GPT-Image 1.5 vs Z-Image Turbo
Versatile and licensable stock photo style — see how these models compare with real AI-generated outputs.
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Stock photography demands images that feel believable, broadly usable, and easy to license—clean compositions, natural lighting, accurate details, and minimal “weird artifacts” that can limit commercial use. On Influencer Studio, GPT-Image 1.5 and Z-Image Turbo both generate stock-style visuals, but they prioritize different strengths.
GPT-Image 1.5 focuses on high fidelity and strong prompt adherence for more polished, detailed scenes. Z-Image Turbo emphasizes speed and cost predictability, plus flexible workflows like image-to-image and LoRA support—useful when you need rapid variations or a consistent look across a set.
Stock Photography — Side-by-Side Results
Prompt
"Stock photo–style vertical smartphone image of a 20s Black woman with shoulder-length natural curls wearing a casual beige hoodie and high-waisted jeans, holding an iced coffee and glancing toward the phone camera with a relaxed half-smile like an Instagram Story. She’s seated by a window in a bright, modern café with a laptop and tote bag on the table, candid mid-sip pose, clean composition with softly blurred background patrons. Natural window light, even exposure, realistic colors, subtle handheld phone-camera feel (not cinematic, not editorial)."
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
- Stronger prompt adherence for specific stock briefs (subjects, setting, props, mood, composition)
- Higher-fidelity detail and more realistic scene rendering for premium-looking stock shots
- Better handling of complex, multi-element scenes (e.g., office teamwork, lifestyle moments, travel contexts)
- More dependable outputs when you need “client-ready” images with fewer iterations
Z-Image Turbo Strengths
- Ultra-fast generation for high-volume stock production and rapid A/B testing of concepts
- Cost-effective and predictable pricing (8 credits per image) for consistent budgeting
- Image-to-image support for refining an existing stock-style draft into variations
- LoRA support to help maintain a consistent aesthetic across a collection (e.g., brand-adjacent lookbooks)
Verdict
If your priority is premium, broadly licensable stock imagery with strong accuracy to a detailed brief, GPT-Image 1.5 is typically the better pick—especially for intricate lifestyle, business, or travel scenes where realism and coherence matter most.
If you need speed, lots of variations, and a streamlined cost per image—plus workflows like image-to-image and LoRA for style consistency—Z-Image Turbo is a strong choice for high-throughput stock creation. Many teams use Z-Image Turbo for exploration and iteration, then switch to GPT-Image 1.5 for final, highest-fidelity selects.
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