Comparisons
Nano Banana 2.1 vs Nano Banana Pro: 6 Prompts, Side by Side
Nano Banana 2.1 vs Nano Banana Pro on the same six prompts: text, infographics, menus, product shots and tricky scenes, with Nano Banana 2 and GPT Image 2.5.
10 min read
Guides, model comparisons and hands-on workflows for AI image generation — from writing prompts that hold up across a whole batch to picking the right model for the job.
Nano Banana 2.1 vs Nano Banana Pro on the same six prompts: text, infographics, menus, product shots and tricky scenes, with Nano Banana 2 and GPT Image 2.5.
One old photo restoration prompt, five AI models, the same two damaged photos: Nano Banana, GPT Image and Seedream compared on faces, framing and color.
Want to generate multiple images from one prompt that actually differ? Why "make 6 different images" fails, and how to turn one idea into one prompt per image.
Make consistent character AI images across every scene: one reference image, one lock sentence, a numbered scene list, and two-character shots that hold up.
Create on-brand product photos for every new SKU: turn your brand style into a reusable shot list, then re-run it on each new product with the same settings.
Make product photos with consistent backgrounds for a whole catalog: three methods, from a shared scene spec to one background plate, with the exact settings.
Generate images from a list of prompts in one batch: one prompt per line, check the image count and credits first, then download every image as one ZIP.
ChatGPT vs Gemini image generation compared for real workloads, plus Codex and BulkImagen: limits, downloads, models, and what to use for images in bulk.
How to generate images in bulk in 2026: chat apps, Midjourney, Canva, Firefly, Ideogram, OpenArt, Batch APIs and BulkImagen compared, plus first-batch tips.
Create bulk product photos with AI from the photos you already have: one reference per product, four scenes each, the whole catalog in one batch and one ZIP.
Write one prompt per line or upload a CSV, pick a model, and BulkImagen renders the whole set in parallel. New accounts get free credits to try it.