ReFocus Model Dependencies

This repository serves as a backup mirror of the model dependencies required by the ReFocus project.

All models originate from the lllyasviel repositories (misc and fooocus_inpaint) and are used under their respective open-source licenses. u2net.onnx is sourced from the danielgatis/rembg repository.

License & Attribution

  • All models in this repository are redistributed under the terms of the GNU General Public License v3.0.
  • This is a mirror for backup and availability purposes only.
  • ReFocus and this repository do not claim ownership of these models.
  • Original models are created and maintained by lllyasviel, danielgatis, and other respective authors.

Included Models

From lllyasviel/misc (14 files)

Model File Purpose
clip_vision_vit_h.safetensors CLIP Vision model for IP-Adapter
control-lora-canny-rank128.safetensors Canny ControlNet LoRA
fooocus_ip_negative.safetensors Negative embedding for IP-Adapter
fooocus_upscaler_s409985e5.bin Upscaler model (ESRGAN)
fooocus_xl_cpds_128.safetensors CPDS ControlNet LoRA
ip-adapter-plus-face_sdxl_vit-h.bin Face IP-Adapter for SDXL
ip-adapter-plus_sdxl_vit-h.bin IP-Adapter for SDXL
model_base_caption_capfilt_large.pth BLIP captioning model (Describe feature)
sdxl_lcm_lora.safetensors LCM LoRA for SDXL
vaeapp_sd15.pth VAE approx for SD 1.5
wd-v1-4-moat-tagger-v2.csv WD14 tagger label mapping
wd-v1-4-moat-tagger-v2.onnx WD14 tagger ONNX model (Anime Describe)
xl-to-v1_interposer-v3.1.safetensors VAE interposer for refiner swap
xlvaeapp.pth VAE approx for SDXL

From lllyasviel/fooocus_inpaint (4 files)

Model File Purpose
fooocus_inpaint_head.pth Inpainting head
inpaint.fooocus.patch Inpainting patch (v1)
inpaint_v25.fooocus.patch Inpainting patch (v2.5)
inpaint_v26.fooocus.patch Inpainting patch (v2.6)

From danielgatis/rembg (1 file)

Model File Purpose
u2net.onnx Rembg U²-Net for mask generation

Note: u2net.onnx is not part of lllyasviel repositories. It is sourced from the official rembg release. See danielgatis/rembg for more information.

From facexlib (2 files)

Model File Purpose
parsing_parsenet.pth Face parsing model for face detection/cropping
detection_Resnet50_Final.pth Face detection model for face cropping

Note: These files are sourced from the facexlib repository and are used for face-related features (e.g., FaceSwap IP-Adapter preprocessing).

Original Source

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