Docker image for ComfyUI video generation, supporting models such as LTX 2.3, Wan 2.2, and more. Built on RunPod PyTorch.
# Pull and run
docker pull ghcr.io/loan-mgt/comfyui-wan:latest
docker run -d --name comfyui --gpus all -p 8188:8888 ghcr.io/loan-mgt/comfyui-wan:latestAccess at: http://localhost:8188
- RunPod Base: Built on
runpod/pytorchwith CUDA 12.8.1 and PyTorch 2.8.0 - uv Package Manager: System-level Python dependencies managed with
uv - Fast HF Downloads:
HF_XET_HIGH_PERFORMANCE=1enabled for accelerated Hugging Face transfers - Custom LoRA Support: Download custom LoRA models from Hugging Face at startup via
--model - Private Model Support: Pass a Hugging Face token at runtime via
--hf-token - Bundled Custom Nodes:
- Docker with GPU support
- NVIDIA GPU (16 GB+ VRAM recommended)
Mount a local directory so models survive container restarts:
docker run -d --name comfyui --gpus all -p 8188:8888 \
-v /path/to/models:/app/ComfyUI/models \
ghcr.io/loan-mgt/comfyui-wan:latest| Variable | Default | Description |
|---|---|---|
COMFYUI_DIR |
/app/ComfyUI |
ComfyUI installation directory |
HF_HOME |
/app/ComfyUI/models/.cache/huggingface/ |
Hugging Face cache location |
HF_XET_HIGH_PERFORMANCE |
1 |
Enables high-performance Xet-backed HF transfers |
- Dependencies are installed system-wide using
uv pip install --system - ComfyUI is started with
python3 main.py --listen 0.0.0.0 --port 8888
Download LoRA models from Hugging Face at startup using --model. Files are saved to models/loras/{filename}.
# Single LoRA
docker run -d --name comfyui --gpus all -p 8188:8888 \
ghcr.io/loan-mgt/comfyui-wan:latest \
--model "user/repo lora_weights.safetensors"
# Multiple LoRAs
docker run -d --name comfyui --gpus all -p 8188:8888 \
ghcr.io/loan-mgt/comfyui-wan:latest \
--model "user/repo style_lora.safetensors" \
--model "another/repo character_lora.safetensors"--model format: "repo_id filename" (space-separated)
docker run -d --name comfyui --gpus all -p 8188:8888 \
ghcr.io/loan-mgt/comfyui-wan:latest \
--hf-token "hf_yourTokenHere" \
--model "private-user/private-repo model.safetensors"