Flux 2 vs GPT-Image 1.5
Product-on-model and online store imagery — see how these models compare with real AI-generated outputs.
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Flux 2 and GPT-Image 1.5 are both strong options in Influencer Studio for creating e-commerce photography, especially for product-on-model shots and clean online store imagery. The best choice depends on whether you prioritize controllable editing and brand consistency across a catalog, or fast generation with tight prompt adherence for varied concepts.
Below is a practical comparison focused on common commerce needs: consistent models across SKUs, accurate product details (colors, materials, logos), studio-style lighting, repeatable angles, and the ability to iterate quickly without breaking listing consistency.
E-commerce Photography — Side-by-Side Results
Prompt
"A 20s woman with shoulder-length wavy dark hair in a casual oversized oatmeal hoodie and biker shorts holds a minimalist insulated water bottle (matte pastel color) close to the phone camera like she’s showing it off on Instagram Stories, looking just slightly off-lens with a relaxed half-smile. Shot in a bright kitchen with a clean white counter and soft window daylight, candid “morning routine” vibe, catalog-ready exposure with the bottle clearly centered and readable. Include a natural second-angle feel (mirror reflection or quick over-the-shoulder view) so it resembles UGC content but still looks like an Amazon/Shopify product listing."
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
- Best for brand-consistent catalogs using LoRA: repeatable model look, styling, and background across many SKUs
- Versatile image-to-image editing for commerce workflows (swap backgrounds, adjust styling, refine product presentation) without restarting from scratch
- Up to 4MP output helps for sharper listing images, crops, and marketplace-ready hero shots
- Style transfer enables consistent “studio look” or seasonal campaign aesthetic across product lines
- Face-swap support can help maintain the same on-model identity across shoots (use carefully to avoid unnatural results)
GPT-Image 1.5 Strengths
- Strong prompt adherence for generating specific poses, framing, and scene requirements (e.g., “front-facing, 3/4 view, clean white seamless”)
- High-fidelity outputs that work well for detailed product-on-model lifestyle scenes and premium campaign concepts
- Flexible quality tiers (low/medium/high) to match budget and iteration speed during concepting vs final renders
- Great for producing multiple distinct creative directions quickly when you’re testing store visuals, ads, and seasonal themes
Verdict
Choose Flux 2 if your e-commerce priority is consistency and editability—especially when you need the same model identity, lighting style, and brand look across a large set of product listings. Its LoRA support and image editing workflow are well-suited to scaling a coherent catalog.
Choose GPT-Image 1.5 if you want reliable prompt-following and high-fidelity generation for varied product-on-model concepts, and you value flexible spend per image. It’s a strong pick for rapid creative testing and producing polished scenes when strict editing control isn’t the main requirement.
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