Product image model comparison

Best AI Model for Product Photography

There is no single best model for every product image. The right choice depends on whether the job is a quick background variation, a reference-faithful packshot, a polished campaign scene, or a detailed layout brief.

Wide campaign scene representing Nano Banana 2
GoogleNano Banana 2
Polished commercial portrait representing Seedream 5 Pro
ByteDanceSeedream 5 Pro
Premium campaign composition representing Nano Banana Pro
GoogleNano Banana Pro
Detailed concept image representing GPT Image 2
OpenAIGPT Image 2
Short answer

Use Nano Banana 2 as the balanced starting point, Seedream 5 Pro for cost-aware polished stills, Nano Banana Pro for premium campaign work, and GPT Image 2 when the brief or reference set is unusually detailed.

Current tuziyo controls

Compare the practical differences

The table reflects controls and starting credits currently exposed in tuziyo, not every feature available through a provider API.

CapabilityNano Banana 2Seedream 5 ProNano Banana ProGPT Image 2
Starting credits4385
Maximum resolution4K2K4K4K
Reference images14101416
Best product taskVariations and formatsPolished commercial stillCampaign key visualDetailed layout brief
Useful distinctionSearch and reasoning controlsLower-cost 1K–2K pathPremium production focusUp to five results per run
Decision guide

Choose for the job, not the leaderboard

Nano Banana 2

Best balanced starting point

Nano Banana 2 covers many ratios, accepts fourteen references, and lets a team explore cheaply before increasing resolution.

Seedream 5 Pro

Best cost-aware still

Seedream 5 Pro starts lower and is well suited to composed product scenes that only need 1K or 2K delivery.

Nano Banana Pro

Best premium campaign pass

Nano Banana Pro makes sense once product geometry and art direction are settled and the final asset deserves more budget.

GPT Image 2

Best for a complex brief

GPT Image 2 supports the largest reference set in this comparison and several results from one structured setup.

Fair test method

How to compare AI image models

  1. 01

    Protect product identity

    Use a clean product reference and explicitly preserve geometry, material, color, label spelling, cap, controls, and logos.

  2. 02

    Separate scene from product

    Describe what may change—background, surface, lighting, props—and what must remain fixed.

  3. 03

    Test label accuracy

    Zoom into packaging text and logos. A beautiful image is unusable when a product name or regulatory line changes.

  4. 04

    Judge production efficiency

    Track reruns, cleanup time, resolution, and credit cost alongside visual quality.

Scenario by scenario

What should you use?

Marketplace background variations

Nano Banana 2

A practical balance of references, formats, and starting cost.

Social product stills

Seedream 5 Pro

A focused 1K–2K workflow can cover common portrait and square placements.

Luxury launch campaign

Nano Banana Pro

Use it for the selected direction when premium finish and consistency matter.

Detailed packaging layout

GPT Image 2

Long prompts and extensive visual context suit a constraint-heavy brief.

Frequently asked

Questions about this comparison

01

Which AI model is best for product photography?

Nano Banana 2 is the best general starting point in tuziyo. Seedream 5 Pro, Nano Banana Pro, and GPT Image 2 become better choices when cost, premium finish, or brief complexity dominates.

02

Can AI preserve my real product exactly?

A reference image and explicit invariants improve consistency, but every result still needs inspection. Treat generated images as candidates, especially when packaging, logos, or regulated text must be exact.

03

Should I generate product images at 4K immediately?

Usually no. Establish the composition at 1K or 2K, then spend on 4K only after the product and scene are correct.

SAME BRIEF, DIFFERENT MODELS

Run your own comparison.

Keep the prompt and references together, switch models, and judge the outputs against the same constraints.

Open AI Toolkit