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Implementation:Googleapis Python genai Models Upscale Image

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Knowledge Sources
Domains Computer_Vision, Image_Processing
Last Updated 2026-02-15 00:00 GMT

Overview

Concrete tool for upscaling image resolution using neural super-resolution models provided by the google-genai models module.

Description

Models.upscale_image takes an input Image, an upscale model, and an upscale factor to produce a higher-resolution version. The method supports x2 and x4 upscale factors. Optional configuration controls the output MIME type and whether to enhance the input image. The input Image can come from generate_images output or be loaded from a file.

Usage

Call client.models.upscale_image with the upscale model, input Image object, and desired upscale factor. The input image can be obtained from generate_images output or created from a file using types.Image.from_file.

Code Reference

Source Location

Signature

class Models:
    def upscale_image(
        self,
        *,
        model: str,
        image: types.ImageOrDict,
        upscale_factor: str,
        config: Optional[types.UpscaleImageConfigOrDict] = None,
    ) -> types.UpscaleImageResponse:
        """Upscales an image to higher resolution.

        Args:
            model: Upscale model ID.
            image: Input Image object to upscale.
            upscale_factor: 'x2' or 'x4'.
            config: Optional upscale configuration.
        """

Import

from google import genai

I/O Contract

Inputs

Name Type Required Description
model str Yes Upscale model ID
image ImageOrDict Yes Input Image to upscale
upscale_factor str Yes Upscale factor: 'x2' or 'x4'
config Optional[UpscaleImageConfigOrDict] No Output format and enhancement options

Outputs

Name Type Description
UpscaleImageResponse UpscaleImageResponse Response with upscaled image data

Usage Examples

Upscale a Generated Image

from google import genai
from google.genai import types

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

# Generate an image first
gen_response = client.models.generate_images(
    model="imagen-4.0-generate-001",
    prompt="A detailed botanical illustration"
)

# Upscale the first generated image
upscale_response = client.models.upscale_image(
    model="imagen-3.0-generate-001",
    image=gen_response.generated_images[0].image,
    upscale_factor="x2"
)

upscale_response.generated_images[0].image.save("upscaled_botanical.png")

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