Multi-image Composition
Mix up to 14 reference images for complex scenes
Gemini 3 Pro Image Preview allows you to mix up to 14 reference images to create complex compositions, including object placement and character consistency.
Up to 14 Reference Images
Mix 6 object images + 5 portrait photos
4K Resolution
Generate professional assets up to 4096x4096
Mixing Reference Images
Combine multiple images to create new compositions while maintaining consistency.
Image Limits
- • Maximum 6 high-fidelity object images
- • Maximum 5 portrait photos for character consistency
Python - Mix Multiple Reference Images
from google import genai
from google.genai import types
from PIL import Image
prompt = "An office group photo of these people, they are making funny faces."
aspect_ratio = "5:4"
resolution = "2K"
client = genai.Client()
response = client.models.generate_content(
model="gemini-3-pro-image-preview",
contents=[
prompt,
Image.open('person1.png'),
Image.open('person2.png'),
Image.open('person3.png'),
Image.open('person4.png'),
Image.open('person5.png'),
],
config=types.GenerateContentConfig(
response_modalities=['TEXT', 'IMAGE'],
image_config=types.ImageConfig(
aspect_ratio=aspect_ratio,
image_size=resolution
),
)
)
for part in response.parts:
if part.text is not None:
print(part.text)
elif image:= part.as_image():
image.save("office.png")Google Search Grounding
Use real-time information from Google Search to generate images based on current data like weather forecasts or stock charts.
Important Notes
- • Image-based search results are not passed to the model
- • Image-only mode does not return images with grounding
Python - Google Search Grounding
from google import genai
from google.genai import types
prompt = "Visualize the current weather forecast for the next 5 days in San Francisco as a clean, modern weather chart. Add a visual on what I should wear each day"
aspect_ratio = "16:9"
client = genai.Client()
response = client.models.generate_content(
model="gemini-3-pro-image-preview",
contents=prompt,
config=types.GenerateContentConfig(
response_modalities=['Text', 'Image'],
image_config=types.ImageConfig(
aspect_ratio=aspect_ratio,
),
tools=[{"google_search": {}}]
)
)
for part in response.parts:
if part.text is not None:
print(part.text)
elif image:= part.as_image():
image.save("weather.png")4K Resolution Output
Generate high-resolution images up to 4K. Note: Must use uppercase K (1K, 2K, 4K).
1K
1024x1024
2K
2048x2048
4K
4096x4096
Python - 4K Resolution Output
from google import genai
from google.genai import types
prompt = "Da Vinci style anatomical sketch of a dissected Monarch butterfly. Detailed drawings of the head, wings, and legs on textured parchment with notes in English."
aspect_ratio = "1:1"
resolution = "4K" # Must use uppercase K
client = genai.Client()
response = client.models.generate_content(
model="gemini-3-pro-image-preview",
contents=prompt,
config=types.GenerateContentConfig(
response_modalities=['TEXT', 'IMAGE'],
image_config=types.ImageConfig(
aspect_ratio=aspect_ratio,
image_size=resolution
),
)
)
for part in response.parts:
if part.text is not None:
print(part.text)
elif image:= part.as_image():
image.save("butterfly_4k.png")