WaveSpeedAI APIWavespeed AIFlux 2 Turbo Text To Image

Flux 2 Turbo Text To Image

Flux 2 Turbo Text To Image

Playground

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FLUX 2 turbo from Black Forest Labs is the speed-optimized text-to-image model for real-time workflows. Generate photoreal images and clean typography with strong prompt adherence and consistent style—ideal for ads, posters, social posts, and rapid iteration. Built for low-latency, high-throughput use. Ready-to-use REST API, best performance, no cold starts, affordable pricing.

Features

FLUX.2 [turbo] — Text-to-Image

FLUX.2 [turbo] is the speed-optimized text-to-image model in the FLUX.2 family, built for ultra-fast generation with strong prompt adherence and dependable output quality. It’s ideal for real-time creation, high-volume pipelines, and rapid iteration where latency matters.


Where FLUX.2 [turbo] fits best

  • Real-time applications requiring low latency
  • High-volume batch generation workflows
  • Rapid iteration, prototyping, and creative exploration
  • Cost-sensitive production pipelines that still need consistent quality

Key benefits

  • Turbo-fast generation Optimized for minimal latency so you can generate more variations per minute.

  • Quality you can ship Designed to preserve the core FLUX.2 look and coherence while prioritizing speed.

  • Prompt-smart outputs Handles detailed prompts (objects, lighting, style cues) with reliable composition and fewer “random surprises.”

  • Format-ready files Supports common output formats including JPEG, PNG, and WebP for web, design, and production workflows.


Parameters

ParameterDescription
prompt*Text description of the desired image (the more specific the prompt, the more consistent the result).
widthOutput width (px).
heightOutput height (px).
seedUse -1 for random results, or set a fixed value for reproducible generations.

How to use

  1. Write a detailed prompt describing subject, environment, style, and lighting.

  2. Set output size by choosing width and height (square for general use, wide for banners, tall for posters).

  3. Set a seed:

    • Use -1 for random variations each run
    • Use a fixed number to reproduce a result or explore controlled variations
  4. Run the model and download the generated image.


Pricing

  • $0.01 per generated image

FLUX.2 family on WaveSpeedAI

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-2-turbo/text-to-image" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1024*1024",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": 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.
sizestringNo1024*1024256 ~ 1536 per dimensionThe size of the generated media in pixels (width*height).
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.
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.
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.

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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