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Wav2Lip version 288 and pipeline to train
| Date | Stars |
|---|---|
| 2026-07-24 | 648 |
| 2026-07-25 | 648 |
| 2026-07-28 | 648 |
| 2026-07-30 | 648 |
| 2026-08-06 | 648 |
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# Better wav2lip model version.
Original repo: https://github.com/Rudrabha/Wav2Lip
- [x] model size 288x288, 384x384, 512x512
- [x] PRelu
- [x] LeakyRelu
- [x] Gradient penalty
- [x] Wasserstein Loss
- [x] SAM-UNet: https://github.com/1343744768/Multiattention-UNet
Each line on filelist should be full path <br />
First, Train syncnet <br />
```
python3 train_syncnet_sam.py
```
Second, train wav2lip-Sam
```
python3 hq_wav2lip_sam_train.py
```
Some demo from chinese users:
https://github.com/primepake/wav2lip_288x288/issues/89#issue-2047907323
## Demo - 384x384 Resolution
### Quick Preview (GIF)
### Full Quality Video
- [Download MOV (Original)](assets/test5_facial_dubbing_add_audio.mov)
## Citing
To cite this repository:
```bibtex
@misc{Wav2Lip,
author={Rudrabha},
title={Wav2Lip: Accurately Lip-syncing Videos In The Wild},
year={2020},
url={https://github.com/Rudrabha/Wav2Lip}
}
```
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a2c62803e650ebdf, topic:deep-learning
matched fp:a2c62803e650ebdf, topic:talking-head