Curated Sonic Talking Avatar Landscape 1024x576px

curated_sonic_talking_avatar_landscape_1024x576px

Curated workflow skill generated from Sonic Talking Avatar Landscape 1024x576px.json.

Capability 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 (includes image/video entries reported by Comfy history)

Model Requirements

• None detected from loader nodes.

Custom Node Requirements

• comfyui-easy-use
• comfyui-videohelpersuite
• pr-was-node-suite-comfyui-47064894

Links Extracted From Workflow Notes

• https://discord.com/invite/gggpkVgBf3
• https://drive.google.com/drive/folders/1QIIDvCDU-rp1ZB8qDA6NQqVn8F9WYMhE
• https://drive.google.com/drive/folders/1jI32B-2JX17seSGG0-MnZgUhCMHCEZlx
• https://drive.google.com/drive/folders/1oe8VTPUy0-MHHW2a_NJ1F8xL-0VN5G7W
• https://github.com/smthemex/ComfyUI_Sonic
• https://huggingface.co/openai/whisper-tiny/tree/main
• https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt-1-1/tree/main
• https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt/tree/main
• https://www.youtube.com/@pixaroma

Source

• Original: comfy-data/workflows/Sonic Talking Avatar Landscape 1024x576px.json

Routing Metadata

• Family: video_t2v_i2v_avatar
• Input modalities: audio, image
• Output modalities: image/png, video/mp4
• Model families: other
• Node count: 13
• Complexity score: 7
• Resource profile: high
• Estimated runtime: slow (often 2-6 min depending on model/server load)
• Max latent resolution hint: NonexNone
• Max sampler steps hint: None

Detected Models

• None detected.

Detected Custom Nodes

• comfyui-easy-use
• comfyui-videohelpersuite
• pr-was-node-suite-comfyui-47064894

Runtime Warnings

• Audio generation may take longer on CPU-only or low-VRAM servers.
• Uses custom nodes; missing nodes can cause validation/runtime failures.
• Video workflow: usually slower and VRAM-intensive than still-image workflows.