From 44bf6d2b4b39b6133ff15cea503127cf1281574d Mon Sep 17 00:00:00 2001 From: fkulla <110720170+fkulla@users.noreply.github.com> Date: Wed, 7 Sep 2022 17:27:02 +0000 Subject: [PATCH] copyedit: Complementary Models and Tools Signed-off-by: fkulla <110720170+fkulla@users.noreply.github.com> --- README.md | 35 +++++++++++++++++------------------ 1 file changed, 17 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index 8b8328a..f4db2e4 100644 --- a/README.md +++ b/README.md @@ -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 ### 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 - * [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 -* [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. -* [BSRGAN](https://github.com/cszn/BSRGAN) - BSRGAN - Another upscaling solution specialized in upscaling degraded images. +* [RealESRGAN](https://github.com/xinntao/Real-ESRGAN) - ESRGAN Upscaling (2x, 4x) and content restoration. Python: ```pip install 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 several models. +* [BSRGAN](https://github.com/cszn/BSRGAN) - BSRGAN—another upscaling solution specialized in upscaling degraded images. ### 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``` -* [GFPGAN](https://github.com/TencentARC/GFPGAN) - Face Restoration GAN included in several forks for automatically fixing deformed faces 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). +* [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 the face deformation commonly found in SD output. +* [CodeFormer](https://github.com/sczhou/CodeFormer) - Another Face Restoration model ([Paper](https://arxiv.org/abs/2206.11253)). ### Task Chaining -* [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. +* [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 combining Stable Diffusion and other models for high volume art generation. ### 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. -* [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) -* [ai-art.com/modifiers](https://www.the-ai-art.com/modifiers) - A visual reference guide to keywords. -* [pharmapsychotic/clip-interrogator](https://github.com/pharmapsychotic/clip-interrogator) - Jupiter Notebook for reverse engineering prompts from images. -* [img2prompt](https://replicate.com/methexis-inc/img2prompt) - Upload image, get possible prompts for similar results (clip interrogator) -* [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. +* [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) - Jupyter notebook uses CLIP models to suggest a prompt for images similar to a given image + * [Demo: img2prompt](https://replicate.com/methexis-inc/img2prompt) +* [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