Nano Banana 2.1

Nano Banana 2.1

Create and edit images at 1K, 2K, or 4K with up to 14 ordered reference images. Choose from nine aspect ratios, including 4:5 and 21:9.

Why choose Nano Banana 2.1

Key strengths

• Detailed image generation with improved text rendering and composition.
• Reference-guided editing with up to 14 input images.

Good fit for

• Product images, posters, and layouts with readable text.
• Edits that preserve a subject while changing its surroundings.

Inputs and output settings

This table reflects the model routes and controls currently exposed by MachGen.

Using Nano Banana 2.1

1. Choose a supported generation mode in Playground.
2. Add the required prompt and source or reference assets.
3. Select output settings from the controls shown for that mode.
4. Generate, then inspect the returned asset before reusing the settings through the API.

Practical guidance

• Describe the subject, action or composition, environment, and visual direction in a clear order.
• For image editing, state what should change and what should remain unchanged.

How to get better Nano Banana 2.1 results

• Quote the exact text you want in the image and describe its placement.
• For edits, explain what should change and what should stay the same.
• Start at 1K to explore a composition, then use 2K or 4K for the final image.

Limits and availability

• MachGen admits only the modes and settings listed above for this catalog model.
• Source assets must finish uploading before a request can be submitted.
• Generated results can vary between requests, including when the same prompt and settings are reused.
• Nano Banana 2.1 is pass-through. MachGen sends the request through its upstream provider integration and returns the generated asset.

Learn more

For model background, technical details, and architecture, see the official Nano Banana 2.1 model documentation.

Try this model in the MachGen Playground.

Official documentation may describe capabilities or parameters that are not currently exposed by MachGen. Use the Inputs and output settings section above as the source of truth for this page.

Nano Banana 2.1 pricing

See Pricing for currently published MachGen rates. When available, the Playground estimate reflects the selected task and output settings.

Nano Banana 2.1 on MachGen

Deployment: Pass-through. Nano Banana 2.1 is pass-through. MachGen sends the request through its upstream provider integration and returns the generated asset.

The Playground and API sections on this page list the inputs and output settings exposed for this model.