feat: (genai) add upscale sample for Imagen 4

[katiemn]

Description

Add a new sample for Imagen 4 upscaling capability using the Gen AI SDK for Python

[snippet-bot]

Here is the summary of changes.

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• genai/image_generation/imggen_upscale_with_img.py:19, tag googlegenaisdk_imggen_upscale_with_img

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[gemini-code-assist]

Summary of Changes

Hello @katiemn, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new Python sample that demonstrates the image upscaling capabilities of Imagen 4 through the Google Gen AI SDK. The sample provides a practical example of how to programmatically upscale an image using the imagen-4.0-upscale-preview model, complete with a test to ensure its correct operation. This addition expands the existing set of Gen AI samples, offering developers a clear guide for implementing image enhancement features.

Highlights

• New Imagen 4 Upscaling Sample: A new Python sample, imggen_upscale_with_img.py, has been added to demonstrate how to use the Gen AI SDK to upscale images with the imagen-4.0-upscale-preview model.
• Image Upscaling Functionality: The sample showcases the upscale_images method, taking an input image (dog_newspaper.png) and applying an x2 upscale factor, then saving the result to a specified output file.
• Test Coverage: A corresponding test case, test_img_upscale, has been added to test_image_generation.py to validate the functionality of the new upscaling sample.

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[gemini-code-assist]

Code Review

This pull request adds a new sample for image upscaling with Imagen 4. The implementation is mostly correct, but I've identified a few areas for improvement. There's a potential issue in the test where an input file is overwritten, and the sample code could be made more robust by handling cases where no image is generated and by ensuring output directories exist. I've also suggested a change to make the main function more reusable by parameterizing the input file path.