bfl/flux-2/turbo
Flux 2 Turbo 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/turboInput Schema
5 parameters · 1 required · 4 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. |
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 · Default: "16:9" 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 |
guidance_scale | number | Optional | Guidance Scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. · Min: 0 · Max: 20 · Default: 2.5 |
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/turbo",
"prompt": "A realistic photograph of a vintage typewriter with a sheet of paper inserted that says 'Chapter One: The Journey Begins,' sunlight falling across the desk.",
"aspect_ratio": "16:9",
"output_format": "png",
"guidance_scale": 2.5
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Flux 2 Turbo
Flux 2 Turbo belongs at the rapid visual ideation at scale 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 shorter waiting time changes how teams work: more alternatives can be reviewed early, before budget and attention narrow around a final direction. 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 Turbo is live design tools, A/B testing, thumbnails, social variants, and exploratory boards that benefit from many quick candidates. 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
Complex prompt understanding. Connects multiple subjects, relationships, lighting, typography, and style within one composition.
High-fidelity rendering. Resolves people, objects, materials, and environmental detail with a polished finish.
Reliable text integration. Places legible wording into posters, signs, packaging, and graphic layouts.
Broad aesthetic coverage. Handles realistic photography, illustration, design, and stylized imagery without one fixed look. Turbo inference prioritizes rapid ideation and high-throughput iteration while retaining the requested visual concept.
Pricing
| Billing unit | Price |
|---|---|
| Per request | $0.008 |
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": "16:9",
"output_format": "png",
"prompt": "A realistic photograph of a vintage typewriter with a sheet of paper inserted that says 'Chapter One: The Journey Begins,' sunlight falling across the desk."
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | bfl/flux-2/turbo |
| Inputs | aspect_ratio, guidance_scale, 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/turbo/edit— Compare this concrete local family route.bfl/flux-2/dev— Compare this concrete local family route.bfl/flux-2/dev/edit— Compare this concrete local family route.