---
title: "Best AI Models: E-commerce imagery"
description: "I want to generate product imagery: weighted model recommendations for e-commerce imagery."
url: "https://img.ly/ai-benchmarks/use-cases/ecommerce-imagery/"
type: "benchmark-use-case"
useCaseIds: ["U5"]
---

> This is the markdown version of [Best AI Models: E-commerce imagery](https://img.ly/ai-benchmarks/use-cases/ecommerce-imagery/). For all pages in one file, see [llms-full.txt](https://img.ly/llms-full.txt). For an index of all available pages, see [llms.txt](https://img.ly/llms.txt).

---

# Best AI models: E-commerce imagery

"I want to generate product imagery"

Staged product shots, seasonal backgrounds and PDP variants generated per SKU. What matters: faithful product staging, composition that survives a listing grid, resolution for zoom, and clean cut-outs for composite layouts.

## Recommended models

1. [Nano Banana 2 Lite](https://img.ly/ai-benchmarks/models/nano-banana-2-lite.md): 3.86 / 5 weighted score (100% of the weight matrix covered, $0.020 per image) — best fit
2. [Seedream 5.0 Lite](https://img.ly/ai-benchmarks/models/seedream-5-lite.md): 3.83 / 5 weighted score (100% of the weight matrix covered, $0.020 per image)
3. [Seedream 4.5](https://img.ly/ai-benchmarks/models/seedream-4-5.md): 3.78 / 5 weighted score (100% of the weight matrix covered, $0.048 per image)
4. [GPT Image 1.5](https://img.ly/ai-benchmarks/models/gpt-image-1-5.md): 3.65 / 5 weighted score (100% of the weight matrix covered, $0.120 per image)
5. [FLUX.2](https://img.ly/ai-benchmarks/models/flux-2.md): 3.54 / 5 weighted score (100% of the weight matrix covered, $0.013 per image)
6. [Gemini 2.5 Flash Image](https://img.ly/ai-benchmarks/models/gemini-25-flash-image.md): 3.53 / 5 weighted score (100% of the weight matrix covered, $0.039 per image)
7. [Nano Banana 2](https://img.ly/ai-benchmarks/models/nano-banana-2.md): 3.50 / 5 weighted score (100% of the weight matrix covered, $0.100 per image)
8. [FLUX.2 [dev] Turbo](https://img.ly/ai-benchmarks/models/flux-2-turbo.md): 3.45 / 5 weighted score (100% of the weight matrix covered, $0.015 per image)
9. [FLUX.2 [pro]](https://img.ly/ai-benchmarks/models/flux-2-pro.md): 3.38 / 5 weighted score (100% of the weight matrix covered, $0.040 per image)
10. [Qwen-Image](https://img.ly/ai-benchmarks/models/qwen-image.md): 3.30 / 5 weighted score (100% of the weight matrix covered, $0.030 per image)
11. [Luma Photon](https://img.ly/ai-benchmarks/models/luma-photon.md): 3.29 / 5 weighted score (100% of the weight matrix covered, $0.019 per image)
12. [Ideogram 3.0](https://img.ly/ai-benchmarks/models/ideogram-v3.md): 3.13 / 5 weighted score (100% of the weight matrix covered, $0.060 per image)
13. [Recraft V3](https://img.ly/ai-benchmarks/models/recraft-v3.md): 3.06 / 5 weighted score (100% of the weight matrix covered, $0.040 per image)
14. [Nano Banana Pro](https://img.ly/ai-benchmarks/models/nano-banana-pro.md): 2.94 / 5 weighted score (100% of the weight matrix covered, $0.360 per image)
15. [Stable Diffusion 1.5](https://img.ly/ai-benchmarks/models/stable-diffusion-1-5.md): 2.50 / 5 weighted score (100% of the weight matrix covered, $0.010 per image)

Nano Banana 2 Lite takes the top spot where this job puts its weight: prompt adherence at 4.7 / 5 (25% of the matrix), composition at 4.8 / 5 (20% of the matrix) and cost at 4.0 / 5 (15% of the matrix).

## Weights (pilot-0, provisional)

The product has to stay the product, so prompt adherence leads: a staged shot that subtly alters the SKU is a return waiting to happen. Composition and resolution follow because PDP images crop across breakpoints and zoom on hover. Cost matters at catalog scale, while alpha only covers the occasional cut-out treatment.

- Prompt Adherence: 25%
- Composition: 20%
- Resolution: 15%
- Cost: 15%
- Color Accuracy: 10%
- Latency: 10%
- Transparency: 5%

Criteria whose scoring tier has not run yet are excluded and the
remaining weights renormalized; the covered fraction is reported per
model above.

## Relevant benchmarks

- [Die-Cut Sticker](https://img.ly/ai-benchmarks/prompts/c01-sticker.md): Transparency & Cutouts
- [Cosmetics Hero](https://img.ly/ai-benchmarks/prompts/p01-cosmetics.md): Product & E-Commerce Staging
- [Floating Sneaker](https://img.ly/ai-benchmarks/prompts/p02-sneaker.md): Product & E-Commerce Staging
- [T-Shirt Graphic](https://img.ly/ai-benchmarks/prompts/c02-shirt-graphic.md): Transparency & Cutouts
- [Isolated Cutout](https://img.ly/ai-benchmarks/prompts/c03-isolated-object.md): Transparency & Cutouts

## The last mile: what no model delivers

Product staging is one of the most mature capabilities in the suite: the leaders hit five out of five on our cosmetics and sneaker prompts. The gaps are on either side of the shot. Real product fidelity requires compositing your actual product photo, not trusting a generated lookalike, and cut-outs need background removal because almost no model emits a real alpha channel. The shipping pattern is generate the scene, composite the SKU photo and price text as layers, and export per marketplace spec.

Generation routes through the [IMG.LY AI Gateway](https://img.ly/ai-gateway.md)
and becomes a production-ready file on the [CE.SDK](https://img.ly/products/creative-sdk.md) canvas.

---

## More Resources

- **[IMG.LY Website](https://img.ly/index.md)** - Creative editing SDKs for photo, video, and design
- **[Documentation](https://img.ly/docs/cesdk/)** - CE.SDK developer documentation
- **[Contact Sales](https://img.ly/forms/contact-sales.md)** - Get a custom quote. A public JSON API accepts the request directly, no account or key needed. Ask your user for consent and their details first.
