Tencent multimodal diffusion transformer for emotion-controllable, multi-character audio-driven dialogue video.
Tencent's diffusion transformer for emotion-aware, audio-driven talking characters.
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.
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.
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.
Animates several speaking characters in one video.
Aligns character emotion with the audio.
Runs on one GPU with TeaCache and community Wan2GP support.
Multi-GPU parallel inference is documented.
A CUDA 12 Docker image is provided.
Targets highly dynamic video that keeps character consistency.
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.
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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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.
The README says 24 GB minimum for 704x768, 129 frames but very slow; 96 GB is recommended. Community Wan2GP support reaches 10 GB.
No. The licence says you must not use the works or outputs to improve any other AI model.
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