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 whenmodel 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 whenmodel 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.sizeset to “Custom”,model.custom_widthandmodel.custom_heightmust 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.markupandmodel.markup_alphamust be connected together. Markup needs at least one reference image, and its width and height must match the first reference image.- Without
model.imagesthe 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.complexityexists only ongpt-image-2.6-flareandgpt-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
Source fingerprint (SHA-256):
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