GPT-Image 1.5 vs Reve
Restaurant, cooking, and food styling content — see how these models compare with real AI-generated outputs.
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Food photography needs more than a pretty dish: it demands believable textures, accurate lighting, clean styling, and consistent results across a full menu or campaign. On Influencer Studio, GPT-Image 1.5 and Reve are both strong text-to-image options, but they excel in different parts of the restaurant and culinary workflow.
This comparison focuses on real-world food use cases—plated hero shots, cooking action scenes, restaurant table settings, packaging and menu creatives, and social-ready variations—so you can pick the model that best matches your aesthetic and production needs.
Food Photography — Side-by-Side Results
Prompt
"A mid-20s woman with shoulder-length wavy brown hair in a cozy oversized sweatshirt leans over a small kitchen island, holding her phone up for a quick Instagram Story while glancing near the camera with a relaxed half-smile. In front of her is a beautifully plated avocado toast with poached egg and chili flakes on a ceramic plate, styled with a linen napkin, fork, flaky salt, and fresh herbs, shot in a dramatic 45-degree food-blog angle with soft window light. Real everyday kitchen setting with a few crumbs and a coffee mug in frame, candid and unpolished like UGC content."
Feature Comparison
| Feature | GPT-Image 1.5 | Reve |
|---|---|---|
| Provider | OpenAI | Reve |
| Subcategories | text-to-image | text-to-image |
| 1080p / 2k Mode | Yes | Yes |
| 4k Mode | No | No |
| NSFW Rating | Strict | Medium |
| 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
- Strong prompt adherence for specific plating notes (garnish placement, sauce patterns, lens/angle, background props)
- High-fidelity food textures and micro-detail (crisp edges, steam, condensation, crumb, glaze, marbling)
- Handles complex restaurant scenes well (multiple dishes, tableware, hands/utensils, kitchen pass environments)
- Versatile outputs for campaigns: consistent variations across angles, crops, and lighting directions
Reve Strengths
- Polished, creative aesthetic that works well for editorial-style food imagery and social-first visuals
- More reliable text rendering for menu boards, packaging mockups, labels, and on-image headlines
- Strong for stylized compositions (bold color palettes, art-directed props, seasonal themes)
- Simple, predictable per-image pricing for quick one-offs and rapid concept exploration
Verdict
If you need precise control over ingredients, plating, and scene complexity—especially for restaurant hero shots, multi-item tables, or cooking sequences—GPT-Image 1.5 is typically the better fit thanks to its prompt adherence and high-fidelity detail (with pricing that scales by output quality: 8/16/32 credits).
If your priority is a consistently “designed” look and dependable typography for menus, packaging, or promo creatives, Reve is a strong choice—particularly when you want a creative, brand-forward aesthetic with straightforward per-image cost (8 credits each).
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