aiimage2 FAQ
aiimage2 · AI Image 2 features and use-case answers.
- How does aiimage2 · AI Image 2 differ from DALL·E?
- aiimage2 · AI Image 2 uses a new architecture that generates images natively inside the language model, with thinking mode, near-perfect text rendering, and 1–10 batch generation — fully replacing DALL·E in 2026.
- What is aiimage2 thinking mode?
- With aiimage2 thinking mode on, the model plans composition, searches references, and verifies text and object counts before outputting up to 8 coherent images in one pass — cutting rework.
- How accurate is aiimage2 text rendering?
- aiimage2 achieves 99%+ accuracy on short English text and 90–95% on Chinese, Japanese, Korean and other non-Latin scripts — ideal for posters, banners and UI mockups.
- What resolutions and aspect ratios does aiimage2 support?
- aiimage2 outputs 2K standard with higher tiers available; aspect ratios from 3:1 to 1:3 cover banners, posters and vertical social formats.
- How do I start using aiimage2?
- Use aiimage2 via AI Chat or the AIImage platform. For complex series, enable thinking mode — see our tutorials.
- Does aiimage2 support transparent backgrounds?
- aiimage2 does not currently output transparent backgrounds; pair with FLUX or similar for cutout workflows.
- What is the aiimage2 batch limit?
- aiimage2 thinking mode produces up to ~8 coherent images per run — great for poster series, storyboards and e-commerce variants. See our batch tutorial.
- Which commercial use cases suit aiimage2?
- aiimage2 fits e-commerce hero and detail shots, UI/UX mockups, multilingual ad posters, publishing art, comic storyboards and automated content pipelines.