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BFL modelsimage generation api

bfl/flux-1/dev

Flux 1 Dev 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.

Input
The prompt to generate an image from.
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 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 Dev

Flux 1 Dev is the open-weight development model in the FLUX.1 family, exposing strong text-to-image synthesis for research, local experimentation, customization, and non-final production pipelines. Its value lies in adaptable model behavior and access to the generative foundation rather than a hosted premium finish.

Use it to prototype image systems, study prompting behavior, test local inference, and build adapted workflows before selecting a commercial finishing model. Detailed descriptions of subject, action, composition, lighting, materials, and style remain important because development flexibility does not replace creative direction.

Highlights

  • Open-weight image generation. Makes FLUX.1 generative behavior available for local research and experimentation.
  • Adaptable model foundation. Supports customization, fine-tuning, and specialized pipeline development.
  • Detailed prompt synthesis. Builds coherent subjects, scenes, materials, and illumination from language.
  • Research-oriented reproducibility. Enables controlled experiments around inference, prompting, and adaptation.

Pricing

Billing unitPrice
Per request$0.025

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": "16:9",
  "output_format": "jpeg",
  "prompt": "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture."
}

Technical Specs

SpecValue
Model IDbfl/flux-1/dev
Inputsaspect_ratio, guidance_scale, 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

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