This version contains a lot of features, so I set the version number to 1.0. I hope these updates will help you in your work.

Plugins

In the post-processing of image cleaning, in addition to erasing, algorithms such as facial repair or super-resolution are often used. Now you can directly use them in Lama Cleaner. See the Plugins Doc for how to use it.

• RemoveBG: Remove images background
• RealESRGAN: Super Resolution
• GFPGAN: Face Restoration
• RestoreFormer: Face Restoration

Other Features

• Stable Diffusion ControlNet Inpainting: thanks for https://github.com/mikonvergence/ControlNetInpaint, now you can use ControlNet inpainting when using sd1.5 model. This can make your inpainting results more consistent with the original structure. Run lama-cleaner with--sd-controlnet to enable it.
• Load Stable Diffusion 1.5 model(ckpt/safetensors) from local path: Run lama-cleaner with--model sd.15 --sd-local-model-path /path/to/your/local/inpainting_model.ckpt to enable it. You can learn how to create a inpainting in AUTO1111's webui here
• MAT model vRAM usage improvement: Now defaulting to using fp16 format, which use less vRAM and run faster.
• Better FileManager: implement some improve suggestion mentioned here