GPT Image 2.5 Prompt Guide Breakdown: 22 Workflows, 8 Core Techniques
xiaohu · x · 2026-09-10
A detailed breakdown of OpenAI's official GPT Image 2.5 prompting guide covering model selection, parameter limits, and engineering workflows.
- Two-model split: Flare (speed-optimized, quality ≈ GPT Image 2) vs Sunburst (quality-optimized base model); choose by comparing quality, latency, failures, and cost per usable image
- Custom resolutions: multiples of 16, max side 3840px, aspect ratio ≤3:1, 0.65M–8.29M pixels
- Native transparency: Alpha-channel PNG/WebP output, but hair, glass, shadow edges still need checking
- Structured editing: multi-reference role assignment (subject/outfit/background) with explicit change/keep constraints to reduce drift
The guide includes 8 prompt-writing principles and 22 named workflows (9 generation, 8 editing, 2 cross-turn, 3 more) plus engineering-grade prompt templates.
Related event: GPT Image 2.5 Prompting Guide: 8 Rules and 22 Workflows(2 posts)→
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