
AI Image Generator
Most AI image generators lock you into a single model, and when the result isn't right, your only option is to try another site. Carat AI works the other way around: you pick the model first. Choose Google's Nano Banana 2.1 or Nano Banana Pro, OpenAI's GPT Image, or Higgsfield Soul, and every setting that model offers shows up in the app. It isn't a trimmed-down preset. You get the model's own options to adjust. Write your prompt, set things the way you want, and generate. Because the models sit side by side, you can run the same idea through the Nano Banana image generator and GPT Image, then keep the version that fits. If you've been looking for a Gemini image generator and an OpenAI model in one place, without juggling separate apps, this is where to start.
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Pick Nano Banana 2.1, Nano Banana Pro, GPT Image or Higgsfield Soul from the model list.
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Describe the image you want, then set the options that model provides.
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Run the generation, review the result, and download the images you want to keep.
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It's a tool that turns a written description, called a prompt, into a new image. The model reads your text and renders a picture from it. That's why the same prompt can look quite different depending on which model you choose.
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Four: Nano Banana 2.1 and Nano Banana Pro from Google, GPT Image from OpenAI, and Higgsfield Soul from Higgsfield.
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There's no single best model. Settle on a clear one-line idea, run it through two or three models with the same prompt, and keep the result closest to what you had in mind. Comparing side by side is also the easiest way to learn how each model interprets a prompt.
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Nano Banana is the name of Google's Gemini image-generation models. On Carat you can select Nano Banana 2.1 or Nano Banana Pro directly, next to GPT Image and Higgsfield Soul, without switching apps.
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It depends on the model. When you switch models, the app shows the full set of options that model provides, so you adjust exactly what it supports before you generate.
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Name the subject, the setting, the style (photo, illustration, 3D render), the lighting and color, and the framing. Concrete nouns and specific details steer the model better than vague adjectives. If the first result is close but not quite right, change one detail at a time and generate again.