Tools/AI Animation & Motion/HunyuanVideo-Avatar

HunyuanVideo-Avatar

Audio-driven Tencent model that animates avatar images into emotion-controllable dialogue videos.

Open SourceSelf HostedOffline CapableGPU Required (10GB+ VRAM)
0.0 (0)

About

Part of Tencent's HunyuanVideo model family, HunyuanVideo-Avatar turns a character image and an audio track into a talking, emoting video using a multimodal diffusion transformer (MM-DiT). Three modules define the approach: a character image injection mechanism that keeps the avatar consistent across frames, an Audio Emotion Module that transfers emotional cues from a reference image, and a Face-Aware Audio Adapter that isolates audio per face so multiple characters in one scene can speak independently. It handles photorealistic, cartoon, 3D-rendered, and anthropomorphic styles at portrait through full-body scales, targeting e-commerce, streaming, and video editing. Inference officially calls for an NVIDIA GPU with 24 GB of VRAM and 96 GB for best quality, though a June 2025 TeaCache update runs on a single 10 GB card; setup is a conda environment with Python 3.10 and PyTorch 2.4, with Docker images available. Weights ship under the Tencent Hunyuan Community License, which excludes the EU, UK, and South Korea and requires a separate agreement above 100 million monthly users. The repository has about 2,100 stars.

Should you use HunyuanVideo-Avatar?

Pick it when

Pick it when several characters must speak independently in one scene, or you need emotion control and cartoon, 3D, or full-body avatars for e-commerce or streaming, with a 24 GB GPU or a 10 GB card using TeaCache.

Look elsewhere when

Skip it if you operate in the EU, UK, or South Korea, which its license excludes, or want a light setup: for a single talking portrait on 8 GB under Apache-2.0, EchoMimic is simpler.

Alternatives to HunyuanVideo-Avatar

  • EchoMimic

    Apache-2.0 with no regional limits on 8 GB, with landmark control, but a single portrait without emotion transfer or multi-speaker scenes.

  • LatentSync

    Apache-2.0 lip sync for re-voicing existing video on 8 GB, when you need dubbing rather than a newly generated avatar performance.

  • MuseTalk

    Real-time lip sync (30+ fps on a V100) that runs from 6 GB with commercially usable weights, suited to live avatars, but it generates no emotions or body motion.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Advanced (4/5)
License
Tencent Hunyuan Community License
Minimum VRAM
10 GB
Added
Jul 29, 2026

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