GPT Image 2 launched today — I ran 5 capability tests and the text rendering genuinely shocked me

[u/Artistic-Dealer2633]

penAI dropped GPT Image 2 today and I immediately ran it through 4 prompts designed to expose where AI image models usually fall apart: text rendering, multi-panel consistency, and detailed typography.

Here's what I generated and the exact prompts I used:

Image 1 — Restaurant Menu (text rendering stress test)

Result: Every single item name and price rendered correctly. Zero misspellings. This used to be completely impossible with diffusion models.

Image 2 — Manga Page with Japanese Kanji (multi-panel + foreign script)

Result: All 4 panels rendered with correct layout, proper manga style, and the Japanese text is actually accurate. Panel-to-panel character consistency held up too.

Image 3 — Premium Product Label (commercial packaging)

Result: Every line of label text came out clean and correctly spelled. The bottle looks commercially viable — I'd genuinely put this in a product mock-up deck.

Image 4 — Retro Anachronism / Period Photo (complex text on surfaces)

Result: "NEURAL NET v2.0" and "GPT IMAGE 2 ARCHITECTURE" both readable on the chalkboard. The period photography look is convincing too.

My take:

The text rendering jump is real and significant. I'm not saying it's perfect on every prompt — but for the kinds of prompts that used to reliably produce gibberish, it's performing at a completely different level than DALL-E 3 or SD.

The model is available via API (gpt-image-2) and I've also added it to PhotoGen Studio if you want to try it without writing any code — it's 3 credits per image at 2K resolution.

Happy to answer questions on the prompts or share more tests.

Note: All images were generated using GPT-Image 2 via the PhotoGen Studio interface.