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In December we first launched native picture output in Gemini 2.0 Flash to trusted testers. At present, we’re making it accessible for developer experimentation throughout all areas presently supported by Google AI Studio. You’ll be able to take a look at this new functionality utilizing an experimental model of Gemini 2.0 Flash (gemini-2.0-flash-exp) in Google AI Studio and through the Gemini API.
Gemini 2.0 Flash combines multimodal enter, enhanced reasoning, and pure language understanding to create pictures.
Listed below are some examples of the place 2.0 Flash’s multimodal outputs shine:
1. Textual content and pictures collectively
Use Gemini 2.0 Flash to inform a narrative and it’ll illustrate it with photos, holding the characters and settings constant all through. Give it suggestions and the mannequin will retell the story or change the type of its drawings.
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Story and illustration technology in Google AI Studio
2. Conversational picture modifying
Gemini 2.0 Flash helps you edit pictures by means of many turns of a pure language dialogue, nice for iterating in the direction of an ideal picture, or to discover completely different concepts collectively.
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Multi-turn dialog picture modifying sustaining context all through the dialog in Google AI Studio
3. World understanding
In contrast to many different picture technology fashions, Gemini 2.0 Flash leverages world information and enhanced reasoning to create the suitable picture. This makes it good for creating detailed imagery that’s practical–like illustrating a recipe. Whereas it strives for accuracy, like all language fashions, its information is broad and basic, not absolute or full.
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Interleaved textual content and picture output for a recipe in Google AI Studio
4. Textual content rendering
Most picture technology fashions battle to precisely render lengthy sequences of textual content, typically leading to poorly formatted or illegible characters, or misspellings. Inner benchmarks present that 2.0 Flash has stronger rendering in comparison with main aggressive fashions, and nice for creating ads, social posts, and even invites.
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Picture outputs with lengthy textual content rendering in Google AI Studio
Begin making pictures with Gemini at this time
Get began with Gemini 2.0 Flash through the Gemini API. Learn extra about picture technology in our docs.
from google.genai import sorts
consumer = genai.Shopper(api_key=“GEMINI_API_KEY”)
response = consumer.fashions.generate_content(
mannequin=“gemini-2.0-flash-exp”,
contents=(
“Generate a narrative a couple of cute child turtle in a 3d digital artwork type. “
“For every scene, generate a picture.”
),
config=sorts.GenerateContentConfig(
response_modalities=[“Text”, “Image”]
),
)
Whether or not you might be constructing AI brokers, creating apps with lovely visuals like illustrated interactive tales, or brainstorming visible concepts in dialog, Gemini 2.0 Flash means that you can add textual content and picture technology with only a single mannequin. We’re desperate to see what builders create with native picture output and your suggestions will assist us finalize a production-ready model quickly.
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