How to Use GPT Image 2: 4 Real Workflows That Actually Work

OpenAI's GPT Image 2 just changed what's possible with AI image generation. It thinks before it generates, edits photos in plain English, and finally renders text correctly. No more garbled words or misspelled labels. In this episode I test it live on real workflows: building a brand kit from scratch, fixing bad product photo lighting, removing people from backgrounds, and generating a presentation-ready infographic in one prompt. Thank you to our exclusive sponsor: PayPal Open, One Platform for All Business: http://paypalopen.com/ 🔗 Try GPT Image 2: Available now in ChatGPT Plus, Team, Enterprise, and via the API ⏱️ Timestamps: 0:00 What GPT Image 2 can do 0:29 Why it's different from diffusion models (thinking mode) 1:04 Demo 1: Brand kit for a B2B startup 1:54 Multi-turn editing: iterating on the brand 2:23 Demo 2: Fixing bad product photo lighting 3:05 Demo 3: Removing people from backgrounds 3:43 Demo 4: Infographic from a single prompt 4:23 Why text rendering is the real unlock 📌 Key Takeaways: 1. Native architecture beats bolted-on image gen for instruction following 2. Relighting old photos is the most underrated use case (no reshoots, no retouching) 3. Text rendering is finally good enough for infographics, banners, and logos #GPTImage2 #OpenAI #AIImageGeneration #AITools #ChatGPT #AI #ThisWeekInAI