Workflow Ep49 Wan2 2 1 Vace Gguf Image To Video

workflow_ep49_wan2_2_1_vace_gguf_image_to_video

Imported workflow skill generated from Ep49 Wan2 2.1 Vace GGUF Image 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

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
• Output modalities: video/mp4
• Model families: sd3, wan
• Node count: 15
• 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

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.