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bfl/flux-2/klein/9b/base/edit/lora

Flux 2 Klein 9b 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 edit the image.

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

The URLs of the images for editing. A maximum of 4 images are allowed.
020
Guidance scale for classifier-free guidance. 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.
List of LoRA weights to apply (maximum 3).
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 seed to use for the generation. If not provided, a random seed will be used.
Idle

Example output — click Run to generate your own

API README

FLUX.2 [klein] 9B Base LoRA

FLUX.2 [klein] 9B Base LoRA exposes the FLUX.2 Klein 9B Base Edit LoRA capability for reference-led image revision. The undistilled Base architecture retains full training signal and higher output diversity for adaptation and research. A lightweight adapter adds a learned style, subject, or domain concept to this exact path.

Use this 9B route when a stronger quality-to-speed balance and more complex visual understanding matter. Describe the requested change separately from source identity, geometry, and regions that must remain fixed. Choose the Base form for fine-tuning or diverse research outputs rather than minimum inference latency.

Highlights

  • FLUX.2 Klein 9B Base Edit LoRA architecture. Uses the undistilled 9B foundation with full training signal and diverse output behavior.
  • Unified contextual editing. Understands source content and applies directed semantic or appearance changes.
  • Adapter-based specialization. Expresses a learned style, character, object, or domain through a lightweight adaptation.
  • Reference consistency. Preserves important subject, composition, and detail through the requested revision.

Pricing

ConfigurationBilling unitPrice
Base generationPer request$0.04

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": [],
  "images": [
    "https://example.com/reference.jpg"
  ]
}

Technical Specs

SpecValue
Model IDbfl/flux-2/klein/9b/base/edit/lora
Input fieldsseed (integer)<br>loras (array)<br>images (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; 0–20)<br>num_inference_steps (integer; 4–50)
Required inputprompt
Output fieldsurl, content_type
ExecutionAsynchronous job

Related Models

  • bfl/flux-2/klein/4b
  • bfl/flux-2/klein/4b/base
  • bfl/flux-2/klein/4b/base/edit

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