bfl/flux-1/schnell
Flux 1 Schnell 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-1/schnellInput 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 same seed and the same prompt given to the same version of the model will output the same image every time. |
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: "jpeg" jpegpng |
guidance_scale | number | Optional | The CFG (Classifier Free 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: 1 · Max: 20 · Default: 3.5 |
num_inference_steps | integer | Optional | The number of inference steps to perform. · Min: 1 · Max: 12 · 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-1/schnell",
"prompt": "Extreme close-up of a single tiger eye, direct frontal view. Detailed iris and pupil. Sharp focus on eye texture and color. Natural lighting to capture authentic eye shine and depth. The word \"FLUX\" is painted over it in big, white brush strokes with visible texture.",
"aspect_ratio": "16:9",
"output_format": "jpeg",
"guidance_scale": 3.5,
"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 1 Schnell
Flux 1 Schnell combines the low-step, speed-oriented FLUX.1 Schnell model with direct text-to-image generation. It is intended for rapid visual iteration, allowing creators to test compositions and art direction quickly while retaining the FLUX family’s ability to construct coherent subjects, lighting, materials, and stylistic treatment.
Write a concise but concrete brief with subject, action, composition, setting, lighting, and style, then use the fast turnaround to compare several visual directions. This route is most valuable during exploration and high-volume generation, before a slower model is chosen for demanding final-detail work.
Highlights
- Rapid image synthesis. Uses a low-step generation path for quick previews and high-volume visual exploration.
- Coherent prompt rendering. Builds recognizable subjects, settings, lighting, and composition from written direction.
- Broad stylistic coverage. Supports photographic, illustrative, product, and graphic visual treatments.
- Iteration-friendly output. Makes it practical to compare many concepts before committing to a higher-cost finishing route.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.003 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact generation or editing route | The intended task belongs to video, audio, or 3D media |
| Available references match every required local field | Required source assets or rights are unavailable |
| The brief can specify composition, color, and finish | Output must be deterministic at pixel level |
| Supported dimensions and formats fit final placement | Delivery requires unsupported canvas specifications |
| An asynchronous generated image fits production | A 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,
"aspect_ratio": "21:9",
"output_format": "jpeg"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | bfl/flux-1/schnell |
| Input fields | seed (integer)<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; 1–20)<br>num_inference_steps (integer; 1–12) |
| Required input | prompt |
| Output fields | url, content_type |
| Execution | Asynchronous job |
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