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@stepupgaming/comfy-workflow-h3-face-refine

v0.1.1

Published

Track/crop faces, H3 denoise 0.35, stitch back. Gemmy `video h3 face-refine`.

Readme

H3 Face Refine

Track/crop faces, H3 denoise 0.35, stitch back. Gemmy video h3 face-refine.

Unofficial project. Not affiliated with or endorsed by Comfy Org.

Purpose

Sharpen faces in an H3 video without rewriting the whole clip.

AUTHORING SOURCE: ir.build.ts. GENERATED: workflow.ir.json, comfy.workflow.json, prompt.template.json — do not hand-edit. Rebuild with pnpm comfy:build from comfy-workflows/. Gemmy runtime binds prompt.template.json (Python, no Node).

Install

pnpm add @stepupgaming/comfy-workflow-h3-face-refine

Required parameters

  • video
  • prompt

Optional parameters

  • detector (default "face_yolov8m.pt")
  • unet (default "minimax_h3_fl2va_pruned_int8_convrot.safetensors")
  • clip (default "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors")
  • video_vae (default "minimax_h3_video_vae_fp16.safetensors")
  • length (default 124)
  • seed (default 42)
  • steps (default 8)
  • denoise (default 0.35)
  • output_prefix (default "h3/face")

Custom node packs

  • ComfyUI-H3-FaceRefine

Node classes

  • CLIPLoader
  • ConditioningZeroOut
  • CreateVideo
  • GetVideoComponents
  • H3FaceStitch
  • H3FaceTrackCrop
  • H3InjectVideoLatent
  • KSampler
  • LoadVideo
  • MiniMaxH3ImageToVideo
  • MiniMaxH3SigmaShift
  • SaveVideo
  • UNETLoader
  • VAEDecode
  • VAELoader

Models

  • model: minimax_h3_fl2va_pruned_int8_convrot.safetensors
  • model: qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
  • model: minimax_h3_video_vae_fp16.safetensors

Do not publish model binaries. Filenames are defaults from Gemmy's H3/Krea layout; they are not universally available.

Inspect & run

cwf inspect @stepupgaming/comfy-workflow-h3-face-refine --url http://127.0.0.1:8188
cwf run @stepupgaming/comfy-workflow-h3-face-refine --url http://127.0.0.1:8188 --param prompt=...

License

MIT for this package's Graph IR / scaffolding, owned by Gemmy. Models and third-party custom nodes remain under their own licenses.

Never hand-edit generated workflow JSON.