emaph / in-and-outpaint-union

Combines inpainting and outpainting for image editing.

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  • 196 runs
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Run time and cost

This model runs on Nvidia A40 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

Combines inpainting and outpainting with controlnet++ union for sdxl.

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

Image Outpainting