GPT-Image 1.5 vs Reve
Top-down arranged compositions and aesthetic product flat lays — see how these models compare with real AI-generated outputs.
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Flat lay content lives and dies by composition: clean top-down camera angle, intentional spacing, consistent shadows, and styling that feels curated rather than cluttered. In Influencer Studio, both GPT-Image 1.5 and Reve can generate compelling flat lays, but they tend to excel in different parts of the workflow.
This comparison focuses on how each model handles top-down arranged compositions—product flat lays, desk setups, beauty and fashion spreads, food plating from above, and branded layouts with readable packaging or labels—plus how their credit pricing fits common iteration patterns.
Flat Lay — Side-by-Side Results
Prompt
"Top-down overhead flat lay on a tidy white duvet in a sunlit bedroom: a cozy morning setup with a 20s woman (wavy brown hair slightly messy, oversized gray hoodie and bike shorts) leaning into the frame from the edge, looking up toward the phone camera with a relaxed, just-woke-up expression. Arrange a matcha latte, open journal with handwritten notes, phone with Instagram story draft on screen, lip balm, scrunchie, gold hoops, and a small skincare tube in a balanced layout on clean bedding. Soft natural window light, casual candid vibe like an everyday “morning routine” story."
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 precise flat lay layouts (object counts, placement, spacing, and prop lists)
- High-fidelity detail for product textures and materials (fabric weave, cosmetic packaging, paper grain, reflections)
- Reliable control over complex scenes, making it easier to build multi-item flat lays without losing the top-down feel
- Flexible quality tiers (8/16/32 credits) to match quick drafts vs final, high-detail hero images
Reve Strengths
- Strong aesthetic quality for editorial-style flat lays with cohesive color palettes and styling
- Accurate text rendering for labels, packaging, and simple typographic elements in top-down compositions
- Creative, design-forward outputs that often look “art-directed” with minimal prompting
- Simple pricing per image (8 credits) that’s easy to budget for consistent flat lay production
Verdict
If your flat lays require strict composition control—specific item placement, exact prop lists, or highly detailed product realism—GPT-Image 1.5 is typically the better fit, especially when you can step up to higher quality tiers for final deliverables.
If your priority is an instantly polished, editorial look and you frequently need readable packaging or on-image text elements in a top-down scene, Reve is a strong choice. For many creators, the best workflow is drafting concepts with the model that matches your goal (precision vs style) and iterating until the layout and branding feel ready to publish.
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