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# Disco-specfic ignores |
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init_images/* |
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images_out/* |
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MiDaS/ |
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models/ |
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pretrained/* |
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settings.json |
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# Byte-compiled / optimized / DLL files |
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__pycache__/ |
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*.py[cod] |
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*$py.class |
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# C extensions |
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*.so |
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# Distribution / packaging |
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.Python |
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build/ |
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develop-eggs/ |
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dist/ |
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downloads/ |
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eggs/ |
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.eggs/ |
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lib/ |
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lib64/ |
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parts/ |
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sdist/ |
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var/ |
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wheels/ |
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share/python-wheels/ |
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*.egg-info/ |
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.installed.cfg |
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*.egg |
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MANIFEST |
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# PyInstaller |
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# Usually these files are written by a python script from a template |
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# before PyInstaller builds the exe, so as to inject date/other infos into it. |
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*.manifest |
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*.spec |
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# Installer logs |
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pip-log.txt |
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pip-delete-this-directory.txt |
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# Unit test / coverage reports |
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htmlcov/ |
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.tox/ |
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.nox/ |
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.coverage |
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.coverage.* |
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.cache |
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nosetests.xml |
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coverage.xml |
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*.cover |
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*.py,cover |
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.hypothesis/ |
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.pytest_cache/ |
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cover/ |
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# Translations |
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*.mo |
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*.pot |
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# Django stuff: |
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*.log |
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local_settings.py |
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db.sqlite3 |
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db.sqlite3-journal |
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# Flask stuff: |
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instance/ |
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.webassets-cache |
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# Scrapy stuff: |
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.scrapy |
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# Sphinx documentation |
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docs/_build/ |
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# PyBuilder |
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.pybuilder/ |
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target/ |
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# Jupyter Notebook |
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.ipynb_checkpoints |
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# IPython |
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profile_default/ |
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ipython_config.py |
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# pyenv |
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# For a library or package, you might want to ignore these files since the code is |
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# intended to run in multiple environments; otherwise, check them in: |
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# .python-version |
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# pipenv |
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. |
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# However, in case of collaboration, if having platform-specific dependencies or dependencies |
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# having no cross-platform support, pipenv may install dependencies that don't work, or not |
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# install all needed dependencies. |
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#Pipfile.lock |
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow |
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__pypackages__/ |
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# Celery stuff |
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celerybeat-schedule |
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celerybeat.pid |
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# SageMath parsed files |
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*.sage.py |
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# Environments |
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.env |
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.venv |
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env/ |
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venv/ |
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ENV/ |
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env.bak/ |
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venv.bak/ |
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# Spyder project settings |
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.spyderproject |
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.spyproject |
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# Rope project settings |
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.ropeproject |
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# mkdocs documentation |
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/site |
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# mypy |
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.mypy_cache/ |
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.dmypy.json |
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dmypy.json |
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# Pyre type checker |
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.pyre/ |
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# pytype static type analyzer |
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.pytype/ |
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# Cython debug symbols |
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cython_debug/ |
@ -0,0 +1,47 @@ |
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# Docker |
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## Introduction |
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This is a Docker build file that will preinstall dependencies, packages, Git repos, and pre-cache the large model files needed by Disco Diffusion. |
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## TO-DO: |
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- Make container actually accept parameters on run. Right now you'll just be seeing lighthouses. |
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## Change Log |
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- `1.0` |
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Initial build file created based on the DD 5.1 Git repo. This initial build is deliberately meant to work touch-free of any of the existing Python code written. It does handle some of the pre-setup tasks already done in the Python code such as pip packages, Git clones, and even pre-caching the model files for faster launch speed. |
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## Build the Prep Image |
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The prep image is broken out from the `main` folder's `Dockerfile` to help with long build context times (or wget download times after intitial build.) This prep image build contains all the large model files required by Disco Diffusion. |
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From a terminal in the `docker/prep` directory, run: |
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```sh |
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docker build -t disco-diffusion-prep:5.1 . |
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``` |
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From a terminal in the `docker/main` directory, run: |
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## Build the Image |
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From a terminal, run: |
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```sh |
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docker build -t disco-diffusion:5.1 . |
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``` |
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## Run as a Container |
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This example runs Disco Diffusion in a Docker container. It maps `images_out` and `init_images` to the container's working directory to access by the host OS. |
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```sh |
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docker run --rm -it \ |
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-v $(echo ~)/disco-diffusion/images_out:/workspace/code/images_out \ |
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-v $(echo ~)/disco-diffusion/init_images:/workspace/code/init_images \ |
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--gpus=all \ |
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--name="disco-diffusion" --ipc=host \ |
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--user $(id -u):$(id -g) \ |
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disco-diffusion:5.1 python disco-diffusion/disco.py |
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``` |
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## Passing Parameters |
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This will be added after conferring with repo authors. |
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# Model prep phase, also cuts down on build context wait time since these models files |
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# are large and prone to take long to copy... |
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FROM disco-diffusion-prep:5.1 AS modelprep |
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FROM nvcr.io/nvidia/pytorch:21.08-py3 |
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ENV PYTHONDONTWRITEBYTECODE 1 |
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ENV PYTHONUNBUFFERED 1 |
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# Install a few dependencies |
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RUN apt update |
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RUN DEBIAN_FRONTEND=noninteractive TZ=Etc/UTC apt-get -y install -y tzdata imagemagick |
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# Create a disco user |
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RUN useradd -ms /bin/bash disco |
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USER disco |
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# Set up code directory |
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RUN mkdir code |
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WORKDIR /workspace/code |
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# Copy over models used |
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COPY --from=modelprep /scratch/models /workspace/code/models |
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COPY --from=modelprep /scratch/pretrained /workspace/code/pretrained |
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# Clone Git repositories |
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RUN git clone https://github.com/alembics/disco-diffusion.git && \ |
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git clone https://github.com/openai/CLIP && \ |
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git clone https://github.com/assafshocher/ResizeRight.git && \ |
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git clone https://github.com/MSFTserver/pytorch3d-lite.git && \ |
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git clone https://github.com/isl-org/MiDaS.git && \ |
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git clone https://github.com/crowsonkb/guided-diffusion.git && \ |
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git clone https://github.com/shariqfarooq123/AdaBins.git |
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# Install Python packages |
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RUN pip install imageio imageio-ffmpeg==0.4.4 pyspng==0.1.0 lpips datetime timm ipywidgets omegaconf>=2.0.0 pytorch-lightning>=1.0.8 torch-fidelity einops wandb pandas ftfy |
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# Precache other big files |
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COPY --chown=disco --from=modelprep /scratch/clip /home/disco/.cache/clip |
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COPY --chown=disco --from=modelprep /scratch/model-lpips/vgg16-397923af.pth /home/disco/.cache/torch/hub/checkpoints/vgg16-397923af.pth |
@ -0,0 +1,25 @@ |
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FROM nvcr.io/nvidia/pytorch:21.08-py3 AS prep |
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RUN mkdir -p /scratch/models && \ |
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mkdir -p /scratch/models/superres && \ |
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mkdir -p /scratch/models/slip && \ |
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mkdir -p /scratch/model-lpips && \ |
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mkdir -p /scratch/clip && \ |
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mkdir -p /scratch/pretrained |
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RUN wget --progress=bar:force:noscroll -P /scratch/model-lpips https://download.pytorch.org/models/vgg16-397923af.pth |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/models https://github.com/intel-isl/DPT/releases/download/1_0/dpt_large-midas-2f21e586.pt |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/models https://v-diffusion.s3.us-west-2.amazonaws.com/512x512_diffusion_uncond_finetune_008100.pt |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/models https://openaipublic.blob.core.windows.net/diffusion/jul-2021/256x256_diffusion_uncond.pt |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/models https://v-diffusion.s3.us-west-2.amazonaws.com/secondary_model_imagenet_2.pth |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/pretrained https://cloudflare-ipfs.com/ipfs/Qmd2mMnDLWePKmgfS8m6ntAg4nhV5VkUyAydYBp8cWWeB7/AdaBins_nyu.pt |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/clip/ https://openaipublic.azureedge.net/clip/models/afeb0e10f9e5a86da6080e35cf09123aca3b358a0c3e3b6c78a7b63bc04b6762/RN50.pt |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/clip https://openaipublic.azureedge.net/clip/models/8fa8567bab74a42d41c5915025a8e4538c3bdbe8804a470a72f30b0d94fab599/RN101.pt |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/clip https://openaipublic.azureedge.net/clip/models/7e526bd135e493cef0776de27d5f42653e6b4c8bf9e0f653bb11773263205fdd/RN50x4.pt |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/clip https://openaipublic.azureedge.net/clip/models/52378b407f34354e150460fe41077663dd5b39c54cd0bfd2b27167a4a06ec9aa/RN50x16.pt |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/clip https://openaipublic.azureedge.net/clip/models/be1cfb55d75a9666199fb2206c106743da0f6468c9d327f3e0d0a543a9919d9c/RN50x64.pt |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/clip https://openaipublic.azureedge.net/clip/models/40d365715913c9da98579312b702a82c18be219cc2a73407c4526f58eba950af/ViT-B-32.pt |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/clip https://openaipublic.azureedge.net/clip/models/5806e77cd80f8b59890b7e101eabd078d9fb84e6937f9e85e4ecb61988df416f/ViT-B-16.pt |
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RUN wget --no-directories --progress=bar:force:noscroll -P /scratch/clip https://openaipublic.azureedge.net/clip/models/b8cca3fd41ae0c99ba7e8951adf17d267cdb84cd88be6f7c2e0eca1737a03836/ViT-L-14.pt |
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Reference in new issue