flux-2-flex/text-to-image
flux-2-flex/text-to-image
FLUX.2 [flex] from Black Forest Labs delivers fast, flexible text-to-image generation with enhanced realism, sharper text rendering, and built-in editing for rapid iteration: a ready-to-use REST inference API, best performance, no cold starts, and affordable pricing.
Examples
Parameters
| Name | Type | Default | Constraints | Description |
|---|---|---|---|---|
| prompt *Prompt | textarea | — | ≤ 5000 chars | The positive prompt for the generation. |
| sizeSize | text | 1024*1024 | ≤ 500 chars | The size of the generated media in pixels (width*height). |
| seedSeed | number | — | step 1 | The random seed to use for the generation. -1 means a random seed will be used. |
Output fields
| Field | Type | Description |
|---|---|---|
| images | array<string> |
API
Call this model through one unified REST API. Get a key on the API Keys page.
cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/flux-2-flex/text-to-image" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"prompt": "A cinematic street portrait of a young woman standing under neon signs in a rainy Tokyo alley at night, realistic skin texture, detailed reflections on wet pavement, shallow depth of field, vibrant magenta and cyan lighting, ultra-sharp focus, natural pose, subtle fog, highly detailed, photorealistic",
"size": "1024*1024",
"seed": -1
}
}'
# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
-H "Authorization: Bearer YOUR_API_KEY"Python
import time, requests
API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
# 1) Submit
resp = requests.post(
"https://www.namifusion.com/api/v1/marketplace/run/flux-2-flex/text-to-image",
headers=HEADERS,
json={
"input": {
"prompt": "A cinematic street portrait of a young woman standing under neon signs in a rainy Tokyo alley at night, realistic skin texture, detailed reflections on wet pavement, shallow depth of field, vibrant magenta and cyan lighting, ultra-sharp focus, natural pose, subtle fog, highly detailed, photorealistic",
"size": "1024*1024",
"seed": -1
}
},
)
resp.raise_for_status() # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()
# 2) Poll until a terminal state (completed / failed / cancelled).
# This model is allowed up to 1800s server-side.
deadline = time.time() + 1860
while task.get("status") not in ("completed", "failed", "cancelled"):
if time.time() > deadline:
raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
time.sleep(3)
poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
poll.raise_for_status()
task = poll.json()
print(task["status"], task.get("output"))JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };
// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/flux-2-flex/text-to-image", {
method: "POST",
headers: { ...HEADERS, "Content-Type": "application/json" },
body: JSON.stringify({
"input": {
"prompt": "A cinematic street portrait of a young woman standing under neon signs in a rainy Tokyo alley at night, realistic skin texture, detailed reflections on wet pavement, shallow depth of field, vibrant magenta and cyan lighting, ultra-sharp focus, natural pose, subtle fog, highly detailed, photorealistic",
"size": "1024*1024",
"seed": -1
}
}),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();
// 2) Poll until a terminal state (completed / failed / cancelled).
// This model is allowed up to 1800s server-side.
const deadline = Date.now() + 1860 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
await new Promise((r) => setTimeout(r, 3000));
const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
task = await poll.json();
}
console.log(task.status, task.output);Documentation
flux-2-flex/text-to-image
flux-2-flex/text-to-image
FLUX.2 [flex] from Black Forest Labs delivers fast, flexible text-to-image generation with enhanced realism, sharper text rendering, and built-in editing for rapid iteration: a ready-to-use REST inference API, best performance, no cold starts, and affordable pricing.
Parameters
| Parameter | Type | Required | Default | Limits / description |
|---|---|---|---|---|
prompt | string | Yes | — | max 5000 chars; The positive prompt for the generation. |
size | string | No | "1024*1024" | max 500 chars; The size of the generated media in pixels (width*height). |
seed | integer | No | — | The random seed to use for the generation. -1 means a random seed will be used. |
Pricing
$0.06 per generated image = 6 credits. The price is fixed for this endpoint.
WaveSpeed standard list price; USD 1 = 100 credits. Account discounts are separate.
API
curl -X POST https://www.namifusion.com/api/v1/marketplace/run/flux-2-flex/text-to-image \
-H "Authorization: Bearer $API_KEY" \
-H 'Content-Type: application/json' \
-d '{
"input": {
"prompt": "A cinematic street portrait of a young woman standing under neon signs in a rainy Tokyo alley at night, realistic skin texture, detailed reflections on wet pavement, shallow depth of field, vibrant magenta and cyan lighting, ultra-sharp focus, natural pose, subtle fog, highly detailed, photorealistic",
"size": "1024*1024",
"seed": -1
}
}'
curl 'https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID' \
-H "Authorization: Bearer $API_KEY"
Submit returns task_uuid. Poll until completed or failed. Successful output: output.images (URL array). This API is asynchronous and returns URLs.
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