update README.md

README.md

@@ -134,7 +134,8 @@ Here we list pretrained weight of stage 2 model (IRControlNet) and our trained S
 | v2.pth | IRControlNet trained on filtered laion2b-en  | [download](https://huggingface.co/lxq007/DiffBIR-v2/resolve/main/v2.pth) | [download](https://pan.baidu.com/s/1uTAFl13xgGAzrnznAApyng?pwd=xiu3)<br>(pwd: xiu3) | [download](https://openxlab.org.cn/models/detail/linxinqi/DiffBIR/tree/main) |
 | v1_general.pth | IRControlNet trained on ImageNet-1k | [download](https://huggingface.co/lxq007/DiffBIR-v2/resolve/main/v1_general.pth) | [download](https://pan.baidu.com/s/1PhXHAQSTOUX4Gy3MOc2t2Q?pwd=79n9)<br>(pwd: 79n9) | [download](https://openxlab.org.cn/models/detail/linxinqi/DiffBIR/tree/main) |
 | v1_face.pth | IRControlNet trained on FFHQ | [download](https://huggingface.co/lxq007/DiffBIR-v2/resolve/main/v1_face.pth) | [download](https://pan.baidu.com/s/1kvM_SB1VbXjbipLxdzlI3Q?pwd=n7dx)<br>(pwd: n7dx) | [download](https://openxlab.org.cn/models/detail/linxinqi/DiffBIR/tree/main) |
-| codeformer_swinir.ckpt | SwinIR trained on ImageNet-1k | [download](https://huggingface.co/lxq007/DiffBIR-v2/resolve/main/codeformer_swinir.ckpt) | [download](https://pan.baidu.com/s/176fARg2ySYtDgX2vQOeRbA?pwd=vfif)<br>(pwd: vfif) | [download](https://openxlab.org.cn/models/detail/linxinqi/DiffBIR/tree/main) |
+| codeformer_swinir.ckpt | SwinIR trained on ImageNet-1k with CodeFormer degradation | [download](https://huggingface.co/lxq007/DiffBIR-v2/resolve/main/codeformer_swinir.ckpt) | [download](https://pan.baidu.com/s/176fARg2ySYtDgX2vQOeRbA?pwd=vfif)<br>(pwd: vfif) | [download](https://openxlab.org.cn/models/detail/linxinqi/DiffBIR/tree/main) |
+| realesrgan_s4_swinir_100k.pth | SwinIR trained on ImageNet-1k with Real-ESRGAN degradation | [download](https://huggingface.co/lxq007/DiffBIR-v2/resolve/main/realesrgan_s4_swinir_100k.pth) | N/A | N/A |
 
 During inference, we use off-the-shelf models from other papers as the stage 1 model: [BSRNet](https://github.com/cszn/BSRGAN) for BSR, [SwinIR-Face](https://github.com/zsyOAOA/DifFace) used in DifFace for BFR, and [SCUNet-PSNR](https://github.com/cszn/SCUNet) for BID, while the trained IRControlNet remains **unchanged** for all tasks. Please check [code](diffbir/inference/pretrained_models.py) for more details. Thanks for their work!