sygil-webui

> This is by far the most popular and active right now: https://github.com/AUTOMATIC1111/stable-diffusion-webui While technically the most popular, I wouldn't call it "by far". This one is a very close second (500 vs 580 forks): https://github.com/sd-webui/stable-diffusion-webui/tree/dev

- add GFPGAN to fix distorted faces https://github.com/sd-webui/stable-diffusion-webui/wiki/Inst... - add RealESRGAN for better upscaling https://github.com/sd-webui/stable-diffusion-webui/wiki/Inst... - add LDSR for crazy good upscaling (for 10x the processing time) https://github.com/sd-webui/stable-diffusion-webui/wiki/Inst...

Nice to know tricks for /sd-webui/ - activate advanced: create prompt matrix and use @a painting of a (forest|desert|swamp|island|plains) painted by (claude monet|greg rutkowski|thomas kinkade) - add different relative weights for words in a prompt: watercolor :0.5 painting :0.2 by picasso :0.3 - Generate much larger images with your limited vram by using optimized versions of attention.py and model.py https://github.com/sd-webui/stable-diffusion-webui/discussio... - Generate "Loab the AI haunting woman" if you can (Try using textual inversion with negatively weighted prompts) https://www.cnet.com/science/what-is-loab-the-haunting-ai-ar...

This really is a one-click installer, which is excellent. As far as I know it's the first and only one for M1. It's quite a polished UI, but there are a lot of features missing. The first ones that come to mind are: - No way to specify a seed. This is an important part of SD workflows, letting you redo an image with a slightly tweaked a prompt. - No way to specify a custom model. Alternative models (such as Waifu Diffusion) are fun to play with too. - No way to generate batches of images. - No way to specify which sampler to use. - No way to adjust the weight of specific sub-phrases, or use negative weights. There's also no img2img yet, but it sounds like that's a planned feature. Other GUIs such as https://github.com/sd-webui/stable-diffusion-webui, https://github.com/AUTOMATIC1111/stable-diffusion-webui have many more features - but not

The main one I've been testing (https://github.com/sd-webui/stable-diffusion-webui) has a Docker Compose file. Grab that, install Docker, install Nvidia's Docker integration, copy the example Docker-env file, and docker-compose up is all you need. Edit: here's a gist with exact steps I used: https://gist.github.com/geerlingguy/384ed4aba35e3118f2a0f358...

This is the one I've been using https://github.com/sd-webui/stable-diffusion-webui . docker-compose up , works great.

There are several packages that provide web UIs, like this one for example: https://github.com/hlky/stable-diffusion-webui It's not quite the ease of setup of an Electron app, but once setup it's pretty easy to use.

I have it working on an RX 6800, used the scripts from this repo[0] to build a docker image that has ROCm drivers and PyTorch installed. I'm running Ubuntu 22.04 LTS as the host OS, didn't have to touch anything beyond the basic Docker install. Next step is build a new Dockerfile that adds in the Stable Diffusion WebUI.[1] [0] https://github.com/AshleyYakeley/stable-diffusion-rocm [1] https://github.com/hlky/stable-diffusion-webui

Cheeky: https://github.com/hlky/stable-diffusion-webui/blob/master/i...

I simply don't use the closed source ones? Easy to filter (can I see the source?), and helps if I want to contribute as well. Currently using https://github.com/hlky/stable-diffusion + https://github.com/hlky/stable-diffusion-webui which are both FOSS and works well.

You can do using img2img method based on top of SD. Another option is to create an embedding of a concept based on textual inversion and then use the embedding to guide SD generation. Both methods are possible using this: https://github.com/hlky/stable-diffusion-webui

web demo for stable diffusion (txt2img): https://huggingface.co/spaces/stabilityai/stable-diffusion github with web ui: https://github.com/hlky/stable-diffusion dev repo (more features, may have bugs): https://github.com/hlky/stable-diffusion-webui repo with docker: https://github.com/AbdBarho/stable-diffusion-webui-docker colab repo (new): https://github.com/altryne/sd-webui-colab can also run it in colab (includes img2img): https://colab.research.google.com/drive/1NfgqublyT_MWtR5Csmr demo made with gradio: https://github.com/gradio-app/gradio

web demo for stable diffusion (txt2img): https://huggingface.co/spaces/stabilityai/stable-diffusion github with web ui: https://github.com/hlky/stable-diffusion dev repo (more features, may have bugs): https://github.com/hlky/stable-diffusion-webui repo with docker: https://github.com/AbdBarho/stable-diffusion-webui-docker colab repo (new): https://github.com/altryne/sd-webui-colab can also run it in colab (includes img2img): https://colab.research.google.com/drive/1NfgqublyT_MWtR5Csmr demo made with gradio: https://github.com/gradio-app/gradio

web demo for stable diffusion (txt2img): https://huggingface.co/spaces/stabilityai/stable-diffusion github with gui: https://github.com/hlky/stable-diffusion dev repo (more features, may have bugs): https://github.com/hlky/stable-diffusion-webui repo with docker: https://github.com/AbdBarho/stable-diffusion-webui-docker colab repo (new): https://github.com/altryne/sd-webui-colab can also run it in colab (includes img2img): https://colab.research.google.com/drive/1NfgqublyT_MWtR5Csmr... demo made with gradio: https://github.com/gradio-app/gradio

web demo for stable diffusion: https://huggingface.co/spaces/stabilityai/stable-diffusion can also run it in colab (includes img2img): https://colab.research.google.com/drive/1NfgqublyT_MWtR5Csmr... and web ui for stable diffusion runs locally (includes gfpgan/realesrgan and alot of other features): https://github.com/hlky/stable-diffusion-webui