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copyedit: Complementary Models and Tools

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@ -53,40 +53,39 @@ Models (.ckpt files) must be separately downloaded and are required to run Stabl
Tools and models for use in conjuction with Stable Diffusion Tools and models for use in conjuction with Stable Diffusion
### Customisation ### Customisation
* [textual-inversion](https://github.com/rinongal/textual_inversion) - Adding your own personalized content to Stable Diffusion without retraining the model ([Paper](https://textual-inversion.github.io/), [Paper2](https://dreambooth.github.io/)). * [textual-inversion](https://github.com/rinongal/textual_inversion) - Addition of personalized content to Stable Diffusion without retraining the model ([Paper](https://textual-inversion.github.io/), [Paper2](https://dreambooth.github.io/)).
### GUIS ### GUIS
* [hlky/stable-diffusion-webui](https://github.com/hlky/stable-diffusion-webui) - GradIO based web UI from the hlsk/stable-diffusion fork with support for txt2img, img2img (with basic mask editor), GAFPGAN and RealESRGAN. * [hlky/stable-diffusion-webui](https://github.com/hlky/stable-diffusion-webui) - GradIO based web UI from the hlsk/stable-diffusion fork with support for txt2img, img2img (with basic mask editor), GAFPGAN and RealESRGAN.
* [Stable Diffusion GRisk GUI ]([https://grisk.itch.io/stable-diffusion-gui]) - Windows GUI binary for SD. * [Stable Diffusion GRisk GUI ](https://grisk.itch.io/stable-diffusion-gui) - Windows GUI binary for SD.
### Upscaling ### Upscaling
* [RealESRGAN](https://github.com/xinntao/Real-ESRGAN) - ESRGAN Upscaling (2x, 4x) and content restoration, useful for overcoming. Python: ```pip install realesrgan``` * [RealESRGAN](https://github.com/xinntao/Real-ESRGAN) - ESRGAN Upscaling (2x, 4x) and content restoration. Python: ```pip install realesrgan```
* [Cupscale](https://github.com/n00mkrad/cupscale) - Graphical User Interface to run various upscaling models, including ESRGAN and RealESRGAN * [Cupscale](https://github.com/n00mkrad/cupscale) - GUI for running various upscaling models, including ESRGAN and RealESRGAN.
* [BasicSR](https://github.com/XPixelGroup/BasicSR) - Open Source Upscaling and Restoration toolbox supporting. * [BasicSR](https://github.com/XPixelGroup/BasicSR) - Open-source upscaling and restoration toolbox supporting several models.
* [BSRGAN](https://github.com/cszn/BSRGAN) - BSRGAN - Another upscaling solution specialized in upscaling degraded images. * [BSRGAN](https://github.com/cszn/BSRGAN) - BSRGAN—another upscaling solution specialized in upscaling degraded images.
### Content Restoration ### Content Restoration
* [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``` * [lama-cleaner](https://github.com/Sanster/lama-cleaner) - Content aware AI inpainting tool useful for removing unwanted objects or defects from images. Python: ```pip install lama-cleaner```
* [GFPGAN](https://github.com/TencentARC/GFPGAN) - Face Restoration GAN included in several forks for automatically fixing deformed faces commonly found in SD output.* * [GFPGAN](https://github.com/TencentARC/GFPGAN) - Face Restoration GAN included in several forks for automatically fixing the face deformation commonly found in SD output.
* [CodeFormer](https://github.com/sczhou/CodeFormer) - Another Face Restoration Model [Paper: Towards Robust Blind Face Restoration with Codebook Lookup Transformer](https://arxiv.org/abs/2206.11253). * [CodeFormer](https://github.com/sczhou/CodeFormer) - Another Face Restoration model ([Paper](https://arxiv.org/abs/2206.11253)).
### Task Chaining ### Task Chaining
* [chaiNNer](https://github.com/joeyballentine/chaiNNer) - Graphical Node Based Editor for chaining image processing tasks. * [chaiNNer](https://github.com/joeyballentine/chaiNNer) - Graphical node-based editor for chaining image processing tasks.
* [ai-art-generator](https://github.com/rbbrdckybk/ai-art-generator) - AI Art Generation Suite combing SD and Models for high volume art generation. * [ai-art-generator](https://github.com/rbbrdckybk/ai-art-generator) - AI art generation suite combining Stable Diffusion and other models for high volume art generation.
### Prompt Building ### Prompt Building
Prompts are the inputs used with diffusion models to manipulate their output. Prompts are the instructions given to diffusion models to manipulate their output.
* [PromptoMania](https://promptomania.com/) - A visual prompt construction tool. * [PromptoMania](https://promptomania.com/) - A visual prompt construction tool.
* [Lexica.art](https://lexica.art/) - A searchable, visual database of images and the prompts settings used to recreate them. * [Lexica.art](https://lexica.art/) - A searchable, visual database of images and the prompts settings used to create them.
* 🖊️[Phraser](https://phraser.tech/) - A visual prompt builder drawing on a database of examples. (Requires account creation) * 🖊️[Phraser](https://phraser.tech/) - A visual prompt builder drawing on a database of examples. (Requires account creation)
* [ai-art.com/modifiers](https://www.the-ai-art.com/modifiers) - A visual reference guide to keywords. * [ai-art.com/modifiers](https://www.the-ai-art.com/modifiers) - A visual reference guide for keywords.
* [pharmapsychotic/clip-interrogator](https://github.com/pharmapsychotic/clip-interrogator) - Jupiter Notebook for reverse engineering prompts from images. * [pharmapsychotic/clip-interrogator](https://github.com/pharmapsychotic/clip-interrogator) - Jupyter notebook uses CLIP models to suggest a prompt for images similar to a given image
* [img2prompt](https://replicate.com/methexis-inc/img2prompt) - Upload image, get possible prompts for similar results (clip interrogator) * [Demo: img2prompt](https://replicate.com/methexis-inc/img2prompt)
* [rom1504/clip-retrieval](https://github.com/rom1504/clip-retrieval) - Reverse searches prompt keywords into the image dataset used by Stable Diffusion and other models. [Online GUI](https://rom1504.github.io/clip-retrieval/) available. * [rom1504/clip-retrieval](https://github.com/rom1504/clip-retrieval) - Searches for prompt keywords in the datasets used in training Stable Diffusion and other models ([Online GUI](https://rom1504.github.io/clip-retrieval/)).
## Tutorials & Comparisons ## Tutorials & Comparisons