Bild
local-dream
Run Stable Diffusion on Android Devices with Snapdragon NPU acceleration. Also supports CPU/GPU inference.
★ 3,6 Tsd. SterneUnknown
Anleitung ansehen →ZPix ist ein Open-Source-Projekt aus der Kategorie Bild von SamuelTallet (SamuelTallet/ZPix auf GitHub). Es hat 122 Sterne auf GitHub und 26 Forks, wird unter der Lizenz GPL-3.0 veröffentlicht und wurde zuletzt am 27. September 2026 auf GitHub aktualisiert.
Local AI image generator and editor powered by open image models
Get the build for your desktop OS.
Fetch the open image models you want.
Create images from prompts on-device.
Tweak results and save them.
Open models run on your machine.
Edit what you generate.
Linux, macOS and Windows.
Private by architecture.
Works fully offline once set up.
Free; distributed mods stay open.
Download the source and move into the project folder.
git clone https://github.com/SamuelTallet/ZPix.git
cd ZPixEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at SamuelTallet/ZPix with 162 forks. Check the repo's contributors and recent commits to see how active maintenance is.
GPL-3.0 licensed — commercial use allowed, but distributed modifications must stay open.
Yes — models run locally once downloaded.
Local image models run much faster with one.
Open image models — see the README for the supported list.
Run Stable Diffusion on Android Devices with Snapdragon NPU acceleration. Also supports CPU/GPU inference.
Stable Diffusion web UI
Focus on prompting and generating
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Open-source alternative to the popular AI photo editor — all local
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Die anderen Projekte der Kategorie Bild mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls ZPix nicht das Richtige ist.
Stable Diffusion web UI
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Verwandte Projekte der Kategorie Bild im Katalog, die ZPix bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.