Tutorial

GPT Image 2 Complete Guide (I): Model selection & parameters

2026 update: Why default to gpt-image-2 for new projects? How to choose quality low/medium/high, understand size constraints, and pick reliable resolutions.

GPTImage2 hk

Want high-quality, commercially usable AI images? GPT Image 2 is among the strongest image models available today. This article covers model choice, parameter tradeoffs, and sizing rules—so you move fast with fewer pitfalls.

Series(II) Prompt basics · (III) Advanced prompt techniques · (IV) Generation use cases · (V) Editing use cases · (VI) Character consistency

Why GPT Image 2?

Your model caps image quality. Per OpenAI guidance, new projects should default to gpt-image-2 because it combines:

  • High-fidelity photorealism
  • More stable faces and identity
  • More reliable on-image text (great for infographics and charts)
  • Stronger stylistic control
  • Real-world knowledge you can lean on in prompts

Model overview: when to use which?

ModelBest for
gpt-image-2Default for new work: high-quality generation & editing, crisp text, photorealism, identity-sensitive edits
gpt-image-1.5Transitioning older workflows
gpt-image-1Not recommended for new pipelines
gpt-image-1-miniHigh-volume drafts/previews when cost matters most

Upgrade path: customer-facing assets, brand work, photoreal deliveries → use gpt-image-2. Mass exploration → consider gpt-image-1-mini.

Quality: choose low / medium / high

  • Speed or concurrency first: try quality="low"
  • Small type, dense layouts, portraits, identity edits: compare medium vs high
  • Judge by first-hit rate and rework cost—not a single lucky render

GPT Image 2 sizing rules (must-know)

  • Longest side < 3840px
  • Width & height must be multiples of 16
  • Aspect ratio ≤ 3:1
  • Total pixels ≤ 8,294,400 (~8.3MP), ≥ 655,360

Quick resolution cheat sheet

TypeSize (W×H)Typical use
Portrait HD1024×1536Phone posters / vertical art
Landscape HD1536×1024Wallpapers / wides
Square1024×1024Avatars / social squares
2K / QHD2560×1440Mainstream desktop 2K
4K / UHD3840×21604K experiments (use cautiously)

Tip: stability can drop beyond 2560×1440—treat ultra sizes as experimental.

Conclusion

If you are starting a new workflow today, default to gpt-image-2, then tune quality and sizing for the task.

👉 Try GPT Image 2 in **[AI Workspace](https://app.gptimage2.hk)**—minimal setup—ship polished frames quickly.

Get started with GPT-image2

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