Flux 2 Turbo Text To Image

Flux 2 Turbo Text To Image

Playground

Try it on WaveSpeedAI!

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] 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
  1. 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

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "size": "1024*1024",
  "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-turbo/text-to-image" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
sizestringNo1024*1024-The size of the generated media in pixels (width*height).
seedintegerNo-1-The random seed to use for the generation. -1 means a random seed will be used.
enable_sync_modebooleanNofalse-If set to `true`, the request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models.
enable_base64_outputbooleanNofalse-If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN.

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.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (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

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
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
© 2026 WaveSpeedAI. All rights reserved.