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HunyuanVideo is a cutting-edge framework designed for large-scale video generation, leveraging advanced AI techniques to synthesize videos from various inputs. It is implemented in PyTorch, providing pre-trained model weights and inference code for efficient deployment. The framework aims to push the boundaries of video generation quality, incorporating multiple innovative approaches to improve the realism and coherence of the generated content. Release of FP8 model weights to reduce GPU memory usage / improve efficiency. Parallel inference code to speed up sampling, utilities and tests included.
Features
- Large video generative model with ~13B parameters for text-to-video generation
- Support for image-to-video (I2V), audio-driven human animation (Avatar), custom video generation modules (HunyuanCustom etc.)
- Open-sourced inference / sampling code, pretrained weights, model definitions
- Integrated into Diffusers library (open source community tools)
- Release of FP8 model weights to reduce GPU memory usage / improve efficiency
- Parallel inference code to speed up sampling, utilities and tests included
- Implements a large-scale video generation model using deep learning.
- Community contributions extend functionality with custom wrappers and models.
- Optimized for GPU memory efficiency, with FP8 model weights for faster processing.
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AI Video GeneratorsFollow HunyuanVideo
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