Alternatives
Products that do what PhoneDiffusion does
#1 Local iOS AI Image Generator: Free, Unlimited & Offline
- 1PL
PhoneDiffusion is officially live Now you can generate AI images locally on iPhone with Stable Diffusion. Fast, private, account-free and specifically built for iOS. What you can do: ∙ Generate images in under 5 seconds on the newest iPhones ∙ Choose between fast SD 1.5 models and high quality SDXL models ∙ Use any of the 8 built-in styles ∙ Change steps, CFG and batch count ∙ Keep prompts and images on your device ∙ Use it with no account and no internet after setup Try PhoneDiffusion today: https://apps.apple.com/app/id6762061991
May 2026 · apps.apple.com
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2024 · apps.apple.com
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Private AI image generator — no cloud, no API , 100% offline
Jul 2026 · apps.apple.com
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- 7DT
Hi, this is the first app in a while (probably 10 years) that I submitted to AppStore. I've done this app in 3 weeks, so there are a lot to be polished. The technology that enables this I discussed in depth in an accompanied blog post: https://liuliu.me/eyes/stretch-iphone-to-its-limit-a-2gib-mo... Some parts of it (or major parts) is also available at https://github.com/liuliu/swift-diffusion. I plan to port more stuff back to swift-diffusion and make a CLI tool out of it (it is a bit more work than the app because I need to consider CUDA…
2022 · draw.nnc.ai
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Animate any face, anytime, anywhere, right from your phone
2023 · d-id.com
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3D-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
2023 · github.com
- 13SP
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!
2022 · ghostlystock.com
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2022 · github.com
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