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Use in agentBFL models

BFL modelsimage generation api

bfl/flux-1/krea/image-to-image

Flux 1 Krea by BFL - AI-powered image editing, style transfer, and transformation. Edit photos with natural language instructions, remove backgrounds, change styles, and enhance images effortlessly.

Input
The prompt to generate an image from.

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

The URL of the image to generate an image from.
0.011
The strength of the initial image. Higher strength values are better for this model. Range: 0.01 to 1.
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.
120
Range: 1 to 20.
1050
Range: 10 to 50.
Idle

Example output — click Run to generate your own

API README

FLUX.1 Krea [dev]

FLUX.1 Krea [dev] applies the Krea-tuned FLUX aesthetic to source-conditioned generation. The supplied image anchors subject or composition, while the model reinterprets style, material, color, lighting, and atmosphere into a new polished visual rather than merely filtering the original pixels.

Choose it for art-direction upgrades, campaign variations, restyling, and reference-led concept development. State which source features must remain recognizable and describe the desired Krea-like presentation in terms of composition, lighting, texture, palette, and photographic or illustrative language.

Highlights

  • Krea aesthetic transformation. Reinterprets a source through the model’s polished visual tuning.
  • Source composition anchoring. Keeps useful subject and layout cues connected to the original image.
  • Material and lighting restyling. Rebuilds surfaces, color, and illumination as part of the new treatment.
  • Creative image-to-image variation. Produces a fresh designed result instead of a superficial filter effect.

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 image-conditioned 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.

{
  "image": "https://example.com/start-frame.png",
  "output_format": "jpeg",
  "prompt": "A cat dressed as a wizard with a background of a mystic forest."
}

Technical Specs

SpecValue
Model IDbfl/flux-1/krea/image-to-image
Inputsguidance_scale, image, num_inference_steps, output_format, prompt, seed, strength
Required inputsprompt, image
Output fieldscontent_type, url
ExecutionAsync (submit, then poll for result)
Output Formatjpeg / png

Related Models

Related Models

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