emaph / inpaint-controlnet-union

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

  • Public
  • 276 runs
  • GitHub
  • License
Run with an API
Playground API Examples README Versions

Examples

View more

Run time and cost

This model costs approximately $0.026 to run on Replicate, or 38 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A40 GPU hardware. Predictions typically complete within 45 seconds. The predict time for this model varies significantly based on the inputs.

Readme

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