Image-to-Video
TensorRT
ONNX
Safetensors
PyTorch
English
Arabic
audio-to-video
talking-head
portrait-animation
lip-sync
flow-matching
motion-generation
video-generation
wav2vec2
real-time
Instructions to use mohamedemam/float with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use mohamedemam/float with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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# [ICCV 2025] FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait
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Official Pytorch Implementation of FLOAT; Flow Matching for Audio-driven Talking Portrait Video Generation
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## Acknowledgements
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The source images and audio are collected from the internet and other baselines, such as LIA, SadTalker, EMO, VASA-1, Hallo, LivePortrait, Loopy, and others. We appreciate their valuable contributions to this field. We employ Wav2Vec2.0-based speech emotion recognizer by [Rob Field](https://huggingface.co/r-f/wav2vec-english-speech-emotion-recognition). We appreciate this good work.
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---
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license: cc-by-nc-nd-4.0
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language:
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- en
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- ar
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pipeline_tag: image-to-video
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tags:
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- >-
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audio-to-video, talking-head, portrait-animation, lip-sync,
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audio-driven-animation, flow-matching, motion-generation, video-generation,
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wav2vec2, pytorch, computer-vision, ICCV-2025
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---
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# [ICCV 2025] FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait
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Official Pytorch Implementation of FLOAT; Flow Matching for Audio-driven Talking Portrait Video Generation
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## Acknowledgements
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The source images and audio are collected from the internet and other baselines, such as LIA, SadTalker, EMO, VASA-1, Hallo, LivePortrait, Loopy, and others. We appreciate their valuable contributions to this field. We employ Wav2Vec2.0-based speech emotion recognizer by [Rob Field](https://huggingface.co/r-f/wav2vec-english-speech-emotion-recognition). We appreciate this good work.
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