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update README. #106

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6 changes: 4 additions & 2 deletions README.md
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Expand Up @@ -40,6 +40,8 @@


## <a name="News"></a>🎉 News
* 2024.08.06 🔥 Pose ControlNet is released! Please check [ControlNet(Pose)](./controlnet/) for more details.

* 2024.08.01 🔥 The Kolors-Dreambooth-LoRA training and inference code is released! Please check [Dreambooth-LoRA](./dreambooth/) for more details.

* 2024.07.31 🔥 The Kolors-IP-Adapter-FaceID-Plus weights and inference code is released! Please check [IP-Adapter-FaceID-Plus](./ipadapter_FaceID/) for more details.
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- [x] Inpainting
- [x] IP-Adapter-FaceID
- [x] LoRA
- [ ] ControlNet (Pose)
- [x] ControlNet (Pose)
- [x] ComfyUI
- [x] Gradio
- [x] Diffusers
Expand Down Expand Up @@ -273,7 +275,7 @@ If you intend to utilize the depth estimation network, please make sure to downl
huggingface-cli download lllyasviel/Annotators ./dpt_hybrid-midas-501f0c75.pt --local-dir ./controlnet/annotator/ckpts
```

Thanks to [DWPose](https://github.com/IDEA-Research/DWPose/tree/onnx?tab=readme-ov-file), you can utilize the pose estimation network. Please download the Pose model dw-ll_ucoco_384.onnx ([baidu](https://pan.baidu.com/s/1nuBjw-KKSxD_BkpmwXUJiw?pwd=28d7), [google](https://drive.google.com/file/d/12L8E2oAgZy4VACGSK9RaZBZrfgx7VTA2/view?usp=sharing)) and Det model yolox_l.onnx ([baidu](https://pan.baidu.com/s/1fpfIVpv5ypo4c1bUlzkMYQ?pwd=mjdn), [google](https://drive.google.com/file/d/1w9pXC8tT0p9ndMN-CArp1__b2GbzewWI/view?usp=sharing)). Then please put them into controlnet/annotator/ckpts/.
Thanks to [DWPose](https://github.com/IDEA-Research/DWPose/tree/onnx?tab=readme-ov-file), you can utilize the pose estimation network. Please download the Pose model dw-ll_ucoco_384.onnx ([baidu](https://pan.baidu.com/s/1nuBjw-KKSxD_BkpmwXUJiw?pwd=28d7), [google](https://drive.google.com/file/d/12L8E2oAgZy4VACGSK9RaZBZrfgx7VTA2/view?usp=sharing)) and Det model yolox_l.onnx ([baidu](https://pan.baidu.com/s/1fpfIVpv5ypo4c1bUlzkMYQ?pwd=mjdn), [google](https://drive.google.com/file/d/1w9pXC8tT0p9ndMN-CArp1__b2GbzewWI/view?usp=sharing)). Then please put them into `controlnet/annotator/ckpts/`.


```bash
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4 changes: 3 additions & 1 deletion README_CN.md
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Expand Up @@ -47,6 +47,8 @@
<br><br>

## <a name="新闻"></a>🎉 新闻
* 2024.08.06 🔥 Pose ControlNet 已发布! 请查看 [ControlNet(Pose)](./controlnet/) 获取详细信息。

* 2024.08.01 🔥 Kolors-Dreambooth-LoRA 的训练和推理代码已发布!请查看 [Dreambooth-LoRA](./dreambooth/) 获取详细信息。

* 2024.07.31 🔥 Kolors-IP-Adapter-FaceID-Plus 的权重和推理代码已发布!请查看 [IP-Adapter-FaceID-Plus](./ipadapter_FaceID/) 获取详细信息。
Expand Down Expand Up @@ -74,7 +76,7 @@
- [x] Inpainting
- [x] IP-Adapter-FaceID
- [x] LoRA
- [ ] ControlNet (Pose)
- [x] ControlNet (Pose)
- [x] ComfyUI
- [x] Gradio
- [x] Diffusers
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4 changes: 2 additions & 2 deletions controlnet/README.md
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Expand Up @@ -3,7 +3,7 @@

## <a name="Introduction"></a>📖 Introduction

We provide two ControlNet weights and inference code based on Kolors-Basemodel: Canny and Depth. You can find some example images below.
We provide three ControlNet weights and inference code based on Kolors-Basemodel: Canny, Depth and Pose. You can find some example images below.


**1、ControlNet Demos**
Expand Down Expand Up @@ -173,7 +173,7 @@ If you intend to utilize the depth estimation network, please make sure to downl
huggingface-cli download lllyasviel/Annotators ./dpt_hybrid-midas-501f0c75.pt --local-dir ./controlnet/annotator/ckpts
```

Thanks to [DWPose](https://github.com/IDEA-Research/DWPose/tree/onnx?tab=readme-ov-file), you can utilize the pose estimation network. Please download the Pose model dw-ll_ucoco_384.onnx ([baidu](https://pan.baidu.com/s/1nuBjw-KKSxD_BkpmwXUJiw?pwd=28d7), [google](https://drive.google.com/file/d/12L8E2oAgZy4VACGSK9RaZBZrfgx7VTA2/view?usp=sharing)) and Det model yolox_l.onnx ([baidu](https://pan.baidu.com/s/1fpfIVpv5ypo4c1bUlzkMYQ?pwd=mjdn), [google](https://drive.google.com/file/d/1w9pXC8tT0p9ndMN-CArp1__b2GbzewWI/view?usp=sharing)). Then please put them into controlnet/annotator/ckpts/.
Thanks to [DWPose](https://github.com/IDEA-Research/DWPose/tree/onnx?tab=readme-ov-file), you can utilize the pose estimation network. Please download the Pose model dw-ll_ucoco_384.onnx ([baidu](https://pan.baidu.com/s/1nuBjw-KKSxD_BkpmwXUJiw?pwd=28d7), [google](https://drive.google.com/file/d/12L8E2oAgZy4VACGSK9RaZBZrfgx7VTA2/view?usp=sharing)) and Det model yolox_l.onnx ([baidu](https://pan.baidu.com/s/1fpfIVpv5ypo4c1bUlzkMYQ?pwd=mjdn), [google](https://drive.google.com/file/d/1w9pXC8tT0p9ndMN-CArp1__b2GbzewWI/view?usp=sharing)). Then please put them into `controlnet/annotator/ckpts/`.


### Inference
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