Initial
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22
Dockerfile
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22
Dockerfile
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FROM pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime
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ARG TAG_VERSION=v0.0.1
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ENV DEBIAN_FRONTEND=noninteractive PIP_PREFER_BINARY=1
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RUN apt-get update && apt-get install -y git && apt-get clean
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ENV ROOT=/stable-diffusion
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RUN --mount=type=cache,target=/root/.cache/pip \
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git clone https://github.com/comfyanonymous/ComfyUI.git ${ROOT} && \
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cd ${ROOT} && \
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git checkout ${TAG_VERSION} && \
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pip install -r requirements.txt
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WORKDIR ${ROOT}
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COPY . /docker/
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RUN chmod u+x /docker/entrypoint.sh && cp /docker/extra_model_paths.yaml ${ROOT}
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ENV NVIDIA_VISIBLE_DEVICES=all PYTHONPATH="${PYTHONPATH}:${PWD}" CLI_ARGS=""
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EXPOSE 7860
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ENTRYPOINT ["/docker/entrypoint.sh"]
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CMD python -u main.py --listen --port 7860 ${CLI_ARGS}
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31
entrypoint.sh
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entrypoint.sh
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#!/bin/bash
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set -Eeuo pipefail
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mkdir -vp /data/config/comfy/custom_nodes
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declare -A MOUNTS
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MOUNTS["/root/.cache"]="/data/.cache"
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MOUNTS["${ROOT}/input"]="/data/config/comfy/input"
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MOUNTS["${ROOT}/output"]="/output/comfy"
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for to_path in "${!MOUNTS[@]}"; do
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set -Eeuo pipefail
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from_path="${MOUNTS[${to_path}]}"
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rm -rf "${to_path}"
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if [ ! -f "$from_path" ]; then
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mkdir -vp "$from_path"
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fi
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mkdir -vp "$(dirname "${to_path}")"
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ln -sT "${from_path}" "${to_path}"
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echo Mounted $(basename "${from_path}")
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done
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if [ -f "/data/config/comfy/startup.sh" ]; then
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pushd ${ROOT}
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. /data/config/comfy/startup.sh
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popd
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fi
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exec "$@"
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25
extra_model_paths.yaml
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25
extra_model_paths.yaml
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a111:
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base_path: /data
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checkpoints: models/Stable-diffusion
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configs: models/Stable-diffusion
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vae: models/VAE
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loras: models/Lora
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upscale_models: |
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models/RealESRGAN
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models/ESRGAN
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models/SwinIR
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models/GFPGAN
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hypernetworks: models/hypernetworks
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controlnet: models/ControlNet
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gligen: models/GLIGEN
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clip: models/CLIPEncoder
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embeddings: embeddings
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custom_nodes: config/comfy/custom_nodes
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# TODO: I am unsure about these, need more testing
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# style_models: config/comfy/style_models
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# t2i_adapter: config/comfy/t2i_adapter
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# clip_vision: config/comfy/clip_vision
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# diffusers: config/comfy/diffusers
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