OpenAI's GPT Image-2 Prompting Guide for Devs

OpenAI published a detailed cookbook for its gpt-image-2 model covering generation, editing, and compositing through the API. The practical value is in the specifics - photography composition language outperforms generic descriptors, spelling tricky words letter-by-letter fixes text rendering, and quality tiers let you trade latency for fidelity depending on the use case. Editing capabilities go well beyond simple inpainting: virtual try-on with identity preservation, multi-image compositing, and style transfer that holds subjects intact. The three-tier quality system (low, medium, high) is worth noting for production workflows where cost and speed matter as much as output. With Stability, Midjourney, and Google all shipping image APIs in recent months, the competitive surface has shifted from model quality alone to developer ergonomics and prompt reliability.