GPT-Image 1.5 vs Z-Image Turbo
Skincare, makeup looks, and beauty content — see how these models compare with real AI-generated outputs.
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Creating standout Beauty & Makeup content means getting the details right: believable skin texture, accurate undertones, clean eyeliner symmetry, and on-trend looks that match your exact prompt. On Influencer Studio, GPT-Image 1.5 and Z-Image Turbo both generate beauty visuals from text prompts, but they’re optimized for different production styles.
Below is a practical comparison focused on skincare, makeup looks, and beauty content—covering realism, prompt adherence, creative control, iteration speed, and how credit costs typically play out for everyday creator workflows.
Beauty & Makeup — Side-by-Side Results
Prompt
"Early-20s woman with shoulder-length wavy dark hair in a cozy oversized hoodie and gold hoops, sitting at a small bedroom vanity and looking just past the phone camera while tapping concealer under one eye with a damp sponge. Soft ring-light glow mixed with morning window light, dewy skin close-up, casual cluttered vanity with a tinted moisturizer, blush stick, and lip gloss arranged neatly beside a half-open makeup bag. Candid “get ready with me” vibe, slight smile, handheld phone-camera framing like an Instagram story."
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 beauty renders with strong skin detail (pores, glow, soft texture) and polished lighting for close-up shots
- Stronger prompt adherence for precise makeup direction (lip finish, eyeliner shape, blush placement, brow style, color palette)
- Handles detailed scenes well (vanity setups, product-in-hand shots, multi-step routine frames) without losing coherence
- More versatile output quality tiers for different needs—from quick drafts to premium hero images
Z-Image Turbo Strengths
- Ultra-fast generation for rapid testing of makeup concepts, shade variations, and thumbnail iterations
- Cost-effective per-image pricing that’s predictable for high-volume content creation
- Image-to-image support for refining an existing face/look (adjusting glam level, lighting mood, or color story while keeping the base)
- LoRA support for style consistency—useful for maintaining a recognizable look across a series (e.g., signature glam, editorial skin, or brand aesthetic)
Verdict
Choose GPT-Image 1.5 when your beauty content depends on premium realism and precise direction—think close-up complexion shots, editorial makeup looks, and product hero images where texture, undertone, and finish must read as intentional.
Choose Z-Image Turbo when speed, volume, and repeatable styling matter most—ideal for testing many look variations quickly, iterating from a reference image, or keeping a consistent series aesthetic with LoRA while staying on a predictable per-image cost.
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