Tencent-Hunyuan/HunyuanCustom

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1229 stars · 110 forks observed · 2026-09-30

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

HunyuanCustom is a multimodal-driven customized video generation framework built on HunyuanVideo, supporting image, text, audio, and video conditions with subject identity consistency. It ships inference code, model checkpoints, and ComfyUI integration for single-subject, audio-driven, and video-driven video customization.

Use cases

• generate videos featuring a specific person or subject from a reference image
• create talking-head videos driven by an audio track
• edit or restyle videos while keeping subject identity consistent
• generate multi-subject videos with consistent characters
• run customized video generation locally with low VRAM
• use customized video generation inside ComfyUI workflows

When to choose

• you need identity-consistent video generation conditioned on images, text, audio, or video
• you want an open model with checkpoints and ComfyUI support for video customization
• you have a GPU (or as little as 8GB VRAM via WanGP) and want local inference

When to avoid

• you need fast real-time video generation rather than offline diffusion-based rendering
• you need training/fine-tuning code rather than inference
• you cannot run GPU workloads locally or in the cloud

Facets

library · maturity active

video-processing machine-learning deep-learning image-processing audio-processing artificial-intelligence deep-learning media python video-generation diffusion-models subject-consistency audio-driven image-to-video hunyuanvideo customized-video multimodal video linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Tencent-Hunyuan/HunyuanCustom")