Block III · Marketing, law and creation with AI · Lesson 18

Professional images with AI

We compare Nano Banana 2.1, gpt-image-2.5, FLUX, Seedream 5, Qwen-Image and Ideogram: what each one does best, how to get readable text in the image, edit photos and use reference images.

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What you'll see in this lesson

  1. The map: which model for each job

    No model is best at everything: each one shines at something, and choosing well saves hours of redoing images.

  2. Nano Banana 2.1: Google's all-rounder

    It's the image model Google recommends by default: it generates in 1K, 2K or 4K, reasons before drawing and edits turn by turn.

  3. gpt-image-2 and OpenAI's new 2.5 family

    Since September 2026 OpenAI offers gpt-image-2.5 in two versions: Flare, the fast one, and Sunburst, the most precise at editing.

  4. FLUX, Seedream and Qwen-Image: more options

    For catalogs, for working locally or for text in other alphabets, these three complete the map.

  5. Readable text inside the image

    Today's models write short headlines well if you give them the exact text, the position and the typeface.

  6. How to write an image prompt

    Describe the image as you'd brief a photographer: shot type, subject, scene, lighting, camera and format.

  7. Editing photos and using reference images

    The most useful thing for a business isn't inventing from scratch, but starting from your real photos and changing only what's needed.

  8. Usage rights: what you must check

    Before publishing, check three things: who owns the references, whether a real person appears and what the model's license allows.

  9. Summary

    Choose the model per job, write the prompt like a brief and check rights and text before publishing.

Tools and concepts

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