English | 🀄 中文说明
This repo is for Docker images that runs ComfyUI - a Stable Diffusion GUI powering node-based workflow.
mkdir -p \
storage \
storage-models/models \
storage-models/hf-hub \
storage-models/torch-hub \
storage-user/input \
storage-user/output \
storage-user/workflows
docker run -it --rm \
--name comfyui \
--runtime nvidia \
--gpus all \
-p 8188:8188 \
-v "$(pwd)"/storage:/root \
-v "$(pwd)"/storage-models/models:/root/ComfyUI/models \
-v "$(pwd)"/storage-models/hf-hub:/root/.cache/huggingface/hub \
-v "$(pwd)"/storage-models/torch-hub:/root/.cache/torch/hub \
-v "$(pwd)"/storage-user/input:/root/ComfyUI/input \
-v "$(pwd)"/storage-user/output:/root/ComfyUI/output \
-v "$(pwd)"/storage-user/workflows:/root/ComfyUI/user/default/workflows \
-e CLI_ARGS="--disable-xformers" \
yanwk/comfyui-boot:cu128-slimThe supported CUDA versions for each GPU architecture are shown in the table below:
| GPU Architecture | Blackwell | Hopper | Ada Lovelace | Ampere | Turing | Volta | Pascal | Maxwell |
|---|---|---|---|---|---|---|---|---|
Example GPU |
RTX 5090 |
H100 |
RTX 4090 |
RTX 3090 |
RTX 2080 |
TITAN V |
GTX 1080 |
GTX 980 |
cu130 |
✔️ |
✔️ |
✔️ |
✔️ |
✔️ |
❌ |
❌ |
❌ |
cu128 ⭐ |
✔️ |
✔️ |
✔️ |
✔️ |
✔️ |
✔️ |
❌ |
❌ |
cu126 |
❌ |
✔️ |
✔️ |
✔️ |
✔️ |
✔️ |
✔️ |
✔️ |
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CUDA 12.8 images are currently recommended, in line with PyTorch’s development plan.
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If you are unsure about your NVIDIA GPU architecture, see this article.
|
Note
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These CUDA compatibility limitations are due to the PyTorch toolchain, not the NVIDIA CUDA Toolkit. For more information, refer to the PyTorch build script. |
The slim images start with only ComfyUI and ComfyUI-Manager, yet include many dependencies to make future Custom Node installation easier. Recommended for beginners.
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CUDA 12.6, Python 3.12
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CUDA 12.8, Python 3.12
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CUDA 13.0, Python 3.13 (with GIL), No xFormers
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The megapak images are all-in-one bundles, including development kits and dozens of Custom Nodes for ComfyUI.
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CUDA 12.6, Python 3.12, GCC 13
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CUDA 12.8, Python 3.12, GCC 14
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Using development version of PyTorch. For testing latest features.
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This open source license is written and valid both in Chinese and English, how good is that!