IXEAU

Honest software carefully crafted

246 followers

Honest software carefully crafted

246 followers

A one man software studio that crafts native apps for macOS and iOS based in Berlin, Germany. Founded by me, Martin! My apps are opinionated, cultural impactful and tailored for the creative and ambitious.

This is the 6th launch from IXEAU. View more

AI Photo

Run Stable Diffusion offline on macOS and iOS

Turn text into images! AI Photo is a user-friendly text-to-image generator app that creates photos and artworks, all offline, based on your image description.

Payment Required

Launch tags:

Mac•Design Tools•Artificial Intelligence

Launch Team

Martin Lexow

Pieoneer

Maker

I started to build this app right after Apple released its Stable Diffusion framework in late December 2022. What fascinated me is that it’s optimised for CoreML and runs incredibly well on Apple silicon chips as well as on current gen iOS devices. Having the possibility to run Stable Diffusion in a convenient UI in an all-offline environment felt great, so I threw myself into this project and just two weeks later the app arrived on the App Store. I’ve added a bunch of new features since then and would love to continue to do so. Although the app already runs great on iPads, right now I’m working on a native UI for iPadOS that makes use of all the available space. Let me know what I should improve next! 🥳

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2yr ago

Max Ziebell

Stable Diffusion is about to announce a 30x speed up according to Emad Mostaque in recent interviews.

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2yr ago

Martin Lexow

Pieoneer

Maker

@maxziebell Read that too — bright times ahead for on-device image generation! 🥳 Even if it’s impressive by itself, generating an image on my iPhone 14 takes about 3–4 minutes.

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2yr ago

Chris Messina

Ambassador

Hunter

Excited for the potential of using my local GPU — finally something worthwhile to throw those upcoming M2 Ultra chips!

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2yr ago

Martin Lexow

Pieoneer

Maker

Thank you for hunting this @chrismessina 🙏 I can’t imagine how fast this will be on an M2 Ultra chip 😅 It already takes just a few seconds on my M1 MacBook

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2yr ago