“I want to personalize creatives at scale”
Thousands of variants per campaign, generated by automation rather than by hand: per-segment backgrounds, per-market scenes, per-recipient artwork. What matters: obedience to structured, machine-generated prompts, and unit cost that survives multiplication.
Recommended models
| Use-case score | Criteria covered | $ / image | |
|---|---|---|---|
| 1. Nano Banana 2 Lite Best fit | 4.26 / 5 | 100% | $0.020 |
| 2. FLUX.2 | 4.10 / 5 | 100% | $0.013 |
| 3. FLUX.2 [dev] Turbo | 4.05 / 5 | 100% | $0.015 |
| 4. Gemini 2.5 Flash Image | 3.97 / 5 | 100% | $0.039 |
| 5. Seedream 4.5 | 3.91 / 5 | 100% | $0.048 |
| 6. Seedream 5.0 Lite | 3.88 / 5 | 100% | $0.020 |
| 7. FLUX.2 [pro] | 3.86 / 5 | 100% | $0.040 |
| 8. Qwen-Image | 3.75 / 5 | 100% | $0.030 |
| 9. Nano Banana 2 | 3.73 / 5 | 100% | $0.100 |
| 10. GPT Image 1.5 | 3.58 / 5 | 100% | $0.120 |
| 11. Luma Photon | 3.53 / 5 | 100% | $0.019 |
| 12. Recraft V3 | 3.38 / 5 | 100% | $0.040 |
| 13. Ideogram 3.0 | 3.34 / 5 | 100% | $0.060 |
| 14. Nano Banana Pro | 2.98 / 5 | 100% | $0.360 |
| 15. Stable Diffusion 1.5 | 2.98 / 5 | 100% | $0.010 |
How this is weighted
Automation has no human retry loop, so prompt adherence leads: every variant that ignores its data-driven brief is a silent defect in someone's mailbox. Cost and latency follow because the same job runs thousands of times per campaign; per-image quality criteria stay light because variants share one reviewed template and inherit its typography and colors.
- Prompt Adherence 30%
- Cost 25%
- Latency 15%
- Text Accuracy 10%
- Composition 10%
- Color Accuracy 5%
- Resolution 5%
The evidence: Nano Banana 2 Lite
Nano Banana 2 Lite takes the top spot where this job puts its weight: prompt adherence at 4.7 / 5 (30% of the matrix), cost at 4.0 / 5 (25% of the matrix) and latency at 3.9 / 5 (15% of the matrix).
Get the Print Production Report
Which models survive print production? Brand-color accuracy, real resolution and DPI, transparency and CMYK-readiness, measured across every model and packaged as a PDF for print buyers.
Check your inbox.
Your report is on the way.
The last mile: what no model delivers
Our structured-spec benchmark shows the strongest models follow machine-generated prompts remarkably well, and the budget tier makes per-variant cost viable. What generation cannot do is guarantee the deterministic parts of a variant: the recipient's name spelled correctly, the legal line, the logo placement, the brand hex. Automation pipelines that ship put those elements on the canvas as template layers and let the model supply only the interchangeable visual underneath.
Generate with any model. Finish in the AI Editor.
Give your users the control they need to be productive with generative AI. The IMG.LY AI Editor turns personalization at scale generations into finished, on-spec assets: background removal, brand kits and editable text on a real canvas.
