/modules/sd_samplers_common.py", line 5, in <module>
#31 5.561 from modules import devices, processing, images, sd_vae_approx, sd_samplers, sd_vae_taesd
#31 5.561 File "/stable-diffusion-webui/modules/processing.py", line 16, in <module>
#31 5.561 import modules.sd_hijack
#31 5.561 File "/stable-diffusion-webui/modules/sd_hijack.py", line 5, in <module>
#31 5.561 import modules.textual_inversion.textual_inversion
#31 5.561 File "/stable-diffusion-webui/modules/textual_inversion/textual_inversion.py", line 16, in <module>
#31 5.561 from modules import shared, devices, sd_hijack, processing, sd_models, images, sd_samplers, sd_hijack_checkpoint, errors, hashes
#31 5.561 File "/stable-diffusion-webui/modules/sd_models.py", line 17, in <module>
#31 5.561 from modules import paths, shared, modelloader, devices, script_callbacks, sd_vae, sd_disable_initialization, errors, hashes, sd_models_config, sd_unet, sd_models_xl
#31 5.561 File "/stable-diffusion-webui/modules/sd_models_config.py", line 9, in <module>
#31 5.561 sd_xl_repo_configs_path = os.path.join(paths.paths['Stable Diffusion XL'], "configs", "inference")
#31 5.561 KeyError: 'Stable Diffusion XL'
------
executor failed running [/bin/bash -o pipefail -c cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors]: exit code: 1
I tried running the build without using cache.py, but that doesnt start a1111 in the endpoint.
What exactly is cache.py doing and how do I need to adapt the steps so it works with 1.5.0 of automatic1111?
This is my current Dockerfile:
# ---------------------------------------------------------------------------- #
# Stage 1: Download the models #
# ---------------------------------------------------------------------------- #
FROM alpine/git:2.36.2 as download
COPY builder/clone.sh /clone.sh
# Clone the repos and clean unnecessary files
RUN . /clone.sh taming-transformers https://github.com/CompVis/taming-transformers.git 24268930bf1dce879235a7fddd0b2355b84d7ea6 && \
rm -rf data assets **/*.ipynb
RUN . /clone.sh stable-diffusion-stability-ai https://github.com/Stability-AI/stablediffusion.git cf1d67a6fd5ea1aa600c4df58e5b47da45f6bdbf && \
rm -rf assets data/**/*.png data/**/*.jpg data/**/*.gif
RUN . /clone.sh CodeFormer https://github.com/sczhou/CodeFormer.git c5b4593074ba6214284d6acd5f1719b6c5d739af && \
rm -rf assets inputs
RUN . /clone.sh BLIP https://github.com/salesforce/BLIP.git 48211a1594f1321b00f14c9f7a5b4813144b2fb9 && \
. /clone.sh k-diffusion https://github.com/crowsonkb/k-diffusion.git 5b3af030dd83e0297272d861c19477735d0317ec && \
. /clone.sh clip-interrogator https://github.com/pharmapsychotic/clip-interrogator 2486589f24165c8e3b303f84e9dbbea318df83e8
# RUN wget -O model.safetensors https://civitai.com/api/download/models/15236
WORKDIR /download
RUN wget -O model.safetensors https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors && ls -la
# ---------------------------------------------------------------------------- #
# Stage 3: Build the final image #
# ---------------------------------------------------------------------------- #
FROM python:3.10.9-slim
ENV DEBIAN_FRONTEND=noninteractive \
PIP_PREFER_BINARY=1 \
LD_PRELOAD=libtcmalloc.so \
ROOT=/stable-diffusion-webui \
PYTHONUNBUFFERED=1
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
RUN apt-get update && \
apt install -y \
fonts-dejavu-core rsync git jq moreutils aria2 wget libgoogle-perftools-dev procps && \
apt-get autoremove -y && rm -rf /var/lib/apt/lists/* && apt-get clean -y
RUN --mount=type=cache,target=/cache --mount=type=cache,target=/root/.cache/pip \
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
RUN --mount=type=cache,target=/root/.cache/pip \
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git && \
cd stable-diffusion-webui && \
git reset --hard 68f336bd994bed5442ad95bad6b6ad5564a5409a && \
pip install -r requirements_versions.txt
COPY --from=download /repositories/ ${ROOT}/repositories/
COPY --from=download /download/model.safetensors /model.safetensors
#COPY sd_xl_base_1.0.safetensors /model.safetensors
RUN mkdir ${ROOT}/interrogate && cp ${ROOT}/repositories/clip-interrogator/data/* ${ROOT}/interrogate
RUN --mount=type=cache,target=/root/.cache/pip \
pip install -r ${ROOT}/repositories/CodeFormer/requirements.txt
# Install Python dependencies (Worker Template)
COPY builder/requirements.txt /requirements.txt
RUN --mount=type=cache,target=/root/.cache/pip \
pip install --upgrade pip && \
pip install --upgrade -r /requirements.txt --no-cache-dir && \
rm /requirements.txt
#1.5.0
ARG SHA=68f336bd994bed5442ad95bad6b6ad5564a5409a
RUN --mount=type=cache,target=/root/.cache/pip \
cd stable-diffusion-webui && \
git fetch && \
git reset --hard ${SHA} && \
pip install -r requirements_versions.txt
ADD src .
WORKDIR /repositories
RUN git clone https://github.com/Stability-AI/generative-models.git
WORKDIR /
COPY builder/cache.py /stable-diffusion-webui/cache.py
RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors
WORKDIR /extensions
RUN git clone https://github.com/Mikubill/sd-webui-controlnet.git
RUN git clone https://github.com/Extraltodeus/multi-subject-render.git
WORKDIR /
# Copy the models and embeddings directories from the host to the container
COPY test_input.json /
COPY test_input_vanilla.json /
COPY models/Lora /stable-diffusion-webui/models/Lora
COPY models/ControlNet /stable-diffusion-webui/models/ControlNet
COPY models/openpose /stable-diffusion-webui/models/openpose
COPY embeddings /stable-diffusion-webui/embeddings
# Cleanup section (Worker Template)
RUN apt-get autoremove -y && \
apt-get clean -y && \
rm -rf /var/lib/apt/lists/*
RUN chmod +x /start.sh
CMD /start.sh
How to add LoRa in Dockerfile ?
Hello , Great work!
just one question, how to add LoRa in Dockerfile ?
Caching step is broken during image build
With a fresh clone running:
DOCKER_BUILDKIT=1 docker build . --tag my-acc/my-image --platform=linux/amd64
Fails in the hashing step of the Dockerfile:
COPY builder/cache.py /stable-diffusion-webui/cache.py
RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors
# ^ this
System: M1 OSX
Docker: version 24.0.2, build cb74dfc
Here is the output:
[+] Building 50.0s (27/30)
=> [internal] load metadata for docker.io/alpine/git:2.36.2 2.1s
=> [internal] load metadata for docker.io/library/python:3.10.9-slim 2.6s
=> [auth] alpine/git:pull token for registry-1.docker.io 0.0s
=> [auth] library/python:pull token for registry-1.docker.io 0.0s
[+] Building 50.1s (27/30)
=> => transferring context: 431B 0.0s
=> [stage-1 1/16] FROM docker.io/library/python:3.10.9-slim@sha256:76dd18d90a3d8710e091734bf2c9dd686d68747a51908db1e1f41e9a5ed4e2c5 0.0s
=> CACHED [stage-1 2/16] RUN apt-get update && apt install -y fonts-dejavu-core rsync git jq moreutils aria2 wget libgoogle-perftools-dev procps && apt-get autoremove -y && rm -rf /v 0.0s
=> CACHED [stage-1 3/16] RUN --mount=type=cache,target=/cache --mount=type=cache,target=/root/.cache/pip pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl 0.0s
=> CACHED [stage-1 4/16] RUN --mount=type=cache,target=/root/.cache/pip git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git && cd stable-diffusion-webui && git rese 0.0s
=> CACHED [download 2/7] COPY builder/clone.sh /clone.sh 0.0s
=> CACHED [download 3/7] RUN . /clone.sh taming-transformers https://github.com/CompVis/taming-transformers.git 24268930bf1dce879235a7fddd0b2355b84d7ea6 && rm -rf data assets **/*.ipynb 0.0s
=> CACHED [download 4/7] RUN . /clone.sh stable-diffusion-stability-ai https://github.com/Stability-AI/stablediffusion.git 47b6b607fdd31875c9279cd2f4f16b92e4ea958e && rm -rf assets data/**/*. 0.0s
=> CACHED [download 5/7] RUN . /clone.sh CodeFormer https://github.com/sczhou/CodeFormer.git c5b4593074ba6214284d6acd5f1719b6c5d739af && rm -rf assets inputs 0.0s
=> CACHED [download 6/7] RUN . /clone.sh BLIP https://github.com/salesforce/BLIP.git 48211a1594f1321b00f14c9f7a5b4813144b2fb9 && . /clone.sh k-diffusion https://github.com/crowsonkb/k-diffusi 0.0s
[+] Building 50.2s (27/30)
=> CACHED [download 3/7] RUN . /clone.sh taming-transformers https://github.com/CompVis/taming-transformers.git 24268930bf1dce879235a7fddd0b2355b84d7ea6 && rm -rf data assets **/*.ipynb 0.0s
=> CACHED [download 4/7] RUN . /clone.sh stable-diffusion-stability-ai https://github.com/Stability-AI/stablediffusion.git 47b6b607fdd31875c9279cd2f4f16b92e4ea958e && rm -rf assets data/**/*. 0.0s
=> CACHED [download 5/7] RUN . /clone.sh CodeFormer https://github.com/sczhou/CodeFormer.git c5b4593074ba6214284d6acd5f1719b6c5d739af && rm -rf assets inputs 0.0s
=> CACHED [download 6/7] RUN . /clone.sh BLIP https://github.com/salesforce/BLIP.git 48211a1594f1321b00f14c9f7a5b4813144b2fb9 && . /clone.sh k-diffusion https://github.com/crowsonkb/k-diffusi 0.0s
=> CACHED [download 7/7] RUN wget -O /model.safetensors https://civitai.com/api/download/models/15236 0.0s
[+] Building 368.0s (28/30)
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 3.65kB 0.0s
=> [internal] load metadata for docker.io/alpine/git:2.36.2 2.1s
=> [internal] load metadata for docker.io/library/python:3.10.9-slim 2.6s
=> [auth] alpine/git:pull token for registry-1.docker.io 0.0s
=> [auth] library/python:pull token for registry-1.docker.io 0.0s
=> [download 1/7] FROM docker.io/alpine/git:2.36.2@sha256:ec491c893597b68c92b88023827faa771772cfd5e106b76c713fa5e1c75dea84 0.0s
=> [internal] load build context 0.0s
=> => transferring context: 431B 0.0s
=> [stage-1 1/16] FROM docker.io/library/python:3.10.9-slim@sha256:76dd18d90a3d8710e091734bf2c9dd686d68747a51908db1e1f41e9a5ed4e2c5 0.0s
=> CACHED [stage-1 2/16] RUN apt-get update && apt install -y fonts-dejavu-core rsync git jq moreutils aria2 wget libgoogle-perftools-dev procps && apt-get autoremove -y && rm -rf /v 0.0s
=> CACHED [stage-1 3/16] RUN --mount=type=cache,target=/cache --mount=type=cache,target=/root/.cache/pip pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl 0.0s
=> CACHED [stage-1 4/16] RUN --mount=type=cache,target=/root/.cache/pip git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git && cd stable-diffusion-webui && git rese 0.0s
=> CACHED [download 2/7] COPY builder/clone.sh /clone.sh 0.0s
=> CACHED [download 3/7] RUN . /clone.sh taming-transformers https://github.com/CompVis/taming-transformers.git 24268930bf1dce879235a7fddd0b2355b84d7ea6 && rm -rf data assets **/*.ipynb 0.0s
=> CACHED [download 4/7] RUN . /clone.sh stable-diffusion-stability-ai https://github.com/Stability-AI/stablediffusion.git 47b6b607fdd31875c9279cd2f4f16b92e4ea958e && rm -rf assets data/**/*. 0.0s
=> CACHED [download 5/7] RUN . /clone.sh CodeFormer https://github.com/sczhou/CodeFormer.git c5b4593074ba6214284d6acd5f1719b6c5d739af && rm -rf assets inputs 0.0s
=> CACHED [download 6/7] RUN . /clone.sh BLIP https://github.com/salesforce/BLIP.git 48211a1594f1321b00f14c9f7a5b4813144b2fb9 && . /clone.sh k-diffusion https://github.com/crowsonkb/k-diffusi 0.0s
=> CACHED [download 7/7] RUN wget -O /model.safetensors https://civitai.com/api/download/models/15236 0.0s
=> CACHED [stage-1 5/16] COPY --from=download /repositories/ /stable-diffusion-webui/repositories/ 0.0s
=> CACHED [stage-1 6/16] COPY --from=download /model.safetensors /model.safetensors 0.0s
=> CACHED [stage-1 7/16] RUN mkdir /stable-diffusion-webui/interrogate && cp /stable-diffusion-webui/repositories/clip-interrogator/data/* /stable-diffusion-webui/interrogate 0.0s
=> CACHED [stage-1 8/16] RUN --mount=type=cache,target=/root/.cache/pip pip install -r /stable-diffusion-webui/repositories/CodeFormer/requirements.txt 0.0s
=> CACHED [stage-1 9/16] COPY builder/requirements.txt /requirements.txt 0.0s
=> CACHED [stage-1 10/16] RUN --mount=type=cache,target=/root/.cache/pip pip install --upgrade pip && pip install --upgrade -r /requirements.txt --no-cache-dir && rm /requirements.txt 0.0s
=> CACHED [stage-1 11/16] RUN --mount=type=cache,target=/root/.cache/pip cd stable-diffusion-webui && git fetch && git reset --hard 89f9faa63388756314e8a1d96cf86bf5e0663045 && pip 0.0s
=> CACHED [stage-1 12/16] ADD src . 0.0s
=> CACHED [stage-1 13/16] COPY builder/cache.py /stable-diffusion-webui/cache.py 0.0s
=> ERROR [stage-1 14/16] RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors 365.3s
------
> [stage-1 14/16] RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors:
#0 23.36 No module 'xformers'. Proceeding without it.
#0 23.40 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
#0 29.31 Calculating sha256 for /model.safetensors: Downloading: "https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model_base_caption_capfilt_large.pth" to /stable-diffusion-webui/models/BLIP/model_base_caption_capfilt_large.pth
#0 29.37
100%|██████████| 855M/855M [00:34<00:00, 26.2MB/s]
Downloading (…)solve/main/vocab.txt: 100%|██████████| 232k/232k [00:00<00:00, 696kB/s]
Downloading (…)okenizer_config.json: 100%|██████████| 28.0/28.0 [00:00<00:00, 61.7kB/s]
Downloading (…)lve/main/config.json: 100%|██████████| 570/570 [00:00<00:00, 1.24MB/s]
#0 141.3 9aba26abdfcd46073e0a1d42027a3a3bcc969f562d58a03637bf0a0ded6586c9
#0 141.3 Loading weights [9aba26abdf] from /model.safetensors
#0 142.3 Creating model from config: /stable-diffusion-webui/configs/v1-inference.yaml
#0 142.3 LatentDiffusion: Running in eps-prediction mode
#0 143.2 DiffusionWrapper has 859.52 M params.
Downloading (…)olve/main/vocab.json: 100%|██████████| 961k/961k [00:00<00:00, 1.99MB/s]
Downloading (…)olve/main/merges.txt: 100%|██████████| 525k/525k [00:00<00:00, 1.38MB/s]
Downloading (…)cial_tokens_map.json: 100%|██████████| 389/389 [00:00<00:00, 795kB/s]
Downloading (…)okenizer_config.json: 100%|██████████| 905/905 [00:00<00:00, 1.72MB/s]
Downloading (…)lve/main/config.json: 100%|██████████| 4.52k/4.52k [00:00<00:00, 8.20MB/s]
#0 176.0 Applying cross attention optimization (InvokeAI).
#0 176.1 Textual inversion embeddings loaded(0):
#0 176.1 Model loaded in 146.8s (calculate hash: 112.0s, load weights from disk: 0.9s, create model: 17.7s, apply weights to model: 7.1s, apply half(): 8.9s).
#0 233.6 load checkpoint from /stable-diffusion-webui/models/BLIP/model_base_caption_capfilt_large.pth
100%|███████████████████████████████████████| 890M/890M [01:20<00:00, 11.6MiB/s]
------
Dockerfile:76
--------------------
74 | #TODO caching
75 | COPY builder/cache.py /stable-diffusion-webui/cache.py
76 | >>> RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors
77 |
78 | # Cleanup section (Worker Template)
--------------------
wont work with latest commit
When updating the Dockerfile to A1111 1.6.0 here
ARG SHA=5ef669de080814067961f28357256e8fe27544f4
RUN --mount=type=cache,target=/root/.cache/pip \
cd stable-diffusion-webui && \
git fetch && \
git reset --hard ${SHA} && \
pip install -r requirements_versions.txt
I get this error during build:
=> ERROR [stage-1 14/16] RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors 4.5s
------
> [stage-1 14/16] RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors:
3.550 Warning: Stable Diffusion XL not found at path /stable-diffusion-webui/repositories/generative-models/sgm
3.905 Traceback (most recent call last):
3.905 File "/stable-diffusion-webui/cache.py", line 1, in <module>
3.905 from webui import initialize
3.905 File "/stable-diffusion-webui/webui.py", line 13, in <module>
3.905 initialize.imports()
3.905 File "/stable-diffusion-webui/modules/initialize.py", line 30, in imports
3.905 import sgm.modules.encoders.modules # noqa: F401
3.905 ModuleNotFoundError: No module named 'sgm'
------
Dockerfile:78
--------------------
76 |
77 | COPY builder/cache.py /stable-diffusion-webui/cache.py
78 | >>> RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors
79 |
80 | # Cleanup section (Worker Template)
--------------------
ERROR: failed to solve: process "/bin/bash -o pipefail -c cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors" did not complete successfully: exit code: 1
This is my Dockerfile:
# ---------------------------------------------------------------------------- #
# Stage 1: Download the models #
# ---------------------------------------------------------------------------- #
FROM alpine/git:2.36.2 as download
COPY builder/clone.sh /clone.sh
# Clone the repos and clean unnecessary files
RUN . /clone.sh taming-transformers https://github.com/CompVis/taming-transformers.git 24268930bf1dce879235a7fddd0b2355b84d7ea6 && \
rm -rf data assets **/*.ipynb
RUN . /clone.sh stable-diffusion-stability-ai https://github.com/Stability-AI/stablediffusion.git 47b6b607fdd31875c9279cd2f4f16b92e4ea958e && \
rm -rf assets data/**/*.png data/**/*.jpg data/**/*.gif
RUN . /clone.sh CodeFormer https://github.com/sczhou/CodeFormer.git c5b4593074ba6214284d6acd5f1719b6c5d739af && \
rm -rf assets inputs
RUN . /clone.sh BLIP https://github.com/salesforce/BLIP.git 48211a1594f1321b00f14c9f7a5b4813144b2fb9 && \
. /clone.sh k-diffusion https://github.com/crowsonkb/k-diffusion.git 5b3af030dd83e0297272d861c19477735d0317ec && \
. /clone.sh clip-interrogator https://github.com/pharmapsychotic/clip-interrogator 2486589f24165c8e3b303f84e9dbbea318df83e8
WORKDIR /download
RUN wget -O model.safetensors https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors
RUN wget -O sdxl_vae.safetensors https://huggingface.co/stabilityai/sdxl-vae/resolve/main/sdxl_vae.safetensors
# ---------------------------------------------------------------------------- #
# Stage 3: Build the final image #
# ---------------------------------------------------------------------------- #
FROM python:3.10.9-slim
ENV DEBIAN_FRONTEND=noninteractive \
PIP_PREFER_BINARY=1 \
LD_PRELOAD=libtcmalloc.so \
ROOT=/stable-diffusion-webui \
PYTHONUNBUFFERED=1
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
RUN apt-get update && \
apt install -y \
fonts-dejavu-core rsync git jq moreutils aria2 wget libgoogle-perftools-dev procps && \
apt-get autoremove -y && rm -rf /var/lib/apt/lists/* && apt-get clean -y
RUN --mount=type=cache,target=/cache --mount=type=cache,target=/root/.cache/pip \
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
RUN --mount=type=cache,target=/root/.cache/pip \
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git && \
cd stable-diffusion-webui && \
git reset --hard 5ef669de080814067961f28357256e8fe27544f4 && \
pip install -r requirements_versions.txt
COPY --from=download /repositories/ ${ROOT}/repositories/
COPY --from=download /download/model.safetensors /model.safetensors
RUN mkdir ${ROOT}/interrogate && cp ${ROOT}/repositories/clip-interrogator/data/* ${ROOT}/interrogate
RUN --mount=type=cache,target=/root/.cache/pip \
pip install -r ${ROOT}/repositories/CodeFormer/requirements.txt
# Install Python dependencies (Worker Template)
COPY builder/requirements.txt /requirements.txt
RUN --mount=type=cache,target=/root/.cache/pip \
pip install --upgrade pip && \
pip install --upgrade -r /requirements.txt --no-cache-dir && \
rm /requirements.txt
ARG SHA=5ef669de080814067961f28357256e8fe27544f4
RUN --mount=type=cache,target=/root/.cache/pip \
cd stable-diffusion-webui && \
git fetch && \
git reset --hard ${SHA} && \
pip install -r requirements_versions.txt
ADD src .
COPY builder/cache.py /stable-diffusion-webui/cache.py
RUN cd /stable-diffusion-webui && python cache.py --use-cpu=all --ckpt /model.safetensors
# Cleanup section (Worker Template)
RUN apt-get autoremove -y && \
apt-get clean -y && \
rm -rf /var/lib/apt/lists/*
RUN chmod +x /start.sh
CMD /start.sh
cannot create serverless template
I want to run WebUI API mode using Runpod serverless GPU using the image in this repo and cannot save template - any pointers?
Do you have a tutorial to show how to run WebUI API mode using Runpod?
Thanks!
https://www.runpod.io/console/serverless/user/templates
how to upload image to S3
after deploy on runpod serverless, query task will get a image with base64, how to get a image.png and upload to S3?
Unable to start Web UI - OSError undefined symbol
Sorry, wrong repo.
Version conflict
I could build working images with requirements.txt like
-pydantic<2
+pydantic
-Pillow==10.2.0
+Pillow
-gradio==4.11.0
+gradio
+# added to fix version conflict
+httpx==0.24.1
+torchmetrics==0.11.4
+slack_sdk
but couldn't resolve ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor' without following hack
RUN sed -i 's/from torchvision.transforms.functional_tensor import rgb_to_grayscale/from torchvision.transforms.functional import rgb_to_grayscale/' /usr/local/lib/python3.10/site-packages/basicsr/data/degradations.py
I think requirements.txt must be updated.
This file is not there anymore https://civitai.com/api/download/models/15236
Return 404
Docker code return 8
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.