Models and options
Every image generator Monet supports, with its resolutions, aspect ratios and model-specific controls.
Every model exposes its own controls, because the services genuinely differ. Google and ByteDance models think in aspect ratios and a resolution tier; OpenAI models think in fixed pixel sizes. Monet shows you whichever set applies to the model you picked.
| Model | Service | Resolution | Notes |
|---|---|---|---|
| Nanobanana Progemini-3-pro-image-preview | Google Gemini | 1K, 2K, 4K | 10 aspect ratios, from 1:1 to 21:9. Defaults to 2K. |
| Nanobanana 2gemini-3.1-flash-image-preview | Google Gemini | 512, 1K, 2K, 4K | 14 aspect ratios, adding banner and panorama shapes such as 4:1 and 8:1. Defaults to 1K. |
| GPT Image 2gpt-image-2 | OpenAI | Up to 3840×2160 | Fixed sizes rather than ratios. Quality, background, output format (PNG, JPEG, WebP) and moderation level. |
| GPT Image 1.5gpt-image-1.5 | OpenAI | Up to 1536×1024 | Quality, background (including transparent) and output format. |
| Seedream 5.0 Proseedream-5.0-pro | ByteDance, via fal.ai | 1K, 2K | 14 aspect ratios and reference-image editing. Defaults to 2K. |
Shared options
- Aspect ratio. Square, portrait, landscape and widescreen shapes, up to ultra-wide 21:9. Nanobanana 2 and Seedream add extreme banner shapes such as 4:1, 1:4, 8:1 and 1:8.
- Resolution. 512 for quick drafts, 1K for everyday work, 2K for detail, and 4K where the model supports it. Larger images take longer and cost more.
- Reference images. Attach existing images to steer the result. This is what keeps a subject recognisable between runs, so it matters most when you are regenerating a layer.
OpenAI-only options
- Quality. Auto, high, medium or low, trading detail against speed.
- Background. Auto or opaque, and on GPT Image 1.5, transparent, which is handy for layers you plan to composite.
- Output format. PNG for lossless and transparency, JPEG for smaller files, or WebP.
- Moderation. Auto or low, controlling how strict OpenAI’s content filtering is.