To create an image with Gemini AI, you provide a descriptive text prompt to the Gemini model, which then generates an image based on that description. You can do this through code, using Python or JavaScript with the Gemini API, or through user-friendly interfaces such as the Vertex AI Studio or Gemini's web app.

How to Create Images with Gemini AI

• Using Python code with the Gemini API, you create a client, send a text prompt to a Gemini image-generation enabled model (like "gemini-2.5-flash-image-preview"), and receive image data that you can save as an image file. For example, a prompt like "Create a picture of a nano banana dish in a fancy restaurant with a Gemini theme" will generate a corresponding image which can be saved locally.
• You can also combine text and images in your prompt. For instance, uploading a base dress image and a model image and then instructing Gemini to create a photo of the model wearing the dress. This allows for realistic customized image creation.
• Gemini image generation is available on platforms like Google's Vertex AI Studio, where you enter a prompt in a graphical interface, select an image-generation model, and get images generated for download.
• There are also web apps and platforms (such as Bylo.ai or the Gemini official app) that let you enter text prompts directly, choose between realistic or stylized image styles, generate the image, refine it conversationally, and download the final image.

Key Points

• Use detailed descriptive prompts describing the scene, style, elements, colors, and mood for better results.
• You can refine the generated image by providing further instructions through conversational exchanges with Gemini.
• Both programming and user interface options are available depending on your preference and technical skill.
• Generated images can be saved in PNG or other common image formats.

If required, example Python code to generate an image with Gemini AI is:

python

from google import genai
from PIL import Image
from io import BytesIO

client = genai.Client()

prompt = (
    "Create a picture of a nano banana dish in a fancy restaurant with a Gemini theme"
)

response = client.models.generate_content(
    model="gemini-2.5-flash-image-preview",
    contents=[prompt],
)

for part in response.candidates[0].content.parts:
    if part.inline_data is not None:
        image = Image.open(BytesIO(part.inline_data.data))
        image.save("generated_image.png")
        image.show()

This will create and save the generated image according to the prompt.