Flux 2 vs GPT-Image 1.5
Corporate and professional headshot photography — see how these models compare with real AI-generated outputs.
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Professional headshots live or die on subtle details: natural skin texture, realistic lighting, clean backgrounds, accurate facial features, and wardrobe that reads “corporate” without looking costume-like. Influencer Studio offers two strong options for generating and refining corporate headshots—Flux 2 and GPT-Image 1.5—each with a different edge depending on your workflow.
This comparison focuses specifically on corporate and professional headshot photography: generating polished, camera-like portraits; maintaining identity across variations; handling retouch-level edits; and balancing quality against credits per image.
Professional Headshot — Side-by-Side Results
Prompt
"A late-20s influencer with shoulder-length wavy brown hair wearing a smart-casual blazer over a plain white tee holds their phone at arm’s length for a selfie, looking slightly off-camera with a confident, approachable half-smile. Shot like an Instagram story “quick update” in a quiet coworking café corner against a clean light-grey wall, minimal background clutter for a headshot feel. Soft natural window light from the side, realistic phone-camera perspective, no glam retouching."
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 headshot editing: strong image-to-image workflows for refining an existing portrait (lighting, background, wardrobe tweaks) without starting over
- LoRA support for consistent “house style” headshots (e.g., matching a company’s look across teams) and repeatable brand aesthetics
- Up to 4MP output helps preserve crisp facial detail for profile photos, websites, and larger crops
- Versatile style transfer for producing multiple corporate looks (modern studio, outdoor corporate, executive editorial) from a single base
- Face-swap support can help align identity across headshot variants when you need consistent likeness across poses and outfits
GPT-Image 1.5 Strengths
- Strong prompt adherence for reliably hitting corporate requirements (neutral backdrop, soft key light, specific wardrobe, framing, expression)
- High-fidelity generation that can produce clean, camera-like headshots from text prompts without needing a source image
- Flexible quality tiers (low/medium/high) make it easy to choose quick drafts vs portfolio-ready outputs based on time and budget
- Strong at detailed scene control when you want contextual professional environments (office, conference venue) while keeping the subject primary
- Predictable results for standardized prompts, useful for batch-generating consistent headshot sets
Verdict
Choose Flux 2 when your headshot workflow is edit-heavy: you already have a base image (or a strong first pass) and need controlled refinements—background swaps, subtle retouching, wardrobe adjustments, or consistent styling across a team. Its LoRA support and editing versatility make it a strong fit for “production” headshot pipelines.
Choose GPT-Image 1.5 when you want high-quality corporate headshots directly from prompts with minimal iteration, or when prompt accuracy is your top priority. It’s also a good value for concepting at the low tier, then stepping up to medium/high for final selections.
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