Flux Ultra 1.1 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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Choosing the right image model for beauty content comes down to two priorities: how convincingly it renders skin, and how reliably it follows your creative direction. In Influencer Studio, Flux Ultra 1.1 and GPT-Image 1.5 both produce high-quality beauty imagery—but they excel in different parts of the workflow.
This comparison focuses on skincare visuals, makeup looks, and beauty campaign assets—where texture realism (pores, glow, foundation finish), shade accuracy (lip and blush tones), and consistency (repeatable looks across a set) matter most.
Which Model Should You Choose?
Short answer: Flux Ultra 1.1 is better for premium photoreal detail, while GPT-Image 1.5 is better for accurate prompt adherence. If you are creating beauty & makeup, start with GPT-Image 1.5 because it costs fewer credits per output and lets you test more directions, then switch to Flux Ultra 1.1 for polished, higher-resolution final assets.
| If you need… | Choose | Why |
|---|---|---|
| Lower-cost exploration and more variants per credit | GPT-Image 1.5 | GPT-Image 1.5 costs 8 credits to start, so you can test more directions for less. |
| Polished, ready-to-ship final assets | Flux Ultra 1.1 | Flux Ultra 1.1 produces stronger final-asset polish for campaign-ready output. |
| Readable text in designs, overlays, and packaging | GPT-Image 1.5 | GPT-Image 1.5 renders labels and typography more cleanly. |
| Editing and reference-driven iteration | GPT-Image 1.5 | GPT-Image 1.5 is more flexible for editing from references or existing outputs. |
| Consistent characters and repeated campaign visuals | Either model | Either model holds character and style consistency better across outputs. |
| Beauty & Makeup specifically | Flux Ultra 1.1 | Flux Ultra 1.1 scores higher on realism, which matters most for beauty & makeup. |
How They Compare, Criterion by Criterion
| Criteria | Flux Ultra 1.1 | GPT-Image 1.5 | Winner |
|---|---|---|---|
| Realism | ●●●●● | ●●●●○ | Flux Ultra 1.1 |
| Text accuracy | ●●○○○ | ●●●●○ | GPT-Image 1.5 |
| Editing flexibility | ●●○○○ | ●●●○○ | GPT-Image 1.5 |
| Cost efficiency | ●●●○○ | ●●●○○ | Tie |
| Final polish | ●●●●● | ●●●●○ | Flux Ultra 1.1 |
| Consistency | ●●●●○ | ●●●●○ | Tie |
| Best first test | ●●●○○ | ●●●○○ | GPT-Image 1.5 |
How We Compare These Models
Models compared
Flux Ultra 1.1 vs GPT-Image 1.5
Use case
Beauty & Makeup
Flux Ultra 1.1 — best for
premium photoreal detail
GPT-Image 1.5 — best for
accurate prompt adherence
Flux Ultra 1.1 — avoid if
You need editing, text accuracy, or low-cost iteration
GPT-Image 1.5 — avoid if
You need the lowest cost or advanced editing flexibility
Credits per image (Flux Ultra 1.1)
16 credits
Credits per image (GPT-Image 1.5)
8 credits
Last updated
June 8, 2026
What the Examples Show
Realism
Flux Ultra 1.1 tends to produce more natural skin texture, lighting, and detail in these outputs.
Text accuracy
GPT-Image 1.5 renders any labels, overlays, or typography more cleanly.
Commercial usability
Flux Ultra 1.1 is closer to a ready-to-use image asset; GPT-Image 1.5 is better for concepting.
Recommended next step
Use GPT-Image 1.5 for first-pass variants, then Flux Ultra 1.1 for final polish.
Beauty & Makeup — Side-by-Side Results
Prompt
"A candid front-facing phone camera shot of a 22–28-year-old woman with shoulder-length wavy dark brown hair, wearing an oversized grey hoodie and minimal jewelry, sitting on her bed in a slightly messy bedroom vanity corner. She’s looking near the camera while tapping concealer under one eye with a damp sponge, dewy skin and soft peach blush already on, with a small lineup of skincare + makeup (tinted moisturizer, concealer, cream blush, lip oil) neatly arranged on the vanity. Natural window light mixed with a gentle ring-light glow, casual “get ready with me” vibe like an Instagram story."
Feature Comparison
| Feature | Flux Ultra 1.1 | GPT-Image 1.5 |
|---|---|---|
| Provider | Black Forest Labs | OpenAI |
| Subcategories | text-to-image | text-to-image |
| 1080p / 2k Mode | Yes | Yes |
| 4k Mode | No | No |
| NSFW Rating | Strict | Strict |
| Aspect Ratio | 1:1, 16:9, 9:16, 3:4, 4:3, 21:9 | 1:1, 16:9, 9:16, 3:4, 4:3 |
| Starting Price | 16 credits | 8 credits |
Flux Ultra 1.1 Strengths
- Exceptional photorealism for skincare close-ups (natural pores, specular highlights, dewy vs matte finish)
- Ultra-high detail suited to editorial beauty shots and premium campaign imagery
- Strong rendering of makeup textures (gloss, shimmer, metallics) with convincing light interaction
- Great for “hero” images where realism and polish are the top priority
GPT-Image 1.5 Strengths
- Strong prompt adherence for specific makeup directions (shade names, placement, finish, and styling notes)
- Versatile output across beauty formats (product + model scenes, lifestyle vanity setups, step-by-step look concepts)
- Quality options (low/medium/high) let you balance iteration speed with final-detail needs
- Reliable for generating multiple concept variations while keeping the brief intact
Verdict
Flux Ultra 1.1 is the better pick when your beauty content depends on premium, photoreal skin and makeup texture—think skincare “glass skin” close-ups, foundation finish comparisons, and high-end editorial portraits. At 16 credits per image, it’s straightforward for final selects and hero assets.
GPT-Image 1.5 is the better all-rounder for beauty teams that iterate often and need the model to follow precise makeup briefs. Its tiered pricing (8/16/32 credits) makes it practical for quick concepting on low, then switching to high for final outputs when detail and fidelity matter most.
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