
yanwk/comfyui-boot
这是一个用于启动加载ComfyUI的Docker镜像,其中ComfyUI是一款在AI绘画领域广泛应用的强大工具,具备灵活的工作流定制与丰富的插件扩展功能;该Docker镜像通过预先配置必要的运行环境、集成关键依赖组件,旨在简化ComfyUI的部署流程,帮助用户无需手动进行复杂的环境搭建,即可快速启动并高效使用ComfyUI开展绘画创作、模型测试等相关工作,为AI绘画爱好者和开发者提供便捷、稳定的启动加载解决方案。
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只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
ComfyUI
https://github.com/YanWenKun/ComfyUI-Docker
https://github.com/YanWenKun/ComfyUI-Docker/blob/main/README.zh.adoc
Docker images for https://github.com/Comfy-Org/ComfyUI - an AIGC GUI powering node-based workflow.
Quick Start - NVIDIA GPU
shmkdir -p \ storage-cache/dot-cache \ storage-cache/dot-config \ storage-nodes/dot-local \ storage-nodes/custom_nodes \ storage-models/models \ storage-models/hf-hub \ storage-models/torch-hub \ storage-user/input \ storage-user/output \ storage-user/user-profile \ storage-user/user-scripts # Add sudo if needed docker run -it --rm \ --name comfyui-cu130 \ --pull=always \ --runtime=nvidia \ --gpus all \ -p 8188:8188 \ -v "$(pwd)"/storage-cache/dot-cache:/root/.cache \ -v "$(pwd)"/storage-cache/dot-config:/root/.config \ -v "$(pwd)"/storage-nodes/dot-local:/root/.local \ -v "$(pwd)"/storage-nodes/custom_nodes:/root/ComfyUI/custom_nodes \ -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/user-profile:/root/ComfyUI/user \ -v "$(pwd)"/storage-user/user-scripts:/root/user-scripts \ -e CLI_ARGS="" \ yanwk/comfyui-boot:cu130-slim-v2
Once the app is loaded, visit http://localhost:8188/
CUDA Image Tags - Slim
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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cu130-slim-v2https://github.com/YanWenKun/ComfyUI-Docker/tree/main/cu130-slim-v2 ⭐- Using CUDA 13.0, Python 3.13 (with GIL). No xFormers by default
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cu126-slimhttps://github.com/YanWenKun/ComfyUI-Docker/tree/main/cu126-slim- Using CUDA 12.6, Python 3.12
CUDA Image Tags - MEGAPAK
All-in-one bundles, including dev kits and many Custom Nodes for ComfyUI.
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cu130-megapak-pt211https://github.com/YanWenKun/ComfyUI-Docker/tree/main/cu130-megapak-pt211- Using CUDA 13.0, Python 3.13 (with GIL), GCC 14, PyTorch 2.11.0
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cu126-megapakhttps://github.com/YanWenKun/ComfyUI-Docker/tree/main/cu126-megapak- Using CUDA 12.6, Python 3.12, GCC 13, PyTorch 2.9.1
More Image Tags
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rocmhttps://github.com/YanWenKun/ComfyUI-Docker/tree/main/rocm- For AMD GPU with ROCm.
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xpuhttps://github.com/YanWenKun/ComfyUI-Docker/tree/main/xpu- For Intel GPU with XPU.
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cpuhttps://github.com/YanWenKun/ComfyUI-Docker/tree/main/cpu- For CPU only.
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nightlyhttps://github.com/YanWenKun/ComfyUI-Docker/tree/main/nightly- Using preview version of PyTorch (CUDA).
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https://github.com/YanWenKun/ComfyUI-Docker/tree/main/archived
- Archived Dockerfiles of retired image tags.
For more detailed docs, check https://github.com/YanWenKun/ComfyUI-Docker.
Deployment & Usage Documentation
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