GPT-Image-2.5 Flare

GPT-Image-2.5 Flare is OpenAI's fastest model for high-quality image generation and editing, delivering higher-quality images than GPT Image 2 at 50% lower latency. It improves natural lighting, texture detail, reference-subject preservation, localized editing, and consistency across iterative edits, while handling complex layouts and transparent backgrounds. It is designed for creator content, product experiences, visual search, rapid prototyping, and high-volume generation.

Complete technical specification for integration
Ready-to-use code snippets for common workflows
Step-by-step tutorials for advanced use cases
Editing images How to edit an image with GPT-Image-2.5 Flare: one source, one written instruction, and the composition, lighting and detail the model holds while it changes what you named.
Iterative editing How to run a chain of edits with GPT-Image-2.5 Flare: feeding each result back as the next source, what accumulates across passes, and when to restate instead of chain.
Prompting How to prompt GPT-Image-2.5 Flare: writing a brief it can plan a layout from, pinning counts and positions, and choosing a size from its custom dimension envelope.
Quality levels How to set rendering effort on GPT-Image-2.5 Flare with settings.quality: what each level changes, what it costs, and which subjects are worth the top of the ladder.
Subject consistency How to keep one product or character recognisable across new scenes with GPT-Image-2.5 Flare: how many reference images to send, and how to say what each one is for.
Transparent backgrounds How to generate cut-out assets with GPT-Image-2.5 Flare: settings.background, the output format it forces, and prompting for edges that survive compositing.