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FLUX.2 [klein] 9B LoRA

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

Flux 2 Klein 9b is BFL's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.

Use in agentGet API key
Base price
$0.03USD / run
Execution
async
Model type
image
Input fields
7

Try the model

Playground

Open playground
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.
48
The number of inference steps to perform. Range: 4 to 8.
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.
OutputReady

Your output will appear here

Complete the inputs, then click Run.

Specifications

Pricing

Base price
$0.03 / run

Context & modalities

Input
Schema-defined
Output
image

Capabilities

Chat
Not supported
Vision
Not supported
Reasoning
Not supported
Structured output
Not supported
Function calling
Not supported
Audio input
Not supported

Access

Provider
BFL
Model ID
bfl/flux-2/klein/9b/edit/lora
Execution
async
API
Unified Run API
Endpoint
/v1/run

API README

FLUX.2 [klein] 9B LoRA

FLUX.2 [klein] 9B LoRA Edit reimagines existing images from text prompts. Its editing range includes background replacement and artistic style conversion, while multiple references can carry several visual cues into one revision.

This variant accepts image and LoRA inputs and uses a compact 4–8 inference-step range. Ten aspect ratios, JPEG or PNG output, and seed control support repeatable delivery once a visual direction has been selected.

Highlights

Background replacement. Reposition an existing subject in a new setting without rebuilding the complete image.

Artistic style conversion. Use written direction to move supplied imagery toward a different visual treatment.

LoRA and reference inputs. Combine LoRA inputs with several reference images when the edit needs multiple forms of visual direction.

Compact production controls. Use 4–8 inference steps, ten aspect ratios, JPEG or PNG output, and a seed for controlled reruns.

Pricing

Billing unitPrice
Per request$0.03

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",
  "images": [
    "https://example.com/reference-1.png",
    "https://example.com/reference-2.png"
  ],
  "output_format": "png",
  "prompt": "Turn this into a realistic image"
}

Technical Specs

SpecValue
Model IDbfl/flux-2/klein/9b/edit/lora
Inputsaspect_ratio, images, 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

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Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API
Unified Run API endpoint
https://api.sandbase.ai/v1/run
Model ID
bfl/flux-2/klein/9b/edit/lora
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
  -X POST "https://api.sandbase.ai/v1/run" \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'SANDBASE_JSON'
{
  "model": "bfl/flux-2/klein/9b/edit/lora",
  "loras": [],
  "images": [
    "https://static.sandbase.ai/examples/bfl/flux-2/klein/9b/edit/lora/input_images_0.png"
  ],
  "prompt": "Turn this into a realistic image",
  "output_format": "png",
  "num_inference_steps": 4
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
  status=$(printf '%s' "$result" | jq -r .status)
  case "$status" in completed|failed|timeout) break ;; esac
  sleep 2
  result=$(curl --fail-with-body --silent \
    -H "Authorization: Bearer $SANDBASE_API_KEY" \
    "https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"

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