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BFL modelsimage generation api

bfl/flux-1/srpo

Flux 1 Srpo is BFL's advanced text-to-image AI model. Create photorealistic images, illustrations, and concept art from natural language descriptions with exceptional detail and prompt adherence.

Input
The prompt to generate an image from.
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.
120
The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Range: 1 to 20.
150
The number of inference steps to perform. Range: 1 to 50.
The format of the generated image. Allowed values: jpeg, png.
The same seed and the same prompt given to the same version of the model will output the same image every time.
Idle

Example output — click Run to generate your own

API README

FLUX.1 SRPO [dev]

FLUX.1 SRPO [dev] uses a preference-optimized FLUX.1 variant designed to favor visually compelling, prompt-aligned image results. This generation route creates the scene directly from written art direction.

Use it when aesthetic selection and clear prompt interpretation matter more than neutral base-model behavior. Describe the central subject, visual hierarchy, lighting, color, material, and atmosphere in complete sentences. SRPO’s role is to improve the model’s preference toward satisfying results, while the brief remains responsible for the exact creative target.

Highlights

  • Preference-optimized generation. Favors image candidates aligned with learned aesthetic and prompt-satisfaction preferences.
  • Strong visual hierarchy. Produces balanced composition, readable subject emphasis, and coherent scene structure.
  • Prompt-aligned aesthetics. Connects requested style, mood, lighting, and material treatment to the final image.
  • Detailed scene synthesis. Renders subjects and environments with polished texture, illumination, and spatial relationships.

Pricing

ConfigurationBilling unitPrice
Base generationPer request$0.025

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,
  "aspect_ratio": "21:9",
  "output_format": "jpeg"
}

Technical Specs

SpecValue
Model IDbfl/flux-1/srpo
Input fieldsseed (integer)<br>prompt (string)<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; jpeg, png)<br>guidance_scale (number; 1–20)<br>num_inference_steps (integer; 1–50)
Required inputprompt
Output fieldsurl, content_type
ExecutionAsynchronous job

Related Models

  • bfl/flux-1/krea/redux
  • bfl/flux-1/lora
  • bfl/flux-1/pulid

Related Models

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