Hi everyone!
The Tencent Hunyuan team has open-sourced HunyuanVideo-Avatar today, and it does something pretty magical with just an image and an audio track.
You basically give it a picture of a character and some audio, and the model works to understand the context, like the character's surroundings from the image and the emotion from the audio. Then, it animates the character to speak or sing naturally, creating a video with expressions, lip-sync, and even body movements.
For example, if you give it an image of someone holding a guitar on a beach and some mellow music, it can generate a video of them playing and singing in that setting. The ability to produce such context-aware, audio-driven animation like this, especially with the full system open-sourced, is a really neat step for creating dynamic avatars.
HunyuanVideo-Avatar’s open-source approach to creating emotion-driven, multi-character talking videos from audio is a huge leap forward for avatar consistency and customization.
Tencent's HunyuanVideo-Avatar is a game-changer for synthetic media! 🎬 Open-sourcing emotion-controllable, multi-character avatars sets a new standard for transparency in AI video generation. The character consistency feature is particularly impressive for long-form content. Excited to see the community build on these models! 🤖✨
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RightNow AI
HunyuanVideo-Avatar’s open-source approach to creating emotion-driven, multi-character talking videos from audio is a huge leap forward for avatar consistency and customization.
Tencent's HunyuanVideo-Avatar is a game-changer for synthetic media! 🎬 Open-sourcing emotion-controllable, multi-character avatars sets a new standard for transparency in AI video generation. The character consistency feature is particularly impressive for long-form content. Excited to see the community build on these models! 🤖✨