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@ -40,15 +40,17 @@ Models (.ckpt files) must be separately downloaded and are required to run Stabl
## Complimentary Models and Tools (open source)
## Customisation
### Customisation
* [textual-inversion](https://github.com/rinongal/textual_inversion) - Adding your own personalized content to Stable Diffusion.
### Upscaling
* [GFPGAN](https://github.com/TencentARC/GFPGAN) - Face Restoration GAN included in several forks for automatically fixing deformed faces commonly found in SD output.* * [RealESRGAN](https://github.com/xinntao/Real-ESRGAN) - ESRGAN Upscaling (2x, 4x) and content restoration, useful for overcoming. Python: ```pip install realesrgan```
* [Cupscale](https://github.com/n00mkrad/cupscale) - Graphical User Interface to run various upscaling models, including ESRGAN and RealESRGAN
* [BasicSR](https://github.com/XPixelGroup/BasicSR) - Open Source Upscaling and Restoration toolbox supporting.
* [lama-cleaner](https://github.com/Sanster/lama-cleaner) - Content aware AI inpainting tool with useful for removing unwanted objects or defects from images. Python: ```pip install lama-cleaner```
### Content Restoration
* [GFPGAN](https://github.com/TencentARC/GFPGAN) - Face Restoration GAN included in several forks for automatically fixing deformed faces commonly found in SD output.* * [RealESRGAN](https://github.com/xinntao/Real-ESRGAN) - ESRGAN Upscaling (2x, 4x) and content restoration, useful for overcoming. Python: ```pip install realesrgan```
* [lama-cleaner](https://github.com/Sanster/lama-cleaner) - Content aware AI inpainting tool with useful for removing unwanted objects or defects from images. Python: ```pip install lama-cleaner```
### Task Chaining
* [chaiNNer](https://github.com/joeyballentine/chaiNNer) - Graphical Node Based Editor for chaining image processing tasks.