PhoneDiffusion
#1 Local iOS AI Image Generator: Free, Unlimited & Offline
What it does
PhoneDiffusion brings Stable Diffusion to iPhone without the usual cloud workflow. Generate images locally on supported devices, keep prompts and outputs on-device, and save everything in a private local gallery. The app routes each phone to a curated launch model - either SD 1.5 or SDXL. Pro adds premium curated models plus manual CFG, step and batch controls.
Does a similar job
all alternatives →- PLPhoneDiffusion – Local AI image generation for iOSMay 2026 · apps.apple.com · ▲11
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
- RSRun Stable Diffusion Directly on iPhone2024 · apps.apple.com · ▲162
Local AI Art: PocketDiffusionJul 2026 · apps.apple.com · ▲14Private AI image generator — no cloud, no API , 100% offline
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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