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BFL modelsimage generation api

bfl/flux-1/lora

Flux 1 Lora 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 LoRAs to use for the image generation. You can use any number of LoRAs and they will be merged together to generate the final image.
035
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: 0 to 35.
150
The number of inference steps to perform. Range: 1 to 50.
The format of the generated image. Allowed values: jpeg, png.
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.
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 Lora

Flux 1 Lora is a FLUX.1 generation route that applies a Low-Rank Adaptation to the base image model. The adapter can teach a recurring visual style, character, product, object, or domain-specific concept without replacing the broader composition and rendering abilities of FLUX, making specialized output available through a compact customization layer.

Use it when a project needs repeatable branded aesthetics, recognizable characters, specialized subject knowledge, or a visual concept that ordinary prompting cannot express reliably. Mention the adapter’s trigger concept naturally inside a complete scene description, and keep subject, action, composition, lighting, material, and atmosphere explicit so customization does not replace art direction.

Highlights

  • Adapted concept learning. Expresses a style, character, object, or domain encoded by the selected LoRA.
  • Base-model composition. Retains FLUX.1 scene construction, prompt interpretation, and visual rendering around the adapted concept.
  • Repeatable specialization. Carries the learned treatment across new subjects, scenes, poses, and layouts.
  • Compact customization. Adds specialized behavior through a lightweight adapter rather than a completely separate foundation model.

Pricing

ConfigurationBilling unitPrice
Base generationPer request$0.035

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,
  "loras": [],
  "aspect_ratio": "21:9"
}

Technical Specs

SpecValue
Model IDbfl/flux-1/lora
Input fieldsseed (integer)<br>loras (array)<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; 0–35)<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/pulid
  • bfl/flux-1/schnell

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