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Overview

OpenAI GPT Image 2.6 generates images from a prompt, and edits them when you connect reference images, using OpenAI’s GPT Image models. The node offers four models: gpt-image-2.6-flare, gpt-image-2.6-sunburst, gpt-image-2.5-flare and gpt-image-2.5-sunburst. Draw annotations on the first reference image and connect them as a markup pair to show the model exactly where to edit.

Inputs

Common Inputs

gpt-image-2.6-flare and gpt-image-2.6-sunburst Inputs

These inputs appear when model is set to gpt-image-2.6-flare or gpt-image-2.6-sunburst. Both models share the same parameters.

gpt-image-2.5-flare and gpt-image-2.5-sunburst Inputs

These inputs appear when model is set to gpt-image-2.5-flare or gpt-image-2.5-sunburst. They match the 2.6 models except that model.complexity is not offered. Parameter Constraints and Limitations:
  • With model.size set to “Custom”, model.custom_width and model.custom_height must both be multiples of 16, the longest edge must not exceed 3840, the aspect ratio must not exceed 3:1, and the total pixel count must be between 655,360 and 8,294,400.
  • model.markup and model.markup_alpha must be connected together. Markup needs at least one reference image, and its width and height must match the first reference image.
  • Without model.images the node generates images from the prompt alone; with reference images it edits and combines them.
  • Reference images are downscaled before they are sent to the API.
  • model.complexity exists only on gpt-image-2.6-flare and gpt-image-2.6-sunburst; the 2.5 models use a fixed planning depth.

Outputs

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

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