Flux 2 vs GPT-Image 1.5
Skincare, makeup looks, and beauty content — see how these models compare with real AI-generated outputs.
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Creating standout beauty content often comes down to two things: how accurately a model renders skin, texture, and cosmetics—and how quickly you can iterate on looks without breaking facial identity. Flux 2 and GPT-Image 1.5 are both strong options in Influencer Studio for skincare visuals, makeup lookbooks, and beauty campaign creatives.
This comparison focuses on beauty-specific needs like natural skin detail, accurate shade/finish (matte vs dewy), consistent faces across variations, and practical workflows for retouching, style changes, and on-brand outputs.
Beauty & Makeup — Side-by-Side Results
Prompt
"A candid phone-camera selfie of a woman in her mid-20s with shoulder-length dark brown hair in a loose claw clip, wearing an oversized gray hoodie, sitting on her bed in a slightly messy bedroom while applying cream blush with her fingertips and glancing toward the front camera. Soft ring-light glow mixed with morning window light, dewy skin and minimal “clean girl” makeup, with a small lineup of skincare and lip glosses neatly arranged on the nightstand beside her. Casual, approachable TikTok “get ready with me” vibe, imperfect framing and natural expression like an Instagram story."
Feature Comparison
| Feature | Flux 2 | GPT-Image 1.5 |
|---|---|---|
| Provider | Black Forest Labs | OpenAI |
| Subcategories | text-to-image, image-to-image | text-to-image |
| 1080p / 2k Mode | Yes | Yes |
| 4k Mode | Yes | No |
| NSFW Rating | Low | Strict |
| Aspect Ratio | 1:1, 16:9, 9:16, 3:4, 4:3 | 1:1, 16:9, 9:16, 3:4, 4:3 |
| Model Variant | Standard, Klein 9B | — |
| Starting Price | 22 credits | 8 credits |
Flux 2 Strengths
- Beauty-friendly editing workflows (image-to-image, style transfer) for quick makeup and skincare iterations
- LoRA support for training or adapting to a brand’s signature aesthetic (e.g., consistent glam style, editorial lighting, product-first compositions)
- Up to 4MP output for sharper lookbook crops, product close-ups, and social-to-web repurposing
- Face-swap support for maintaining a consistent creator/ambassador identity across multiple looks
GPT-Image 1.5 Strengths
- Strong prompt adherence for precise beauty directions (shade names, finishes, lighting notes, camera framing)
- High-fidelity rendering suited to clean skincare ads and detailed makeup (lashes, liner edges, lip texture, brow hairs)
- Reliable for complex scene prompts when beauty content needs context (bathroom vanity setups, studio shoots, campaign-style compositions)
- Flexible quality tiers (low/medium/high) to balance speed, cost, and final-detail needs
Verdict
Choose Flux 2 if your beauty workflow depends on editing and consistency—swapping looks on the same face, transferring styles, or building a repeatable brand aesthetic via LoRA. It’s particularly useful for turning one strong base portrait into a full set of makeup variations (day-to-night, seasonal palettes, “before/after” concepts) while keeping identity stable.
Choose GPT-Image 1.5 if you prioritize prompt precision and high-fidelity outputs from scratch—especially when you need the model to follow detailed makeup directions closely and deliver polished, campaign-ready renders with minimal back-and-forth.
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