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Gemini Flash Multi Image Editor

Edit multiple images using natural language instructions with Google's Gemini Flash model

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Inputs

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Execution Steps

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Overview

Gemini Flash Multi Image Editor edits or combines one to ten source images from natural-language instructions and returns edited image output plus a short AI-written description. Use it when a campaign, product, or social visual needs multiple references, source images, or comparison inputs in one edit request.

Use cases

  • Combine product, background, and reference images into a single edited visual.
  • Use several source images to guide a brand, style, or composition change.
  • Edit a set of campaign images from one prompt and compare the returned options.
  • Use the returned description to understand how the model interpreted the multi-image edit.

Input tips

  • Provide 1-10 public input_image_urls that can be fetched without login.
  • Write a prompt from 3-5,000 characters that explains each image's role and the desired edit.
  • Call out what should be preserved across images, such as product shape, logo, color, or layout.
  • Use the single-image Gemini AI Tool when the edit only needs one source image.

Expected output

The AI Tool returns one or more edited images with downloadable URLs and optional content type, file name, file size, width, and height, plus an AI-generated description of the edit and cost metadata. The output view renders a single image or gallery, the AI Description section, the Gemini Flash Multi Image Editor model label, and image count.

Caveats

  • Input image URLs must be public and reachable.
  • This AI Tool uses input_image_urls, not image_urls.
  • Multi-image prompts need clear roles for each source image to reduce unwanted blending or omissions.
  • Generated details, text, logos, product features, and faces should be reviewed before use.
  • The AI-generated description may be general and should not be treated as proof of exact edits.

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