Flux Ultra 1.1 vs GPT-Image 1.5
Film grain, retro aesthetic, and nostalgic filters — see how these models compare with real AI-generated outputs.
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Vintage & retro visuals live or die by subtlety: believable film grain, era-appropriate color response, gentle halation, and the kind of “imperfect” texture that feels authentic rather than applied. In Influencer Studio, Flux Ultra 1.1 and GPT-Image 1.5 both generate high-quality retro imagery, but they approach the look differently.
Below is a focused comparison on how each model handles nostalgic filters, film stock vibes, and retro styling—plus how their credit pricing can shape your workflow when you’re iterating on a specific decade aesthetic.
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 vintage & retro, 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. |
| Vintage & Retro specifically | Flux Ultra 1.1 | Flux Ultra 1.1 scores higher on realism, which matters most for vintage & retro. |
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
Vintage & Retro
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.
Vintage & Retro — Side-by-Side Results
Prompt
"A 20s woman with shoulder-length wavy dark hair in a faded band tee and high-waisted light-wash jeans holds her phone slightly above eye level for a casual mirror selfie, looking near the camera with a half-smile like she just hit “record.” She’s in a small sunlit bedroom with a messy bed, thrifted posters, and a cluttered vanity, warm natural window light with soft shadows. Vintage 90s disposable-camera look: film grain, slightly faded colors, subtle light leak on one corner, timestamp-style vibe."
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 micro-detail that helps retro scenes feel tangible (fabric weave, signage wear, analog texture)
- Photorealistic lighting and materials that pair well with subtle film grain and light leaks for an authentic “shot on film” look
- Premium-quality output that holds up in close crops—useful for poster-style retro compositions and product hero images
- Consistent realism for vintage portraits (skin texture, hair detail) when aiming for a true film-photo vibe
GPT-Image 1.5 Strengths
- Strong prompt adherence for specific eras and styling cues (e.g., “1970s Kodachrome street photo,” “’90s disposable camera flash”)
- Versatile output across multiple retro directions—editorial, street photography, postcard travel, archival documentation
- Flexible quality tiers (8/16/32 credits) that support fast exploration before committing to high-fidelity finals
- Detailed multi-subject scenes with clearer control over composition notes tied to nostalgic props, wardrobe, and set dressing
Verdict
Flux Ultra 1.1 is the better pick when your vintage concept depends on premium realism and fine texture—think convincing film-grain overlays, authentic material detail, and “this could be a scanned negative” credibility. At 16 credits per image, it’s straightforward for final-quality retro hero shots.
GPT-Image 1.5 is the better choice when you need tighter adherence to era-specific instructions and want pricing flexibility while you iterate. Start at low cost to explore multiple nostalgic directions, then move up in quality tiers when you’ve locked the decade, palette, and film-stock vibe.
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