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Expand Up @@ -65,7 +65,7 @@ If you are interested in the Diffusion Features and **Full Power** of FreeReg, K
FreeReg does not need any training but utilizes pretrained models of existing projects:

- Diffusion Feature related, download them and place them in ```tools/controlnet/models``` directory:
- Stable Diffusion v1.5 [[ckpt]](https://huggingface.co/runwayml/stable-diffusion-v1-5/blob/main/v1-5-pruned.ckpt);
- Stable Diffusion v1.5 [[ckpt]](https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5/tree/main);
<!-- - ControlNet(SDv1.5) conditioning on depth images [[ckpt]](https://huggingface.co/lllyasviel/ControlNet-v1-1/blob/main/control_v11f1p_sd15_depth.pth); -->
- ControlNet(SDv1.5) conditioning on depth images [[ckpt-ft]](https://drive.google.com/file/d/1YSYXHZtg4Mvdh_twOK_FIc8kao3sA3z2/view?usp=drive_link); **[23/11/23 Update: We fine-tune ControlNet with real RGB-D data for better performances.]**

Expand Down Expand Up @@ -122,4 +122,4 @@ We sincerely thank the excellent projects:
- [ControlNet](https://github.com/lllyasviel/ControlNet) for Diffusion Feature extraction;
- [Zoe-Depth](https://github.com/isl-org/ZoeDepth) for metric depth estimation on rgb images;
- [FCGF](https://github.com/chrischoy/FCGF) for Geometric Feature extraction;
- [IDC-DC](https://github.com/kujason/ip_basic) for depth completion.
- [IDC-DC](https://github.com/kujason/ip_basic) for depth completion.