emaph / inpaint-controlnet-union

Inpaint a selected area of an image using controlnet union for SDXL.

  • Public
  • 250 runs
  • GitHub
  • License

An image and mask must be provided as input. The mask is a PNG with an erased area to be inpainted. Uses controlnet++ for image editing.


ControlNet++: All-in-one ControlNet for image generations and editing!

ProMax Model has released!! 12 control + 5 advanced editing, just try it!!!

Advantages about the model

  • Use bucket training like novelai, can generate high resolutions images of any aspect ratio
  • Use large amount of high quality data(over 10000000 images), the dataset covers a diversity of situation
  • Use re-captioned prompt like DALLE.3, use CogVLM to generate detailed description, good prompt following ability
  • Use many useful tricks during training. Including but not limited to date augmentation, mutiple loss, multi resolution
  • Use almost the same parameter compared with original ControlNet. No obvious increase in network parameter or computation.
  • Support 10+ control conditions, no obvious performance drop on any single condition compared with training independently
  • Support multi condition generation, condition fusion is learned during training. No need to set hyperparameter or design prompts.
  • Compatible with other opensource SDXL models, such as BluePencilXL, CounterfeitXL. Compatible with other Lora models.

Inference scripts and more details can found: https://github.com/xinsir6/ControlNetPlus/tree/main

Image Inpainting