Flux 2 vs GPT-Image 1.5
Product-only shots, flat lays, and unboxing — see how these models compare with real AI-generated outputs.
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For product photography, the “best” image model is the one that keeps the product accurate while giving you repeatable lighting, angles, and backgrounds. In Influencer Studio, Flux 2 and GPT-Image 1.5 both handle product-only shots, flat lays, and unboxing visuals—but they differ in how much control you get versus how quickly you can reach a clean, on-brief result.
This comparison focuses on real e-commerce needs: consistent packs across a catalog, editable scenes when a label or prop changes, and high-fidelity outputs that preserve logos, materials, and small details. We’ll also factor in credit costs at common quality tiers.
Product Photography — Side-by-Side Results
Prompt
"A 20s woman with shoulder-length wavy brown hair in a comfy oversized hoodie and leggings holds a sleek skincare serum bottle up near her face, glancing toward the phone camera with a casual half-smile like she’s filming an Instagram story in her small kitchen. The product is isolated on a clean white background within the frame (floating/centered), with dramatic studio lighting, crisp hard-edged shadows, and a high-end commercial “new launch” feel while she remains slightly behind it in a natural, candid pose. Bright natural window light spills in from the side, with subtle handheld phone-camera framing and everyday countertop clutter softly blurred in the background."
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
- Stronger iterative workflow for product shoots thanks to image-to-image editing (swap backgrounds, adjust composition, refine lighting without restarting)
- LoRA support for brand consistency across a catalog (repeatable packaging style, color palette, and “house lighting” look)
- Up to 4MP output for sharper crops on labels, textures, and small components in product-only and flat-lay frames
- Style transfer tools that help match a reference look (e.g., clean studio white, soft daylight, premium glossy hero shot)
- Face-swap support can help when unboxing includes a creator but needs continuity—while still keeping the product as the focal point
GPT-Image 1.5 Strengths
- Strong prompt adherence for fast, on-spec product-only compositions (clear angles, backgrounds, and prop lists when described precisely)
- High-fidelity generation that can produce convincing materials and reflections for hero shots (glass, metal, glossy packaging)
- Flexible quality tiers (low/medium/high) that make it easy to balance cost vs. detail for thumbnails vs. PDP hero images
- Efficient for concepting multiple flat-lay layouts quickly from text prompts (seasonal sets, bundles, colorway variations)
Verdict
Choose Flux 2 if your product photography workflow depends on editing and consistency—especially when you need to iterate on the same base image (change background color, adjust framing, update a label) or maintain a repeatable brand look across many SKUs. The 4MP ceiling and LoRA support are particularly useful for catalog-style output and detail-sensitive packaging.
Choose GPT-Image 1.5 if you prioritize quick, prompt-faithful product renders and want a simple way to scale quality up or down by credit tier. It’s a strong option for rapid flat-lay ideation and clean product-only shots when you can describe the setup precisely and don’t need heavy post-generation editing.
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