
Brak wyników. Spróbuj „video”, „FLUX” lub „webhooks”.
Ładowanie modeli…
flux/schnell
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/flux/schnell?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Top-down food photograph of a breakfast spread on a linen tablecloth: sourdough toast with avocado, a bowl of berries, a cappuccino with latte art, soft morning window light.",
"num_outputs": 1
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux/schnell?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Top-down food photograph of a breakfast spread on a linen tablecloth: sourdough toast with avocado, a bowl of berries, a cappuccino with latte art, soft morning window light.",
"num_outputs": 1
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Top-down food photograph of a breakfast spread on a linen tablecloth: sourdough toast with avocado, a bowl of berries, a cappuccino with latte art, soft morning window light.",
"num_outputs": 1,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux/schnell", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/pl/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "flux/schnell",
"input": {
"prompt": "Top-down food photograph of a breakfast spread on a linen tablecloth: sourdough toast with avocado, a bowl of berries, a cappuccino with latte art, soft morning window light.",
"num_outputs": 1
}
}
Wywołaj model FLUX.1 [schnell] (flux/schnell) za pośrednictwem Doitong API. Dokumentacja dla agentów: https://doitong.com/pl/developers/models/flux/schnell.md
POST https://api.doitong.com/v1/run/flux/schnell?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "Top-down food photograph of a breakfast spread on a linen tablecloth: sourdough toast with avocado, a bowl of berries, a cappuccino with latte art, soft morning window light.",
"num_outputs": 1
}
Jeśli status odpowiedzi to "queued" lub "running", odpytuj GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20, aż status zmieni się na "succeeded"; pliki znajdują się w outputs[].url. POST https://api.doitong.com/v1/quote/flux/schnell z tym samym ciałem zwraca dokładną cenę przed uruchomieniem.
To żądanie: 0,003 $ 3 kredyty API Uruchom na tej stronie
Twój nowy klucz API. Jest wyświetlany tylko teraz i znajduje się już w kodzie oraz w polu klucza API poniżej. Zachowaj go w tajemnicy: nigdy nie umieszczaj go w kodzie uruchamianym w przeglądarce.
Elementy sterujące są generowane ze schematu modelu. Kod i cena aktualizują się podczas ich zmiany.
/run/flux/schnell?wait=20
wycena → 0,003 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/flux/schnell?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Top-down food photograph of a breakfast spread on a linen tablecloth: sourdough toast with avocado, a bowl of berries, a cappuccino with latte art, soft morning window light.",
"num_outputs": 1
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux/schnell?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Top-down food photograph of a breakfast spread on a linen tablecloth: sourdough toast with avocado, a bowl of berries, a cappuccino with latte art, soft morning window light.",
"num_outputs": 1
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "Top-down food photograph of a breakfast spread on a linen tablecloth: sourdough toast with avocado, a bowl of berries, a cappuccino with latte art, soft morning window light.",
"num_outputs": 1,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux/schnell", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "flux/schnell",
"input": {
"prompt": "Top-down food photograph of a breakfast spread on a linen tablecloth: sourdough toast with avocado, a bowl of berries, a cappuccino with latte art, soft morning window light.",
"num_outputs": 1
},
"wait_seconds": 20
}
}
}
Klucz pozostaje w tej przeglądarce: jest wysyłany tylko do Doitong API i zapisywany (localStorage) tylko po zaznaczeniu opcji Zapamiętaj. Uzyskaj klucz API
Publiczne prace utworzone za pomocą FLUX.1 przez społeczność Doitong. Użyj ponownie promptu jednym kliknięciem.
Close-up portrait seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi...
Close-up portrait seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi...
Prompt Details Seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi...
Seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi wajahnya. Ia memeluk...
"Potret sinematik ultra-realistis close-up seorang anak laki-laki kecil (balita) yang sangat menggemaskan dengan mata cokelat besar yang ekspresif, rambut hitam berantakan yang tebal, mengenakan kaus putih kerah henley. Dia berpose dengan kedua tangan terkatup di depan dada, menunjukkan senyum...
"Potret sinematik ultra-realistis close-up seorang anak laki-laki kecil (balita) yang sangat menggemaskan dengan mata cokelat besar yang ekspresif, rambut hitam berantakan yang tebal, mengenakan kaus putih kerah henley. Dia berpose dengan kedua tangan terkatup di depan dada, menunjukkan senyum...
"Potret sinematik ultra-realistis close-up seorang anak laki-laki kecil (balita) yang sangat menggemaskan dengan mata cokelat besar yang ekspresif, rambut hitam berantakan yang tebal, mengenakan kaus putih kerah henley. Dia berpose dengan kedua tangan terkatup di depan dada, menunjukkan senyum...
Foto sinematik hiper-realistis resolusi tinggi menampilkan seorang pria muda Indonesia dengan tubuh ramping dan proporsional, rambut hitam pendek agak acak, mengenakan jaket kulit hitam, celana riding fit, dan sepatu motor. Ia sedang melakukan aksi freestyle ekstrem dengan motor sport 500cc...
Foto sinematik hiper-realistis resolusi tinggi menampilkan seorang pria muda Indonesia dengan tubuh ramping dan proporsional, rambut hitam pendek agak acak, mengenakan jaket kulit hitam dan celana riding fit. Ia sedang bersiap melakukan freestyle menggunakan motor sport 500cc berwarna merah,...
Destylowany model FLUX z 12 miliardami parametrów, który wymaga tylko od 1 do 4 kroków odszumiania, dzięki czemu jest najszybszym sposobem przekształcania promptu w obraz. Używaj go do szkiców, miniatur, podglądów i potoków o dużej skali; przełącz się na większy model FLUX, gdy liczą się drobne szczegóły lub dokładne napisy. Obsługuje dowolny rozmiar do 14 megapikseli oraz do czterech obrazów na żądanie.
Wyślij nazwę kanoniczną albo natywną, nie obie. Nazwy kanoniczne
num_inference_stepsopcjonalne
promptwymagane
image_sizeopcjonalne
seedopcjonalne
guidance_scaleopcjonalne
num_imagesopcjonalne
num_outputs
enable_safety_checkeropcjonalne
output_formatopcjonalne
accelerationopcjonalne
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "flux/schnell",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 3,
"usd": "0.003",
"charged": 3,
"refunded": 0
},
"input": {
"prompt": "A lighthouse on a rocky coast at dusk, waves crashing, warm light in the window, cinematic wide shot",
"image_size": "landscape_16_9",
"num_images": 1
},
"output": {
"images": [
{
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"width": 1024,
"height": 768,
"content_type": "image/jpeg"
}
],
"timings": {},
"seed": 42,
"has_nsfw_concepts": [
false
],
"prompt": "string"
},
"outputs": [
{
"type": "image",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Dla agentów AI: ta strona w formacie Markdown jest dostępna pod adresem https://doitong.com/pl/developers/models/flux/schnell.md. Wszystkie modele i przewodniki: https://doitong.com/developers/llms.txt