Last year, while working on a brand visual project for a client, I ran into a problem that drove me crazy. The client wanted a series of posters featuring a cartoon mascot in five different scenes. I generated dozens of images in Midjourney — each one looked decent on its own, but the mascot's face? Completely different every time. Round eyes in one, narrow eyes in the next, even the nose shape changed. The client asked, "Is this really the same character?" I had no answer. I tried everything. ControlNet for pose control. Seed values to lock randomness. Even manual patching in Photoshop. The workflow was painfully slow. A simple storyboard that should have taken two days stretched to more than a week. Then I came across OpenAI's new GPT Image 2 model. It handled character consistency differently — not through parameter tuning, but because the model itself understood "this is the same person." Upload a reference photo, write a description, change the scene — the face stays the same. No extra plugins, no complicated setups. So we decided to turn it into a tool anyone can use directly. No OpenAI registration, no API tinkering — just open the page and go. The free tier covers everyday use, with options to upgrade for 4K upscaling or commercial licensing. Image2GPT came from one frustrating client meeting and grew into a tool that can save people days of work. If you've ever pulled your hair out trying to keep a character looking consistent across scenes, this might be what you need.

Images 2 GPT

AI, imagegeneration, design, editing, texttoimage

AI, imagegeneration, design, editing, texttoimage