FLUX.2 [klein] 9B LoRA

Name: FLUX.2 [klein] 9B LoRA
Author: BFL

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

Flux 2 Klein 9b 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.

Use in agent Get API key

Base price: $0.01USD / run
Execution: async
Model type: image
Input fields: 6

Try the model

Playground

Open playground

Input

Prompt(string)

The prompt to generate an image from.

Aspect Ratio(string)

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.

Number of Inference Steps(integer)

The number of inference steps to perform. Range: 4 to 8.

Output Format(string)

The format of the generated image. Allowed values: jpeg, png.

Seed(integer)

The seed to use for the generation. If not provided, a random seed will be used.

Loras(array)

List of LoRA weights to apply (maximum 3).

OutputReady

Your output will appear here

Complete the inputs, then click Run.

Specifications

Pricing

Base price: $0.01 / 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/lora
Execution: async
API: Unified Run API
Endpoint: /v1/run

API README

Flux 2 Klein 9b Lora

Flux 2 Klein 9b Lora belongs at the customized high-throughput visual production stage of a visual workflow. Rather than treating the model as an isolated demonstration, teams can place it inside briefing, review, selection, and handoff practices where a compact learned adapter lets a product team establish recognizable house treatment without maintaining a separate large foundation. This positioning clarifies why the model earns a place in a real creative pipeline and what kind of decision it helps people make.

A practical use of Flux 2 Klein 9b Lora is brand systems, recurring characters, specialty catalogs, and domain-specific creative services that must respond quickly. Begin by agreeing on the creative objective and review criteria, prepare only the source material needed for that objective, and compare results against audience, brand, editorial, and production needs. Technical request choices remain documented below so the prose can stay focused on planning and creative value.

Highlights

Learned-concept fidelity. Carries the trained subject or aesthetic into new prompts with recognizable characteristics.

Base-model quality retention. Preserves strong composition, materials, lighting, and typography while applying the adaptation.

Flexible concept recombination. Places the learned identity into new scenes, poses, and art directions.

Consistent creative series. Repeats a specialized visual language across multiple assets without retraining for each prompt. The 9B Klein checkpoint provides greater model capacity than the compact 4B edition, while the LoRA variant adds specialized concept control.

Pricing

Billing unit	Price
Per request	$0.015

When to Use

✅ Good fit	❌ Consider alternatives
The model's named workflow matches the source material and intended output	A different input modality or model route is required
A managed asynchronous result is suitable for the production pipeline	A synchronous, interactive editor is essential
The documented controls cover the required duration, framing, or format	The project needs controls outside this endpoint's schema
Creative iteration benefits from a repeatable request structure	Exact deterministic pixels, frames, geometry, or samples are mandatory
A finished downloadable media asset is the desired deliverable	Editable 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",
  "output_format": "png",
  "prompt": "A bright, surreal scene on a vast white salt flat under a clear blue sky, featuring two fluffy white alpacas standing in the foreground. Behind them sits a sleek white supercar with its scissor doors open, creating a dramatic futuristic silhouette. The sunlight is strong and crisp, casting sharp shadows on the ground and giving the image a clean, high-contrast cinematic look. Minimalist composition, playful luxury vibe, ultra sharp detail, wide-angle perspective, high resolution."
}

Technical Specs

Spec	Value
Model ID	`bfl/flux-2/klein/9b/lora`
Inputs	aspect_ratio, loras, num_inference_steps, output_format, prompt, seed
Required inputs	prompt
Output fields	content_type, url
Execution	Async (submit, then poll for result)
Aspect Ratio	21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16
Output Format	jpeg / png

Related Models

bfl/flux-2/klein/9b — Compare this concrete local family route.
bfl/flux-2/klein/9b/base — Compare this concrete local family route.
bfl/flux-2/klein/9b/base/edit — Compare this concrete local family route.

Start building

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/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 $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'SANDBASE_JSON'
{
  "model": "bfl/flux-2/klein/9b/lora",
  "loras": [],
  "prompt": "A bright, surreal scene on a vast white salt flat under a clear blue sky, featuring two fluffy white alpacas standing in the foreground. Behind them sits a sleek white supercar with its scissor doors open, creating a dramatic futuristic silhouette. The sunlight is strong and crisp, casting sharp shadows on the ground and giving the image a clean, high-contrast cinematic look. Minimalist composition, playful luxury vibe, ultra sharp detail, wide-angle perspective, high resolution.",
  "output_format": "png",
  "num_inference_steps": 4
}
SANDBASE_JSON
)
run_id=$(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"

Choose your model

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All language models

Model	Context	Input / 1M	Output / 1M	Released
FLUX.2 [klein] 9B LoRAThis model `BFL`	—	—	—	Mar 17, 2026
FLUX Virtual Try-On `BFL`	—	—	—	May 28, 2026
Flux Pro Erase `BFL`	—	—	—	May 21, 2026
Flux 2 Pro `BFL`	—	—	—	May 14, 2026
FLUX.2 [klein] 9B LoRA `BFL`	—	—	—	Mar 17, 2026
FLUX.2 [klein] 4B LoRA `BFL`	—	—	—	Mar 17, 2026