How to Build a Stable Diffusion text-to-image generator (OSS)
In this tutorial, we show you how to deploy diffusion models like Stable Diffusion in production as ready-to-use apps.
How to Build a Stable Diffusion text-to-image generator (OSS) launched on October 12, 2022 with 8 votes, #1,260 of 3,153 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 4 years on.
What it does
Today, we released Muse : an entirely open-source text-to-image generator built on Stable Diffusion, and a blueprint for building intelligent cloud applications based on diffusion models. Give it a try! If you’re a part of the AI community, then chances are you’ve probably seen the dizzying speed at which diffusion models (and their applications) are being developed. Diffusion models — a subcategory of deep generative models — are made up of forward and reverse diffusion stages to generate data similar to the data on which they’re trained. At Lightning, we provide a way to deploy diffusion models at scale, which we cover below. A recent (and open-source) example of a diffusion model is…from lightning.ai
Does a similar job
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Stable Diffusion v2 web interface2022 · getimg.ai · ▲72Design unique visuals with our Text to Image AI tool. Generate beautiful, custom images from your text prompts, with options for various styles.
- SPStock Photos Using Stable Diffusion2022 · ghostlystock.com · ▲190
Hi HN, this is an early version of what we’re imagining as a truly functional stock photo platform using Stable Diffusion. We’re doing our best to hide the customization prompts on the back end so users are able to quickly search for pre-existing generated photos, or create new ones that would ideally work as well. If we keep going with it, in future versions we’d like to add voting, better tags, and more varied prompts, or maybe whatever you recommend!
- SDStable Diffusion, but Fast2022 · healthydiffusion.com · ▲22


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