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Add new image generation samples

  • Edit image with text input and image input.
  • Generate image and text content with text input.

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@jdomingr jdomingr requested review from a team as code owners December 19, 2025 20:15
@product-auto-label product-auto-label bot added the samples Issues that are directly related to samples. label Dec 19, 2025
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Summary of Changes

Hello @jdomingr, 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 expands the GenAI sample collection by introducing two new C# examples that demonstrate advanced image generation capabilities. The first sample illustrates how to perform image editing by combining an input image with a text-based instruction, while the second sample showcases the generation of rich multimodal content, producing both descriptive text and relevant images from a single text prompt. These additions enhance the SDK's examples for more complex generative AI use cases.

Highlights

  • New Image Editing Sample: Introduced a new sample demonstrating how to edit an image using both text and image input. This sample takes an existing image (e.g., the Eiffel Tower) and modifies it based on a textual instruction, such as cartoonizing it.
  • New Multimodal Content Generation Sample: Added a new sample that showcases the generation of both text and image content from a single text prompt. An example provided is generating an illustrated paella recipe, complete with textual steps and accompanying images.
  • Associated Tests: Corresponding xUnit tests have been added for both new image generation samples to ensure their functionality and correctness.

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Code Review

This pull request adds two new image generation samples and their corresponding tests. The code is generally well-structured, but there are a few areas for improvement regarding file handling in both the samples and the tests. Specifically, hardcoded filenames can lead to overwritten files, and the tests lack cleanup for the files they generate. I've provided specific suggestions to address these points.

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