Update README.md

README.md

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 Extra models for use with Blissful Tuner - https://github.com/Sarania/blissful-tuner/
 
 - ./wan_lcm/* - These are LCM LoRA for Wan architecture models extracted from https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill
+- ./VFI/gimm-vfi - For use with `python -m blissful_tuner.GIMMVFI`, this is excellent frame rate interpolate provided by https://github.com/GSeanCDAT/GIMM-VFI (S-Lab License 1.0)
+- ./upscaling/* - For use with `python -m blissful_tuner.upscaler`, these are upscaling models SwinIR ( https://github.com/JingyunLiang/SwinIR ) and ESRGAN 4x_NMKD-Siax_200k
+- ./face_restoration/* - The face restoration models CodeFormer ( https://github.com/sczhou/CodeFormer (S-Lab License 1.0)) and GFPGAN ( https://github.com/TencentARC/GFPGAN) for use with `python -m blissful_tuner.facefix`
+- ./yolo/* - yolov8-face model from https://github.com/lindevs/yolov8-face for use with `python -m blissful_tuner.yolo_blur`
+- ./taehv/* - Tiny Autoencoders for use with Wan and Hunyuan as `--preview_vae` from https://github.com/madebyollin/taehv (MIT License)
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-license: apache-2.0
+license: apache-2.0 except where otherwise noted
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