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HunyuanVideo-Avatar

Tencent multimodal diffusion transformer for emotion-controllable, multi-character audio-driven dialogue video.

Multi-character avatar dialogue video

Tencent's diffusion transformer for emotion-aware, audio-driven talking characters.

Free forever · source-available · Tencent Hunyuan Community License (not OSI-approved)
✓ Needs IT✓ Browser-based✓ Real-time collaboration
5.3
ZEKAI
Heavy multi-character avatars
Free & open source · Video
Ease of setup2
Usefulness6
Maintenance5.5
Community7.5
★ 2,218
GITHUB
Dec 2025
UPDATED
Tencent Hunyuan Community License (not OSI-approved)
LICENSE
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⚡ Quick answer

HunyuanVideo-Avatar is a multimodal diffusion transformer from Tencent that generates dynamic, emotion-controllable, multi-character dialogue video from audio. It suits well-resourced teams outside the licence-excluded regions.

Runs on
Cross-platform
Hosting
Self-host
Languages
Python
License
Tencent Hunyuan Community License (not OSI-approved)

What it is

The README targets character consistency, emotion alignment and multi-character animation. It requires an NVIDIA GPU with CUDA: 24 GB VRAM minimum (very slow) and 96 GB recommended, with community Wan2GP support down to 10 GB.

Who it's for

Suits research labs and studios with large GPUs. It does not suit users in the EU, UK or South Korea, where the licence does not apply, or anyone who wants to use its output to train another AI model.

Key features

Multi-character dialogue

Animates several speaking characters in one video.

Emotion control

Aligns character emotion with the audio.

Single-GPU path

Runs on one GPU with TeaCache and community Wan2GP support.

Parallel inference

Multi-GPU parallel inference is documented.

Docker image

A CUDA 12 Docker image is provided.

Dynamic motion

Targets highly dynamic video that keeps character consistency.

How to start

Up and running in 3 steps

1
Install CUDA 12.4 libraries and Python requirements, then compile flash-attention v2.6.3 as the README lists.
2
Download the HunyuanVideo-Avatar weights from Hugging Face into the weights folder.
3
Run the single-GPU or parallel inference script with a reference image and audio file.
Real talk

Our honest verdict

What's great

  • Handles several speaking characters, which most avatar models do not.
  • Emotion control tied to the audio track.
  • Single-GPU and multi-GPU instructions with a Docker image.
  • Backed by a large lab with a published paper.

Where it falls short

  • 24 GB VRAM is the stated minimum (and slow); 96 GB is recommended.
  • The Tencent Hunyuan Community License is not OSI-approved and excludes the EU, UK and South Korea.
  • You may not use the outputs to improve another AI model, and 100 million monthly users trigger a separate licence.
  • Large CUDA 12 build with flash-attention compilation and big weight downloads.
Cost

Pricing & license

Free to download under the Tencent Hunyuan Community License. The README lists no paid plan; the cost is a large GPU, and users with over 100 million monthly active users must request a licence from Tencent.

Paid work

Open remote AI-training roles

870 open remote AI-training roles, updated November 14, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

Is HunyuanVideo-Avatar open source?

It is source-available under the Tencent Hunyuan Community License, which is not OSI-approved and does not apply in the EU, UK or South Korea.

How much VRAM does it need?

The README says 24 GB minimum for 704x768, 129 frames but very slow; 96 GB is recommended. Community Wan2GP support reaches 10 GB.

Can I use outputs to train another model?

No. The licence says you must not use the works or outputs to improve any other AI model.

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