Flux 2 vs GPT-Image 1.5
Interior design, staging, and property listings — see how these models compare with real AI-generated outputs.
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For real estate and interiors, image models need to do more than “look good.” They must respect room geometry, keep materials consistent, preserve architectural features, and deliver listing-ready visuals that feel believable and well-lit.
Flux 2 and GPT-Image 1.5 both support high-quality interior imagery, but they excel in different parts of the workflow—especially when you need edits to existing photos, consistent styling across a full property, or highly controlled text-to-image renders for concept staging.
Real Estate & Interiors — Side-by-Side Results
Prompt
"Wide-angle phone photo (0.5x) of a bright, modern staged living room in a luxury apartment—neutral sofa, textured rug, tidy coffee table book stack, tall plant, and floor-to-ceiling windows with soft natural daylight—captured like an Airbnb listing hero shot. A woman in her mid-20s with shoulder-length wavy brown hair, wearing a casual oversized hoodie and biker shorts, is half-sitting on the sofa holding her phone at arm’s length for a quick “apartment tour” selfie, glancing toward the camera with a relaxed, candid smile. Clean, inviting, real-estate interior vibe, minimal clutter, natural window light, slight handheld framing like an Instagram story."
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
- Strong image-to-image editing for renovating or virtually staging existing room photos (swap finishes, furniture, decor) while keeping the original layout
- LoRA support enables consistent “property style packs” (e.g., modern coastal, Scandinavian, luxury minimal) across multiple rooms and listing sets
- Up to 4MP output helps produce sharper listing images suitable for web brochures and marketing assets
- Versatile style transfer for quickly exploring multiple design directions from the same base room
- Face-swap support can help with lifestyle-style staging concepts (useful for marketing comps), though typically less central for standard property listings
GPT-Image 1.5 Strengths
- Strong prompt adherence for precise control over interior details (materials, color palettes, furniture types, lighting mood, camera angle)
- High-fidelity text-to-image results for clean concept renders and aspirational staging visuals
- Detailed scenes that handle layered decor (textiles, art, accessories) and multi-room compositions well
- Flexible quality tiers (low/medium/high) make it easy to match cost to use case—from quick drafts to hero images
Verdict
Choose Flux 2 when your real estate workflow relies on editing existing photos—virtual staging, finish swaps, decluttering, or maintaining consistent design language across an entire property. Its LoRA support is especially valuable for repeatable, on-brand interior sets.
Choose GPT-Image 1.5 when you need highly controllable text-to-image interiors with excellent prompt precision—ideal for concept boards, new-build visualizations, or generating multiple listing “looks” from scratch. If you want predictable instruction-following and can scale quality by budget, it’s a strong fit.
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