Stable Diffusion

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founded 3 years ago
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This is a copy of /r/stablediffusion wiki to help people who need access to that information


Howdy and welcome to r/stablediffusion! I'm u/Sandcheeze and I have collected these resources and links to help enjoy Stable Diffusion whether you are here for the first time or looking to add more customization to your image generations.

If you'd like to show support, feel free to send us kind words or check out our Discord. Donations are appreciated, but not necessary as you being a great part of the community is all we ask for.

Note: The community resources provided here are not endorsed, vetted, nor provided by Stability AI.

#Stable Diffusion

Local Installation

Active Community Repos/Forks to install on your PC and keep it local.

Online Websites

Websites with usable Stable Diffusion right in your browser. No need to install anything.

Mobile Apps

Stable Diffusion on your mobile device.

Tutorials

Learn how to improve your skills in using Stable Diffusion even if a beginner or expert.

Dream Booth

How-to train a custom model and resources on doing so.

Models

Specially trained towards certain subjects and/or styles.

Embeddings

Tokens trained on specific subjects and/or styles.

Bots

Either bots you can self-host, or bots you can use directly on various websites and services such as Discord, Reddit etc

3rd Party Plugins

SD plugins for programs such as Discord, Photoshop, Krita, Blender, Gimp, etc.

Other useful tools

#Community

Games

  • PictionAIry : (Video|2-6 Players) - The image guessing game where AI does the drawing!

Podcasts

Databases or Lists

Still updating this with more links as I collect them all here.

FAQ

How do I use Stable Diffusion?

  • Check out our guides section above!

Will it run on my machine?

  • Stable Diffusion requires a 4GB+ VRAM GPU to run locally. However, much beefier graphics cards (10, 20, 30 Series Nvidia Cards) will be necessary to generate high resolution or high step images. However, anyone can run it online through DreamStudio or hosting it on their own GPU compute cloud server.
  • Only Nvidia cards are officially supported.
  • AMD support is available here unofficially.
  • Apple M1 Chip support is available here unofficially.
  • Intel based Macs currently do not work with Stable Diffusion.

How do I get a website or resource added here?

*If you have a suggestion for a website or a project to add to our list, or if you would like to contribute to the wiki, please don't hesitate to reach out to us via modmail or message me.

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Abstract

We introduce LLaDA-Image, a unified framework that pairs a 6B Diffusion Transformer (DiT) trained from scratch with a frozen vision-language understanding module built on the LLaDA2.0-Mini diffusion language model backbone. Instead of relying heavily on paired image-text data from the beginning, we first build a strong visual generative prior through image-only pre-training and mid-training. The generation pipeline comprises 220M samples, 98 of which are real images. For efficient and scalable optimization, we use parameter-free RMSNorm throughout the DiT together with the Muon optimizer. The resulting unified model produces highly photorealistic images while accurately following fine-grained editing instructions. We further distill LLaDA-Image into LLaDA-Image-Turbo, enabling fast inference in 2-4 sampling steps. On Qwen-Image-Bench, LLaDA-Image achieves overall scores of 53.53 and 53.38 on the English and Chinese tracks, respectively, setting a new state-of-the-art among open-source models on both tracks. To support further research on capable and efficient generative models, we release our model weights, training code, and detailed recipes.

Paper: https://arxiv.org/abs/2609.03796

Code: https://github.com/inclusionAI/LLaDA-Image

Model: https://huggingface.co/inclusionAI/LLaDA-Image

Turbo Model: https://huggingface.co/inclusionAI/LLaDA-Image-Turbo

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