Generate photorealistic images using Stable Diffusion and ControlNet
Generate photorealistic images using Stable Diffusion and ControlNet launched on June 19, 2023 with 6 votes, #1,856 of 4,655 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 3 years on.
Does a similar job
all alternatives →- GIGenerate Images with Stable Diffusion2022 · diffusion.labml.ai · ▲5
Generate Stable Diffusion scenes around 3D models2023 · github.com · ▲1233D-to-photo is an open source tool for Generative AI product photography, that uses 3D models to allow fine camera angle control in generated images. If you have 3D models created using the iOS 3D scanner you can upload them directly on to 3D-to-photo and describe the scene you want to create. For example: "on a city side walk" "near a lake, overlooking the water" Then click "generate" to get the final images. The tech stack behind 3D-to-photo: Handling 3d models on the web: @threejs Hosting the diffusion model: @replicate 3D scanning apps: shopify,Polycam3D or LumaLabsAI
- 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!
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