Stable Diffusion

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founded 2 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

This paper proposes FreeFuse, a training-free framework for multi-subject text-to-image generation through automatic fusion of multiple subject LoRAs. In contrast to prior studies that focus on retraining LoRA to alleviate feature conflicts, our analysis reveals that simply spatially confining the subject LoRA's output to its target region and preventing other LoRAs from directly intruding into this area is sufficient for effective mitigation. Accordingly, we implement Adaptive Token-Level Routing during the inference phase. We introduce FreeFuseAttn, a mechanism that exploits the flow matching model's intrinsic semantic alignment to dynamically match subject-specific tokens to their corresponding spatial regions at early denoising timesteps, thereby bypassing the need for external segmentors. FreeFuse distinguishes itself through high practicality: it necessitates no additional training, model modifications, or user-defined masks spatial conditions. Users need only provide subject activation words to achieve seamless integration into standard workflows. Extensive experiments validate that FreeFuse outperforms existing approaches in both identity preservation and compositional fidelity. Our code is available at this https URL.

Paper: https://arxiv.org/abs/2510.23515

Code: https://github.com/LuqP2/Image-MetaHub

Blog:

Project Page:

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Refresh release two weeks after prior release, yet we still somehow managed to pack in ~150 commits!
Highlights would be two new models: Z-Image-Base and Anima, captioning support for tagger models and a massive addition of new schedulers
Also here are updates to torch and additional GPU archs support for ROCm backends, plus a lot of internal improvements and fixes.

ReadMe | ChangeLog | Docs | WiKi | Discord | Sponsor

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You need comfyui-sdnq to load SDNQ quantized models in ComfyUI: https://github.com/EnragedAntelope/comfyui-sdnq

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Tongyi-MAI/Z-Image Base (huggingface.co)
submitted 1 week ago* (last edited 1 week ago) by Even_Adder@lemmy.dbzer0.com to c/stable_diffusion@lemmy.dbzer0.com
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