Flux Schnell

Flux Schnell

Playground

Try it on WavespeedAI!

FLUX.1 [schnell] is a 12B rectified flow transformer for high-quality text-to-image generation via API. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

FLUX.1 Schnell — wavespeed-ai/flux-schnell

wavespeed-ai/flux-schnell is an ultra-fast text-to-image model designed for high-throughput generation and rapid iteration. It’s ideal when you want to explore ideas quickly, batch-generate variations, or power real-time creative workflows with consistent, production-friendly latency.

What it’s good at

  • Fast text-to-image generation for rapid prompt iteration
  • High-throughput batches (great for grids, A/B testing, and variations)
  • Concepting & ideation (style exploration, composition discovery)
  • Lightweight production use where speed matters more than maximum fidelity

Inputs

  • prompt (required): your text description
  • image (optional): reference image (if enabled in your deployment)
  • mask_image (optional): mask for inpainting / local edits (if enabled)
  • strength (optional): how strongly the model follows the reference/mask edit intent
  • size: output resolution (width/height)
  • num_images: number of images to generate
  • seed: random seed (-1 for random)
  • output_format: output format (e.g., jpeg)
  • enable_base64_output (API only): return base64 instead of a URL
  • enable_sync_mode (API only): wait for generation to finish before returning
  • Quick iterations: keep prompts short and specific, generate multiple candidates (num_images > 1)
  • More control: lock the seed, then tweak one prompt element at a time
  • Editing/inpainting: start with strength ~0.6–0.85, then adjust based on how much change you want

Use cases

  • Marketing creative drafts: generate dozens of on-brand concept options fast
  • Game & animation concept art: rapid character/prop/environment exploration
  • Design exploration: packaging, posters, thumbnails, UI mood boards
  • Prompt prototyping: build “prompt recipes” before switching to higher-fidelity models
  • Batch generation pipelines: large-scale variation sweeps for selection and ranking

Pricing

ModelPrice per image
wavespeed-ai/flux-schnell$0.003

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-schnell" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "strength": 0.8,
    "size": "1024*1024",
    "num_images": 1,
    "seed": -1,
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagestringNo-
mask_imagestringNo-The mask image tells the model where to generate new pixels (white) and where to preserve the original image (black). It acts as a stencil or guide for targeted image editing.
strengthnumberNo0.80.00 ~ 1.00Strength indicates extent to transform the reference image.
sizestringNo1024*1024256 ~ 1536 per dimensionThe size of the generated media in pixels (width*height).
num_imagesintegerNo11 ~ 4The number of images to generate.
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.
output_formatstringNojpegjpeg, png, webpThe format of the output image.
enable_base64_outputbooleanNofalse-If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
enable_sync_modebooleanNofalse-If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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