---

name: workflow_ep49_wan2_2_1_vace_gguf_video_to_video description: > Workflow wrapper imported from Ep49 Wan2 2.1 Vace GGUF Video To Video.json. homepage: https://github.com/steliosot/comfy-agent metadata.clawdbot.os: ["darwin", "linux"] metadata.clawdbot.requires.bins: ["python3"] metadata.clawdbot.requires.env: ["COMFY_URL", "COMFY_AUTH_HEADER"] metadata.clawdbot.files: ["workflow.json", "skill.py", "skill.yaml", "scripts/*"] metadata.clawdbot.tags: ["comfyui", "workflow", "library", "video_t2v_i2v_avatar"] metadata.clawdbot.category: "media-generation" metadata.clawdbot.input_type: "image/png" metadata.clawdbot.output_type: "video/mp4" metadata.clawdbot.output_can_feed_into: [] metadata.clawdbot.accepts_input_from: [] metadata.clawdbot.priority: 60

workflow_ep49_wan2_2_1_vace_gguf_video_to_video

Imported workflow skill generated from Ep49 Wan2 2.1 Vace GGUF Video To Video.json.

Family

• video_t2v_i2v_avatar

Inputs

• Optional runtime overrides supported by run(...):
  • prompt
  • negative_prompt
  • width, height
  • seed, steps, cfg
  • sampler_name, scheduler, denoise
  • server, headers, api_prefix

Outputs

• Returns JSON with:
  • status
  • prompt_id
  • output_images

Model Requirements

• diffusion_model: Wan2.1-VACE-14B-Q4_K_M.gguf -> models/diffusion_models
• clip: umt5_xxl_fp8_e4m3fn_scaled.safetensors -> models/clip
• vae: wan_2.1_vae.safetensors -> models/vae

Custom Node Requirements

• comfyui-gguf
• comfyui_controlnet_aux

Links

• https://discord.com/invite/gggpkVgBf3
• https://docs.comfy.org/tutorials/video/wan/vace
• https://github.com/ali-vilab/VACE
• https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp16.safetensors?download=true
• https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors?download=true
• https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors?download=true
• https://huggingface.co/QuantStack/Wan2.1-VACE-14B-GGUF/resolve/main/Wan2.1-VACE-14B-Q4_K_M.gguf?download=true
• https://huggingface.co/QuantStack/Wan2.1-VACE-14B-GGUF/tree/main
• https://www.youtube.com/@pixaroma

Routing Metadata

• Family: video_t2v_i2v_avatar
• Input modalities: image, text_prompt, video
• Output modalities: image/png, video/mp4
• Model families: sd3, wan
• Node count: 19
• Complexity score: 8
• Resource profile: high
• Estimated runtime: slow (often 2-6 min depending on model/server load)
• Max latent resolution hint: NonexNone
• Max sampler steps hint: 20

Detected Models

• diffusion_model: Wan2.1-VACE-14B-Q4_K_M.gguf -> models/diffusion_models
• clip: umt5_xxl_fp8_e4m3fn_scaled.safetensors -> models/clip
• vae: wan_2.1_vae.safetensors -> models/vae

Detected Custom Nodes

• comfyui-gguf
• comfyui_controlnet_aux

Runtime Warnings

• Large model(s) detected; ensure enough VRAM and disk space.
• Uses custom nodes; missing nodes can cause validation/runtime failures.
• Video workflow: usually slower and VRAM-intensive than still-image workflows.