Luma Uni 1 Max Text-to-Image by LUMA
luma/uni-1-max/text-to-imageLuma Uni 1 Max text-to-image (Luma AI generations API): higher-quality tier than uni-1. Generate a high-fidelity image from a text prompt. Supports multiple aspect ratios and png/jpeg output.
Set up the model and run your first generation.
Ctrl ⏎Examples
Runs published with this model. Load one into the playground and change whatever you like.
Five enormous smooth white spheres floating silently above a remote mountain valley after rainfall, each sphere featuring a thin dark horizontal seam around its center, different sizes and overlapping positions creating an organic composition, wet grass and dark pine forests below, distant mountains partially hidden by low clouds, subtle mist rising from the valley, pale gray sky beginning to brighten, soft post-rain atmosphere, mysterious but peaceful, extreme scale contrast, surrealist landscape photography, minimalist science fiction, cinematic composition, realistic natural lighting, muted colors, subtle film grain, photorealistic, ultra-detailed, 8K.
Providers
Where this model can run, priced for your account. Auto routing picks the top row and moves down it if a provider fails.
| Provider | Price | Speed | Completed |
|---|---|---|---|
| Atlas CloudLowest price | $0.100 /gen | — | — |
| fal.ai | — | — | — |
| OpenRouter | — | — | — |
Speed and reliability appear once this platform has enough recent runs on a provider.
Questions
- $0.100 per generation on ElliSekiz — the provider's own price, billed 1:1 from a prepaid USD balance with no markup and no subscription. Failed generations are free.
- Atlas Cloud, fal.ai, OpenRouter. Requests route to the cheapest available provider automatically, or you can pin one per request or per model.
- POST to https://ellisekiz.ai/api/v1/generations with "model": "luma/uni-1-max/text-to-image" and your prompt, authenticated with an ElliSekiz API token. The API tab on this page has the full request for this model, including its own parameters.
- aspect_ratio, output_format — each one is in the playground form on this page and in the API example.