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.
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runbfl/flux-2/klein/9b/loraInput Schema
6 parameters · 1 required · 5 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt to generate an image from. |
seed | integer | Optional | The seed to use for the generation. If not provided, a random seed will be used. |
loras | object[] | Optional | List of LoRA weights to apply (maximum 3). · Default: [] |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
output_format | string | Optional | The format of the generated image. · Options: jpeg, png · Default: "png" jpegpng |
num_inference_steps | integer | Optional | The number of inference steps to perform. · Min: 4 · Max: 8 · Default: 4 |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"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
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"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.