Flux 2 Pro Text To Image API Documentation

Flux 2 Pro Text To Image API Documentation

Playground

FLUX.2 [pro] from Black Forest Labs delivers production-grade text-to-image generation with enhanced realism, sharper text rendering, and native editing for reliable, repeatable results. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Production-ready text-to-image with studio-grade quality and zero parameter hassle. FLUX.2 [pro] is the flagship model in the FLUX.2 family, tuned so that a good prompt is all you need—no guessing guidance scales, no step-count experiments—just reliable, campaign-ready images.

Where FLUX.2 [pro] shines

• Always-on production pipelines

• High-volume generation with strict brand rules

• API and backend integrations

• Teams that want predictable quality, not parameter juggling

• Hero shots, key art, and other detail-critical deliverables

Key benefits

• Ready-to-use studio quality

Produces professional-grade images without configuring steps, schedulers, or guidance values—the model’s internal optimisation makes those calls for you.

• Stable across large batches

Delivers predictable results across many prompts and jobs, making it well suited for automated workflows, API usage, and brand-safe pipelines.

• Frictionless iteration

A streamlined setup lets teams move quickly from prompt idea to usable creative, shortening review cycles and experiment loops.

• Format-ready outputs

Supports JPEG for lightweight web assets, fitting both digital campaigns and print preparation.

• Consistent reruns

Seed control allows you to recreate a previous result or explore controlled variations without touching low-level inference parameters.

• Prompt-smart generation

Built-in prompt handling helps the model interpret complex instructions more clearly, improving coherence on multi-object, multi-character, or layout-heavy prompts.

Pricing

• $0.03 per generated image

FLUX.2 family on WaveSpeedAI

Use FLUX.2 [pro] Text-to-Image together with the rest of the FLUX.2 lineup for a complete generate-and-edit stack:

• FLUX.2 [dev] Text-to-Image – lightweight base model optimised for speed and LoRA training.
• FLUX.2 [dev] Edit – fast, style-consistent edits on existing images with a lean architecture.
• FLUX.2 [flex] Text-to-Image – versatile, style-rich generation with broader aesthetics at high speed.
• FLUX.2 [flex] Edit – precise, controllable, and colour-accurate edits on existing images.
• FLUX.2 [pro] Edit – premium editing for detailed, high-fidelity transformations on critical assets.

More Image Tools on WaveSpeedAI

• Nano Banana Pro – Google’s Gemini-based text-to-image model for sharp, coherent, prompt-faithful visuals that work great for ads, keyframes, and product shots.
• Seedream V4 – ’s style-consistent, multi-image generator ideal for posters, campaigns, and large batches of on-brand illustrations.
• Qwen Edit Plus – an enhanced Qwen-based image editor for precise inpainting, cleanup, and local style changes while preserving overall composition.

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"
}
JSON
)

# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  --connect-timeout 10 --max-time 60 \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-pro/text-to-image" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}"); then
  printf 'Submit failed. %s\n' "${CHECK}" >&2
  exit 1
fi

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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id. %s\n' "${CHECK}" >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
  # Transient errors (429, 5xx) are retried, honoring Retry-After.
  HTTP_CODE=$(curl --silent --show-error --fail-with-body \
    --connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
    --output "${BODY_FILE}" --write-out '%{http_code}' \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
  case "${HTTP_CODE}" in
    2??) ;;
    000|429|5??)  # dropped connection or temporary error: keep polling
      printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      sleep 10; continue ;;
    *) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      cat "${BODY_FILE}" >&2; exit 1 ;;
  esac
  RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted)
      printf 'Task %s ended with status %s\n' "${PREDICTION_ID}" "${STATUS}" >&2
      printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.

Response Parameters

Result Request Parameters

Result Response Parameters