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wangqixun 2024-07-18 12:01:08 +08:00
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@ -25,7 +25,7 @@ InstantID is a new state-of-the-art tuning-free method to achieve ID-Preserving
<img src='assets/applications.png'>
## Release
- [2024/07/18] 🔥 We are training InstantID for [Kolors](https://huggingface.co/Kwai-Kolors/Kolors-diffusers). The weight requires significant computational power, which is currently in the process of iteration. After the model training is completed, it will be open-sourced. The latest checkpoint results are referenced in [Kolors](#kolor).
- [2024/07/18] 🔥 We are training InstantID for [Kolors](https://huggingface.co/Kwai-Kolors/Kolors-diffusers). The weight requires significant computational power, which is currently in the process of iteration. After the model training is completed, it will be open-sourced. The latest checkpoint results are referenced in [Kolors Vision](#kolors-vision).
- [2024/04/03] 🔥 We release our recent work [InstantStyle](https://github.com/InstantStyle/InstantStyle) for style transfer, compatible with InstantID!
- [2024/02/01] 🔥 We have supported LCM acceleration and Multi-ControlNets on our [Huggingface Spaces Demo](https://huggingface.co/spaces/InstantX/InstantID)! Our depth estimator is supported by [Depth-Anything](https://github.com/LiheYoung/Depth-Anything).
- [2024/01/31] 🔥 [OneDiff](https://github.com/siliconflow/onediff?tab=readme-ov-file#easy-to-use) now supports accelerated inference for InstantID, check [this](https://github.com/siliconflow/onediff/blob/main/benchmarks/instant_id.py) for details!