I used GPT image 2.0 generation to build an AI rendering tool, here's exactly how it works

Being fully transparent because I think this community would appreciate knowing exactly what's under the hood. architects and designers spend hours on rendering. vray, lumion, enscape. all powerful tools but the setup time is brutal especially when you just need something quick to show a client or test a concept. that was the problem I wanted to fix. I tested basically every image generation model out there. midjourney, stable diffusion, dall-e, adobe firefly, all of them. GPT image 2.0 was the one that consistently produced the best results for architectural rendering specifically.