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BFL modelsimage generation api

bfl/flux-1.1/ultra/redux

Flux 1.1 Ultra Redux 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 image URL to generate an image from. Needs to match the dimensions of the mask.
The format of the generated image. Allowed values: jpeg, png.
01
The strength of the image prompt, between 0 and 1. Range: 0 to 1.
Generate less processed, more natural-looking images.
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

FLUX1.1 [pro] ultra Redux

FLUX1.1 [pro] ultra Redux combines Ultra-resolution rendering with Redux image-reference conditioning. A source image supplies composition, palette, texture, or aesthetic direction, and the model creates a new high-resolution interpretation that remains visibly related without being a literal enlargement or copy.

Use it to expand an approved art direction into alternate hero imagery, campaign families, high-resolution mood studies, and new subjects that inherit a reference aesthetic. Select references for the qualities worth transferring, then evaluate composition and stylistic continuity before relying on fine surface detail.

Highlights

  • High-resolution reference variation. Creates large new imagery guided by an existing visual.
  • Aesthetic cue transfer. Carries palette, texture, composition, and mood from the reference.
  • Creative reinterpretation. Produces a fresh scene rather than simply upscaling or duplicating the source.
  • Detail-rich derivative assets. Combines visual relation to the reference with Ultra-level spatial detail.

Pricing

Billing unitPrice
Per request$0.05

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.

{
  "aspect_ratio": "21:9",
  "image": "https://example.com/start-frame.png",
  "output_format": "jpeg",
  "prompt": ""
}

Technical Specs

SpecValue
Model IDbfl/flux-1.1/ultra/redux
Inputsaspect_ratio, image, image_prompt_strength, output_format, prompt, raw, seed
Required inputsprompt, image
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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