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.
Ocioso

$0.07por execução·~14 / $1

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.

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 serene Japanese zen garden with raked sand, moss stones, minimal wooden architecture, morning sun, tranquil mood.
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.
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.
Use FLUX.2 [max] Text-to-Image together with the rest of the FLUX.2 lineup for a complete generate-and-edit stack:
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; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Flux 2 Max Text To Image below.
# Submit the prediction
curl -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 '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/flux-2-max/text-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/flux-2-max/text-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputFlux 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.
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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-2-max-text-to-image.
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.
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.
Average end-to-end generation time on WaveSpeedAI is around 38 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
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.