GPT-Image 1.5 vs Z-Image Turbo
Product-on-model and online store imagery — see how these models compare with real AI-generated outputs.
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Choosing the right image model for e-commerce photography comes down to one thing: reliable, sale-ready visuals. For product-on-model shots and online store imagery, you need accurate product details, consistent styling across a collection, and enough control to match your brand’s look without endless re-rolls.
This comparison looks at how GPT-Image 1.5 and Z-Image Turbo perform inside Influencer Studio for common commerce workflows—model-worn apparel, accessories, beauty, flat-lay alternatives, and clean catalog scenes—balancing fidelity, prompt control, iteration speed, and credits.
E-commerce Photography — Side-by-Side Results
Prompt
"A candid phone-camera shot of a 20s woman with shoulder-length wavy brown hair wearing a cozy cream hoodie and black leggings, holding a minimalist stainless-steel insulated water bottle (logo facing camera) while glancing near the lens with a relaxed half-smile. Shot in a bright kitchen with a clean white countertop and soft window daylight, casual “morning routine” vibe like an Instagram story, catalog-ready lighting with a subtle white/lifestyle background feel. Include a few product-listing style variations in the same frame feel: one front-facing hold, one angled 3/4 pose, and one close-up of the bottle in her hand, all still natural and unposed."
Feature Comparison
| Feature | GPT-Image 1.5 | Z-Image Turbo |
|---|---|---|
| Provider | OpenAI | Tongyi Lab (Alibaba) |
| Subcategories | text-to-image | text-to-image, image-to-image |
| 1080p / 2k Mode | Yes | Yes |
| 4k Mode | No | No |
| NSFW Rating | Strict | Low |
| Aspect Ratio | 1:1, 16:9, 9:16, 3:4, 4:3 | 1:1, 16:9, 9:16, 3:4, 4:3 |
| Starting Price | 8 credits | 8 credits |
GPT-Image 1.5 Strengths
- High-fidelity outputs that better preserve product details (materials, seams, textures) for premium catalog and hero images
- Strong prompt adherence for precise styling requests (backgrounds, poses, camera angles, lighting setups)
- Handles detailed scenes well—useful for lifestyle product-on-model shots with props and contextual environments
- Flexible quality tiers (8/16/32 credits) to match draft vs hero-image needs without changing tools
Z-Image Turbo Strengths
- Ultra-fast generation for rapid iteration on product-on-model concepts, angles, and styling variations
- Cost-effective and predictable pricing (8 credits per image) for high-volume listing workflows
- Image-to-image support for refining existing shots (e.g., background changes, lighting tweaks, composition adjustments)
- LoRA support to help align outputs to a specific brand style, product category look, or recurring model aesthetic
Verdict
Pick GPT-Image 1.5 when your store needs higher-end, detail-forward imagery—especially for hero shots, close-ups, and product-on-model visuals where fabric realism and prompt accuracy directly affect buyer confidence. Its quality scaling is also useful when you want to draft cheaply and then re-render a final at higher fidelity.
Pick Z-Image Turbo when speed and throughput matter most—like generating many SKU variations, testing backgrounds, or producing consistent listing images at a fixed cost. With image-to-image and LoRA support, it can be a strong production workhorse for standardized catalog pipelines.
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