huggingface/diffusers

Support for InfiniteTalk

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#12,239 创建于 2025年8月26日

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 (1 评论) (2 反应) (0 负责人)Python (22,190 star) (4,562 fork)batch import
New pipeline/modelcontributions-welcomehelp wanted

描述

Model/Pipeline/Scheduler description

https://huggingface.co/MeiGen-AI/InfiniteTalk is a wonderful audio driven video generation model and can also support infinite frame , which is based on wan2.1. The demo and user's workflow is also awesome. some examples: https://www.runninghub.cn/ai-detail/1958438624956203010

Open source status

  • The model implementation is available.
  • The model weights are available (Only relevant if addition is not a scheduler).

Provide useful links for the implementation

https://huggingface.co/MeiGen-AI/InfiniteTalk https://github.com/MeiGen-AI/InfiniteTalk

贡献者指南

技术栈
pythonpytorch
领域
aimachine learning
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
4
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-2 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
fresh
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
Python and PyTorch experienceFamiliarity with diffusers libraryUnderstanding of diffusion modelsAudio driven video generation concepts
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
30
研究方向
Examine the InfiniteTalk repository at https://github.com/MeiGen AI/InfiniteTalk to understand the model architecture (based on Wan2.1). Study the diffusers codebase, particularly existing video generation pipelines, to determine how to integrate the model. Create a new pipeline class that loads the InfiniteTalk model, handles audio input and video output, and adds necessary preprocessing/postprocessing. Test the implementation using the provided weights from Hugging Face. Refer to related issues or PRs in diffusers for similar integrations.