Flux 2 vs GPT-Image 1.5
Business-appropriate professional portraits — see how these models compare with real AI-generated outputs.
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For a LinkedIn Professional Photo, the goal is simple: a credible, business-appropriate portrait with natural skin texture, clean lighting, realistic proportions, and a background that won’t distract. Both Flux 2 and GPT-Image 1.5 can generate polished headshots, but they shine in different parts of the workflow.
Flux 2 leans into controllability—especially if you want to iterate from an existing photo, keep a consistent identity across variations, or apply a specific “studio look” via LoRA/style transfer. GPT-Image 1.5 emphasizes prompt adherence and high-fidelity rendering, making it strong for generating a professional portrait from a clear written brief.
LinkedIn Professional Photo — Side-by-Side Results
Prompt
"A candid smartphone front-camera photo of a 28–35-year-old professional influencer with shoulder-length dark brown hair in a neat blowout, wearing a tailored navy blazer over a simple white crew-neck tee, minimal jewelry, and natural makeup, giving an approachable confident smile while looking slightly above the lens. They’re standing near a large office window with a clean neutral coworking background (desk, laptop, soft plants), one hand holding a coffee cup and the other casually adjusting their blazer like an everyday “heading into a meeting” story. Bright natural window light, realistic skin texture, subtle shadows, authentic LinkedIn-ready vibe (professional but not overly posed)."
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 iterative LinkedIn headshot upgrades using image-to-image edits (pose, crop, background, wardrobe tweaks)
- LoRA support enables consistent, repeatable “corporate studio” styling across a team or brand
- Up to 4MP output helps preserve sharp facial detail for profile crops and banners
- Style transfer is useful for aligning lighting and tone to a company’s visual standard
- Face-swap support can help keep identity consistent when testing multiple outfits or backdrops (use responsibly and with consent)
GPT-Image 1.5 Strengths
- Strong prompt adherence for nailing specific LinkedIn requirements (framing, attire, background, expression) from text alone
- High-fidelity rendering that often produces clean, modern headshot aesthetics with minimal prompting
- Great at generating multiple distinct options quickly (e.g., different industries or seniority vibes) from a single brief
- Flexible quality tiers (low/medium/high) make it easy to balance cost vs. detail depending on usage
Verdict
Choose Flux 2 if you’re polishing an existing portrait, need consistent identity across many variations, or want a controlled, brand-consistent look (especially for teams). The higher per-image cost can be worth it when you need editability, repeatability, and sharper final crops.
Choose GPT-Image 1.5 if you’re generating a LinkedIn-ready headshot primarily from a text prompt and want strong instruction-following. It’s also a good pick when you need a range of options at different price points, scaling quality up for the final selection.
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