Every “free AI image generator” caps out at a handful of images, slaps a watermark on the output, or asks for a card on file eventually. Open Generative AI doesn't — its local desktop mode runs entirely on your own machine using a bundled sd.cpp inference engine, so there's no API key, no signup screen, no watermark, and no cap on how many images you generate. The same app also has a toggle for Muapi's hosted API, giving you access to 600+ additional models (including closed models that can't run locally) under one key, paying only for what you generate.
| Local (sd.cpp) | API (Muapi) | |
|---|---|---|
| Cost | Free, unlimited | Pay per generation, from $0.007/image |
| API key / account | None needed | Free account + API key |
| Watermark | None | None |
| Model selection | Open-weight models compatible with sd.cpp | 600+ models, including closed models like GPT Image 2 |
| Where it runs | Your own hardware | Muapi's infrastructure |
| Credits | N/A | Never expire, no monthly reset |
If you flip to API mode, these are the standouts by category.
Sits at #1 on the Artificial Analysis text-to-image arena — the highest raw quality in the catalog, no contest.
Under a cent an image, and also the top open-weights model — the real “make ten variants” model.
Barely filters anything — the pick when you want basically zero content restrictions.
See the full ranked catalog on the AI Image API page.
Local desktop mode is genuinely free and unlimited — it runs the sd.cpp inference engine on your own hardware, so there's no per-image cost, no watermark, and no account required. That claim is scoped specifically to local mode. The hosted API tier (600+ models, no local setup) is metered per generation with no free allowance — you pay only for what you generate, from $0.007/image.
A GPU makes local generation faster, but sd.cpp also runs on CPU. Model choice matters more than raw hardware — smaller models like Z-Image-class checkpoints are usable on modest machines.
Local mode runs open-weight models compatible with the bundled sd.cpp engine. Flip to API mode in the same app for 600+ hosted models under one key, including closed models like GPT Image 2 that can't run locally at all.
Local mode has none — you're running the model on your own machine. On the API tier, filtering depends on the specific model; several endpoints (including Wan 2.7) apply minimal restrictions.
Yes. The full desktop app is open source on GitHub, and the code doing local inference (the sd.cpp integration) ships in the repo, not as a hidden binary.