Seedance 2.5 Now Live | Try in Video Generator →

wavespeed-ai/

FLUX 2 Max 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.

text-to-image
Input

Idle

A warm 1980s family film photo, soft blur, faded colors, nostalgic grain, imperfect flash lighting, natural candid atmosphere.

$0.07per run·~14 / $1

Next:

ExamplesView all

A warm 1980s family film photo, soft blur, faded colors, nostalgic grain, imperfect flash lighting, natural candid atmosphere.

A warm 1980s family film photo, soft blur, faded colors, nostalgic grain, imperfect flash lighting, natural candid atmosphere.

A massive cyberpunk megacity at night, neon reflections on wet roads, enormous holograms, dense high-rise buildings, atmospheric fog.

A massive cyberpunk megacity at night, neon reflections on wet roads, enormous holograms, dense high-rise buildings, atmospheric fog.

Minimalist Nordic flat illustration design, clean geometry, muted beige tones, calm atmosphere, balanced negative space.

Minimalist Nordic flat illustration design, clean geometry, muted beige tones, calm atmosphere, balanced negative space.

A hyper-realistic portrait of a woman in natural sunset light, ultra-fine skin texture, soft shadows, emotional expression, shallow depth of field.

A hyper-realistic portrait of a woman in natural sunset light, ultra-fine skin texture, soft shadows, emotional expression, shallow depth of field.

A serene Japanese zen garden with raked sand, moss stones, minimal wooden architecture, morning sun, tranquil mood.

A serene Japanese zen garden with raked sand, moss stones, minimal wooden architecture, morning sun, tranquil mood.

Related Models

README

FLUX 2 Max — Text to Image

Production-ready text-to-image with studio-grade quality and minimal setup. FLUX 2 Max is the top-tier model in the FLUX.2 family, designed to push image quality, prompt understanding, and output consistency to the highest level for reliable, repeatable generations.

Where FLUX.2 [max] shines

  • Always-on production pipelines that demand stable outputs
  • High-volume generation with strict brand and composition rules
  • API and backend integrations that need predictable results
  • Teams that want maximum quality without parameter juggling
  • Key art, hero shots, product visuals, and detail-critical deliverables

Parameters

  • Size The size of generated media in pixels(width*Height).

Key benefits

  • Top-tier realism and sharper text rendering Built to deliver enhanced realism and cleaner typography for polished, campaign-ready visuals.

  • More consistency, less “drift” Compared with lower tiers, [max] is positioned to reduce unwanted changes between reruns and iterations, improving editing and generation stability.

  • Brand-friendly control The FLUX.2 text-to-image stack supports exact color control (hex-code steering) and flexible aspect ratios for brand-aligned creative.

  • Batch-stable and automation-ready Tuned for repeatable results across large workloads, making it well suited for automated pipelines and high-throughput jobs.

  • Seed-based reruns Use seed control to reproduce a result or explore controlled variations without fiddling with low-level inference knobs.

Pricing

  • $0.07 per generated image

FLUX.2 family on WaveSpeedAI

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

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 – style-consistent, multi-image generator ideal for posters, campaigns, and large batches of on-brand illustrations.
  • Qwen Edit Plus – enhanced image editor for precise inpainting, cleanup, and local style changes while preserving overall composition.
Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Flux 2 Max Text To Image API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-max/text-to-image with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Flux 2 Max Text To Image below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "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-max/text-to-image" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$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
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-max/text-to-image";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "size": "1024*1024",
        "seed": -1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "size": "1024*1024",
    "seed": -1
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-max/text-to-image", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Flux 2 Max Text To Image API — Frequently asked questions

What is the Flux 2 Max Text To Image API?

Flux 2 Max Text To Image is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. FLUX 2 Max 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. You can call it programmatically or try it from the playground above.

How do I call the Flux 2 Max Text To Image API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-2-max-text-to-image.

How much does Flux 2 Max Text To Image cost per run?

Flux 2 Max Text To Image starts at $0.070 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Flux 2 Max Text To Image accept?

Key inputs: `prompt`, `size`, `seed`, `enable_base64_output`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-2-max-text-to-image.

How long does Flux 2 Max Text To Image take to generate?

Median end-to-end generation time on WaveSpeedAI is around 32 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Flux 2 Max Text To Image outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Flux 2 Max Text to Image | High-Quality Text-to-Image API on WaveSpeedAI