ChatGPT Images 2.5 is here — and I wanted to find out what it can actually do.

In this video, I put OpenAI's new ChatGPT Images 2.5 image model through a series of real-world tests, from turning terrible sketches into detailed images to creating stop-motion animations, maintaining character consistency, following brand guidelines, generating advertisements, and creating text-heavy visuals like newspapers, textbooks, and infographics.
OpenAI says ChatGPT Images 2.5 brings sharper details, faster image generation, more precise editing, better reference fidelity, and improved consistency across edits. OpenAI also introduced Sketch, which lets you draw directly in ChatGPT and use your sketch as a reference for the final image. :contentReference[oaicite:1]{index=1}

🎨 WHAT I TESTED
✅ Sketch-to-image generation
✅ Turning rough drawings into realistic images
✅ Stop-motion animation using multiple generated frames
✅ Character consistency with reference images
✅ AI Biceps branding + character references
✅ Product reference consistency
✅ Coca-Cola, Netflix & Amazon-style advertising concepts
✅ Text generation inside images
✅ Realistic newspaper generation
✅ Mathematics textbook page generation
✅ Educational infographic generation
✅ Image quality, instruction following & generation speed

⚡ WHAT CHANGED?
OpenAI says Images 2.5 improves image fidelity, editing precision, multi-turn consistency and generation speed. OpenAI also says latency has been reduced by up to 50% compared with Images 2.0. I tested these capabilities myself to see how they perform in actual creative workflows.
💬 WHAT SHOULD I TEST NEXT?
Have a crazy GPT Image 2.5 / ChatGPT Images 2.5 use case?
Send it to me on X. I may feature some of the best examples in a future AI Biceps video.


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