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Use in agentBFL models

BFL modelsimage generation api

bfl/flux-2/lora

Flux 2 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 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.
020
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 20.
450
The number of inference steps to perform. Range: 4 to 50.
The format of the generated image. Allowed values: jpeg, png.
The seed to use for the generation. If not provided, a random seed will be used.
List of LoRA weights to apply (maximum 3). Each LoRA can be a URL, HuggingFace repo ID, or local path.
Idle

Example output — click Run to generate your own

API README

Flux 2 Lora

Flux 2 Lora belongs at the adapted FLUX.2 visual production stage of a visual workflow. Rather than treating the model as an isolated demonstration, teams can place it inside briefing, review, selection, and handoff practices where teams can introduce a learned visual vocabulary while continuing to use familiar FLUX.2 planning and review practices. This positioning clarifies why the model earns a place in a real creative pipeline and what kind of decision it helps people make.

A practical use of Flux 2 Lora is repeatable brand aesthetics, licensed characters, specialized subject matter, and client-specific creative programs. Begin by agreeing on the creative objective and review criteria, prepare only the source material needed for that objective, and compare results against audience, brand, editorial, and production needs. Technical request choices remain documented below so the prose can stay focused on planning and creative value.

Highlights

Learned-concept fidelity. Carries the trained subject or aesthetic into new prompts with recognizable characteristics.

Base-model quality retention. Preserves strong composition, materials, lighting, and typography while applying the adaptation.

Flexible concept recombination. Places the learned identity into new scenes, poses, and art directions.

Consistent creative series. Repeats a specialized visual language across multiple assets without retraining for each prompt. This configuration emphasizes the model family's characteristic balance of prompt accuracy, visual detail, and creative flexibility.

Pricing

Billing unitPrice
Per request$0.021

When to Use

✅ Good fit❌ Consider alternatives
The model's named workflow matches the source material and intended outputA different input modality or model route is required
A managed asynchronous result is suitable for the production pipelineA synchronous, interactive editor is essential
The documented controls cover the required duration, framing, or formatThe project needs controls outside this endpoint's schema
Creative iteration benefits from a repeatable request structureExact deterministic pixels, frames, geometry, or samples are mandatory
A finished downloadable media asset is the desired deliverableEditable source layers or a native project file are required

Prompt Guide

For generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.

{
  "aspect_ratio": "21:9",
  "output_format": "png",
  "prompt": "Close shot a pianist plays in a luxurious room with tall windows overlooking a rainy metropolis. Shot with a 50mm lens at a side profile angle, soft tungsten light highlighting hands moving over keys. Capture detailed reflections in polished black piano surfaces, raindrops sliding down glass, and atmospheric warm/cool lighting contrast."
}

Technical Specs

SpecValue
Model IDbfl/flux-2/lora
Inputsaspect_ratio, guidance_scale, loras, num_inference_steps, output_format, prompt, seed
Required inputsprompt
Output fieldscontent_type, url
ExecutionAsync (submit, then poll for result)
Aspect Ratio21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16
Output Formatjpeg / png

Related Models

Related Models

bfl/flux-2/lora/editFlux 2 Lora Edit by BFL - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance images effortlessly.bfl/flux-2/dev/editFlux 2 Dev Edit is BFL's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.bfl/flux-2/flashFlux 2 Flash by BFL - generate stunning images from text prompts with state-of-the-art AI. Supports multiple aspect ratios, styles, and high-resolution output for creative and commercial use.bfl/flux-2/flash/editFlux 2 Flash Edit is BFL's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.bfl/flux-2/flexFlux 2 Flex 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.bfl/flux-2/flex/editFlux 2 Flex Edit by BFL - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance images effortlessly.bfl/flux-2/klein/4bFlux 2 Klein 4b 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.bfl/flux-2/klein/4b/baseFlux 2 Klein 4b by BFL - generate stunning images from text prompts with state-of-the-art AI. Supports multiple aspect ratios, styles, and high-resolution output for creative and commercial use.