Exploring Image Generation with Gemini 2.0 Flash – Google Developers Blog

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In December, we first introduced native image output in Gemini 2.0 Flash to trusted testers. Today, we're making it available for developer experimentation across all regions currently supported by Google AI Studio. You can test this new capability using an experimental version of Gemini 2.0 Flash (gemini-2.0-flash-exp) in Google AI Studio and via the Gemini API. Gemini 2.0 Flash combines multimodal input, enhanced reasoning, and natural language understanding to create images. Here are some examples of where 2.0 Flash’s multimodal outputs shine:

1. Text and images together  
Use Gemini 2.0 Flash to tell a story, and it will illustrate it with pictures, keeping the characters and settings consistent throughout. Provide feedback, and the model will retell the story or alter the style of its drawings.

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    Story and illustration generation in Google AI Studio

2. Conversational image editing  
Gemini 2.0 Flash assists you in editing images through many turns of a natural language dialogue, making it ideal for arriving at the perfect image or exploring various ideas collaboratively.

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    Multi-turn conversation image editing maintaining context throughout the conversation in Google AI Studio

3. World understanding  
Unlike many other image generation models, Gemini 2.0 Flash leverages world knowledge and enhanced reasoning to create accurate imagery. This makes it suitable for producing detailed visuals that are realistic—like illustrating a recipe. While it strives for accuracy, like all language models, its knowledge is broad and general, not absolute or complete.

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    Interleaved text and image output for a recipe in Google AI Studio

4. Text rendering  
Most image generation models struggle to accurately render long sequences of text, often resulting in poorly formatted or illegible characters. Internal benchmarks show that 2.0 Flash excels in rendering compared to leading models, making it great for creating advertisements, social posts, or even invitations.

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    Image outputs with long text rendering in Google AI Studio

Get started with Gemini 2.0 Flash via the Gemini API. Learn more about image generation in our documentation.

```python
from google import genai
from google.genai import types

client = genai.Client(api_key="GEMINI_API_KEY")

response = client.models.generate_content(
    model="gemini-2.0-flash-exp",
    contents=(
        "Generate a story about a cute baby turtle in a 3d digital art style. "
        "For each scene, generate an image."
    ),
    config=types.GenerateContentConfig(
        response_modalities=["Text", "Image"]
    ),
)

Whether you are building AI agents or developing apps with beautiful visuals like illustrated interactive stories, Gemini 2.0 Flash allows you to add text and image generation with just a single model. We’re eager to see what developers create with native image output, and your feedback will help us finalize a production-ready version soon.

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