UNPKG

comfyui-mcp

Version:

Local-first, agent-native control plane for ComfyUI — MCP server + autonomous sidebar agent that drives your live graph in natural language on ANY LLM: Claude/ChatGPT/Gemini on your subscription (no API key), free local models via Ollama (fully offline),

46 lines (45 loc) • 2.42 kB
name: wan-animate-character display_name: WAN Animate 2.2 — Character Replace (standalone) family: wan kind: video description: >- WAN Animate 2.2 video-to-video character / motion replacement built on the kijai WanVideoWrapper ecosystem. Drives a reference character with the pose, expression and motion of a driving video (ViTPose + YOLOv10 detection, SeC precise video segmentation for masking, relight LoRA for compositing). Uses the 14B fp8-scaled WAN Animate model plus the lightx2v step-distill LoRA for fast sampling. Single-pipeline graph sliced from the wan-animate monolith (PARAM output groups, un-bypassed into a standalone graph — no group toggles). For the maintained/recommended character-animation pipeline, prefer the `artokun-flow` pack. vram: 24GB+ workflow: workflow.json skill: wan-t2v-video launch_args: [] sources: mirror: https://huggingface.co/Aitrepreneur/FLX wanvideo_wrapper: https://github.com/kijai/ComfyUI-WanVideoWrapper wan_animate_preprocess: https://github.com/kijai/ComfyUI-WanAnimatePreprocess secnodes: https://github.com/9nate-drake/Comfyui-SecNodes notes: - Run the generated installer from your ComfyUI root (the folder containing custom_nodes/ and models/). On the Windows portable build that is ...\ComfyUI_windows_portable\ComfyUI\. - Sliced + un-bypassed from the monolith's WAN Animate pipeline (PARAM-group VHS_VideoCombine outputs seed the slice; masking + pose/detection pulled in via the backward closure). - Requires SageAttention + Triton for the WanVideoWrapper sampler. Install them with install_triton_and_sageattention_auto.bat (run from ...\ComfyUI_windows_portable\python_embeded\). - 'Dtype error "self and mat2 must have the same dtype": delete and re-clone kijai/ComfyUI-WanVideoWrapper, then reinstall its requirements.txt with the portable python.' - 'RTX 5000-series onnxruntime "QuickGelu" / CUDA provider error on the ViTPose detection: pin onnxruntime==1.20.1.' - Masking has two paths — SeC precise masking (SeC-4B model, manual/prompted) or auto masking. SeC is the default; pick the matching mask / background_image getter per the in-graph notes. post_install: - Restart ComfyUI (or use ComfyUI-Manager -> Install missing custom nodes for any node Python deps). - Run install_triton_and_sageattention_auto.bat before first generate. - Load workflow.json.