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
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pipeline_tag: image-to-video
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tags:
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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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pipeline_tag: image-to-video
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tags:
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- audio-to-video
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- talking-head
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- portrait-animation
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- lip-sync
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- flow-matching
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- motion-generation
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- pytorch
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- real-time
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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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