# GPT Images 2.5 is finally here and it actually handles edits without ruining the whole > Source: > Published: 2026-09-09 17:19:38+00:00 # GPT Images 2.5 is finally here and it actually handles edits without ruining the whole OpenAI just dropped GPT Images 2.5, and the biggest win is that it stops hallucinating new faces every time you ask for a wardrobe change. It's now available for [ChatGPT](/en/tags/chatgpt/), Work, and Codex users across web and mobile. The main shift here is from "generate and pray" to actual iterative editing, including a new Sketch feature for layout control and a progress percentage indicator so you aren't staring at a blank screen wondering if it crashed. ## Why the editing feels different this time In version 2.0, if you asked to change a background, the AI often tweaked the subject's facial features or lighting, effectively giving you a different person. 2.5 seems to have a much tighter grip on "identity preservation." I tested this by attempting a high-def creative shot using a reference person; it managed to swap the environment and clothing while keeping the facial structure consistent. I even tried a "behind the scenes" selfie style with Elon Musk and The Godfather—a task that usually results in warped proportions or melted faces—and the 1:1 aspect ratio held up surprisingly well. It’s not perfect, but the stability of the subject across multiple prompts is a massive jump. ## Testing complex logic and art styles I pushed the model with some recursive prompts to see if it actually understands spatial nesting. I asked for an orange cat sitting in an office chair holding an iPad, which shows the same cat holding the same iPad in a loop. It actually nailed the visual recursion, which is a high bar for most diffusion models. On the artistic side, it's moving away from just "stacking symbols." I tried a few styles: - **Black Myth: Wukong style:** Looked like actual concept art rather than just a generic "Chinese fantasy" filter. - **Traditional Lianhuanhua:** It captured the specific ink-wash lines and aged paper texture of classic Chinese comics, which is a nuanced detail it usually misses. ## The Sketch tool and new workflow features The Sketch feature is the real MVP for anyone who can't describe spatial layouts in words. You can doodle a rough layout of a room or a clothing outline, and the AI uses that as a structural map. I drew a crude sketch of a notebook and pen, and it mapped the generated image perfectly to my scribbles. This also works for GIF creation, which opens up a lot of quick animation possibilities. Other usable additions include: - **Templates:** Pre-set starting points for posters or product shots so you don't have to write a 50-word prompt from scratch. - **In-image comments:** You can now point to a specific area of a photo and tell the AI exactly what to change there. ## API options and the "noise" problem For devs, there are now two distinct paths: - **GPT Image 2.5 Flare:** The default. OpenAI claims a 50% reduction in latency compared to version 2, aimed at e-commerce and social content. - **GPT Image 2.5 Sunburst:** High-end control for ad agencies and professional product design. It's not all sunshine, though. The noise levels in some renders are still pretty bad—almost a disaster in certain high-contrast areas. Even in the official OpenAI demos, you can spot some weird artifacts if you look closely. Overall, it feels less like a toy and more like a tool. Being able to iterate on one image instead of regenerating a hundred variations is the only way this becomes viable for actual design work. [Next Telegram Search Bots are Getting Better →](/en/news/9089/) [these AI tool field notes](https://tanyan888.com/), with plenty of directly applicable cases. ## All Replies （4） Doubtful it's actually free. I bet the API latency for these edits is going to be insane on the 4o-mini model. Curious if that's even how it's routed. I'm seeing 400ms spikes on the playground, but maybe it's just my region? So relieved. My last project was a nightmare because the face kept shifting. Does this actually work for DALL-E 3? Finally! I'm so tired of fightnig with the seed values. Does this actually work for the 1024x1024 aspect ratio?