zsxkib / hunyuan-video2video

A state-of-the-art text-to-video generation model capable of creating high-quality videos with realistic motion from text descriptions

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HunyuanVideo Video-to-Video Generation Model 🎬

A video-to-video implementation of Tencent’s HunyuanVideo framework, powered by Jukka Seppänen’s (@Kijaidesign) ComfyUI nodes. This model specializes in transforming source videos into new high-quality videos while maintaining temporal consistency and motion quality.

Implementation ✨

This Replicate deployment integrates: - Tencent’s HunyuanVideo framework - @Kijaidesign’s ComfyUI-HunyuanVideoWrapper - cog-comfyui for Replicate deployment

Model Description 🎥

The model leverages HunyuanVideo’s dual-stream architecture and 13 billion parameters to transform input videos into new styles and contexts. Using a spatial-temporally compressed latent space and sophisticated text encoding through large language models, it maintains high fidelity while allowing creative transformations of source material.

Key features:

🎥 High-quality video-to-video transformation 📐 Support for various aspect ratios and resolutions 🎯 Excellent temporal consistency and motion preservation 🎨 Style transfer capabilities while maintaining motion coherence 🔄 Works with diverse source video types

Predictions Examples 💫

The model excels at transformations like: - Converting daytime scenes to night - Changing weather conditions in landscape videos - Transforming art styles while preserving motion - Maintaining consistent style across video frames

Limitations ⚠️

  • Generation time increases with video length and resolution
  • Higher resolutions require more GPU memory
  • Complex transformations may require careful prompt engineering
  • Source video quality impacts output results
  • Memory usage depends on input resolution and frame count

Credits and Citation 📚

This implementation relies on the following key works:

  1. Original HunyuanVideo by Tencent:
@misc{kong2024hunyuanvideo,
      title={HunyuanVideo: A Systematic Framework For Large Video Generative Models}, 
      author={Weijie Kong, et al.},
      year={2024},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Special acknowledgment to Jukka Seppänen (@Kijaidesign) for the excellent ComfyUI implementation that makes video-to-video generation possible.

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