Create and edit images with Gemini 2.0 in preview

MAY 7, 2025

Kat KampfProduct Manager

Generate images with Gemini 2.0 Flash in preview

Based on the enthusiasm from developers, we are excited to announce thatImage Generation capabilities are now available in preview withGemini 2.0 Flash.

Developers can start integrating conversational image generation and editing with higher rate limits via the Gemini API inGoogle AI Studio andVertex AI today using the model name “gemini-2.0-flash-preview-image-generation”.

What's new in Gemini 2.0 Flash image generation

In addition to enablinghigher rate limits andpricing, we have also improved the model with:

Better visual quality (vs experimental version)

More accurate text rendering (vs experimental version)

Significantly reduced filter block rates (vs experimental version)

Gemini 2.0 Flash image generation in action

We have loved seeing the community reception of Gemini's image generation capabilities. Here’s a closer look at some of the key functionalities developers have been excited about:

1) Recontextualize products in new environments.

Gemini 2.0 image recontextualization: before and after

2) Collaboratively edit images in real-time.

Try it today with theGemini Co-Drawing Sample App in AI Studio.

3) Edit specific parts of images conversationally, without changing anything else.

Gemini 2.0 Flash conversational image editing - before and after

4) Dynamically create new product SKUs with text rendering and image.

Gemini 2.0 Flash dynamically creates new product SKUs with image

Gemini 2.0 Flash dynamically creating new product SKUs with text rendering - result

5) Ideate with Gemini 2.0 Flash as your partner:

(right click and open in new tab to view)

Start building with Gemini’s native image capabilities today

from google import genaifrom google.genai import typesclient = genai.Client(api_key="GEMINI_API_KEY")response = client.models.generate_content(   model="gemini-2.0-flash-preview-image-generation",   contents=(       "Show me how to bake a macaron with images."   ),   config=types.GenerateContentConfig(        response_modalities=["TEXT", "IMAGE"]   ),)

Python

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You can read more about image generation in ourAPI docs. This preview is available for developers to start building throughGoogle AI Studio andVertex AI .

We look forward to bringing further quality improvements, new capabilities, and expanded rate limits soon. We can’t wait to see what you build with Gemini 2.0 Flash Image Generation.

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