GPT-Image 1.5 vs Z-Image Turbo
Product-only shots, flat lays, and unboxing — see how these models compare with real AI-generated outputs.
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For product photography on Influencer Studio, the difference between “usable” and “sellable” often comes down to clean geometry, accurate materials, consistent branding, and tight control over backgrounds and props. GPT-Image 1.5 and Z-Image Turbo both generate product visuals from text, but they prioritize different outcomes.
GPT-Image 1.5 leans into higher-fidelity, detail-rich renders with strong prompt adherence—useful when you need premium hero shots or precise staging. Z-Image Turbo is built for speed and cost efficiency, adding image-to-image and LoRA support for rapid variations and brand-style consistency across multiple SKUs.
Product Photography — Side-by-Side Results
Prompt
"A 20s woman with shoulder-length wavy brown hair in a cozy beige hoodie and black leggings holds a sleek skincare serum bottle close to the phone camera, looking slightly past the lens with a natural half-smile like a TikTok “morning routine” clip. Clean product-photography setup: the serum bottle is isolated on a pure white seamless background with dramatic studio lighting, crisp defined shadow, high-end commercial sharpness, while she’s softly visible behind it in a casual bedroom setting with natural window light spill. Shot on a smartphone feel, candid and unpolished pose, but the product remains perfectly lit and hyper-detailed."
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 suit hero product shots (clean highlights, sharper edges, richer materials)
- Strong prompt adherence for precise product-only compositions and controlled backgrounds
- Handles detailed scenes well when you need staged unboxing layouts or accessory arrangements
- Flexible quality tiers (8/16/32 credits) to balance draft vs final imagery
Z-Image Turbo Strengths
- Ultra-fast generation for high-volume SKU exploration, A/B testing, and rapid iteration
- Cost-effective per-image pricing (8 credits) that’s predictable for batch workflows
- Image-to-image support for refining an existing product shot, keeping composition stable while changing styling
- LoRA support to maintain consistent brand aesthetics (colors, packaging style, lighting vibe) across sets
Verdict
If you’re producing premium product-only hero images, polished flat lays, or unboxing scenes where realism, surface detail, and strict prompt control matter most, GPT-Image 1.5 is typically the better pick—especially at higher quality settings.
If your priority is speed, predictable cost per image, and repeatable style across many products (or you want to iterate from a reference using image-to-image), Z-Image Turbo is the more efficient choice. Many teams use Z-Image Turbo for fast drafts and variation batches, then switch to GPT-Image 1.5 for final, high-fidelity selects.
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