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BFL modelsimage generation api

bfl/flux-2-lora-gallery/apartment-staging

Flux 2 Lora Gallery Apartment Staging is BFL's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.

Input
The prompt to generate a furnished room. Use 'furnish this room' for best results.

PNG, JPEG, WebP, or GIF · 20 MiB maximum each

The URL of the empty room image to furnish.
020
The CFG (Classifier Free Guidance) scale. Controls how closely the model follows the prompt. Range: 0 to 20.
450
The number of inference steps to perform. Range: 4 to 50.
The format of the output image Allowed values: png, jpeg.
02
The strength of the apartment staging effect. Range: 0 to 2.
The aspect ratio of the generated image. Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16.
Random seed for reproducibility. Same seed with same prompt will produce same result.
Idle

Example output — click Run to generate your own

API README

Flux 2 Lora Gallery

Flux 2 Lora Gallery is a specialized FLUX.2 LoRA workflow for apartment staging. It combines the selected adaptation with FLUX.2’s strong prompt understanding and photorealistic scene construction, concentrating the model on a repeatable production task instead of asking a general image endpoint to infer the workflow from a broad prompt.

Use this route when the input assets and final deliverable match apartment staging exactly. Explain the desired composition and presentation, then state the visual facts that must stay consistent—such as architecture, identity, geometry, branding, or material appearance. The specialization supplies task knowledge, while the brief controls the specific creative result.

Highlights

  • Virtual room staging. Furnishes an empty or sparse interior while retaining the room’s architectural envelope.
  • Perspective-matched furniture. Places furnishings with scale, orientation, and depth consistent with the source photograph.
  • Lighting integration. Matches shadows, reflections, and color temperature so additions belong in the room.
  • Architecture preservation. Keeps walls, windows, doors, and fixed surfaces stable through the staging transformation.

Pricing

ConfigurationBilling unitPrice
Base generationPer request$0.021

When to Use

✅ Good fit❌ Consider alternatives
The project needs this exact generation or editing routeThe intended task belongs to video, audio, or 3D media
Available references match every required local fieldRequired source assets or rights are unavailable
The brief can specify composition, color, and finishOutput must be deterministic at pixel level
Supported dimensions and formats fit final placementDelivery requires unsupported canvas specifications
An asynchronous generated image fits productionA live frame-synchronous response is mandatory

Prompt Guide

Write a complete visual brief: identify the subject and references, define composition and viewpoint, describe lighting, palette, materials, typography, and finish, then list exact preservation constraints. FLUX.2 Klein does not rely on prompt upsampling, so use clear descriptive sentences rather than sparse keywords.

{
  "prompt": "A photorealistic editorial composition with precise subject placement, controlled lighting, exact colors, and clean typography",
  "seed": 1,
  "images": [
    "https://example.com/reference.jpg"
  ],
  "lora_scale": 1
}

Technical Specs

SpecValue
Model IDbfl/flux-2-lora-gallery/apartment-staging
Input fieldsseed (integer)<br>images (array)<br>prompt (string)<br>lora_scale (number; 0–2)<br>aspect_ratio (string; 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16)<br>output_format (string; png, jpeg)<br>guidance_scale (number; 0–20)<br>num_inference_steps (integer; 4–50)
Required inputprompt
Output fieldsurl, content_type
ExecutionAsynchronous job

Related Models

  • bfl/flux-2-lora-gallery/face-to-full-portrait
  • bfl/flux-2-lora-gallery/multiple-angles
  • bfl/flux-2-lora-gallery/realism

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