
אין התאמות. נסה “video”, “FLUX” או “webhooks”.
טוען מודלים…
flux/schnell
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/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://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux/schnell?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Top-down food photograph of a breakfast spread on a linen tablecloth: sourdough toast with avocado, a bowl of berries, a cappuccino with latte art, soft morning window light.",
"num_outputs": 1
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/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/he/developers/docs/mcp)
claude mcp add --transport http doitong-models https://vit.doitong.com/api/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
}
}
קראו למודל FLUX.1 [schnell] (flux/schnell) דרך Doitong API. תיעוד לסוכנים: https://doitong.com/he/developers/models/flux/schnell.md
POST https://vit.doitong.com/api/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
}
אם סטטוס התגובה הוא "queued" או "running", בצעו polling ל־GET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20 עד שהוא יהיה "succeeded"; הקבצים נמצאים ב־outputs[].url. שליחת POST ל־https://vit.doitong.com/api/v1/quote/flux/schnell עם אותו גוף מחזירה את המחיר המדויק לפני ההרצה.
בקשה זו: 0.003 $ 3 קרדיטי API הרצה בדף הזה
מפתח ה־API החדש שלכם. הוא מוצג רק עכשיו וכבר מופיע בקוד ובשדה מפתח ה-API שלמטה. שמרו עליו בסוד: לעולם אל תכניסו אותו לקוד שרץ בדפדפן.
הפקדים נוצרים מסכמת המודל. הקוד והמחיר מתעדכנים כשמשנים אותם.
/run/flux/schnell?wait=20
הצעת מחיר → 0.003 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/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://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux/schnell?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "Top-down food photograph of a breakfast spread on a linen tablecloth: sourdough toast with avocado, a bowl of berries, a cappuccino with latte art, soft morning window light.",
"num_outputs": 1
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/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
}
}
}
המפתח שלך נשאר בדפדפן הזה: הוא נשלח רק אל Doitong API ונשמר ב-localStorage רק אם מסמנים זכור. קבל מפתח API
מודל FLUX מזוקק בן 12 מיליארד פרמטרים, שדורש רק 1 עד 4 צעדי הסרת רעש ולכן הוא הדרך המהירה ביותר להפוך הנחיה לתמונה. השתמשו בו לטיוטות, תמונות ממוזערות, תצוגות מקדימות וצינורות בעומס גבוה; עברו למודל FLUX גדול יותר כשנדרשים פרטים עדינים או כיתוב מדויק. כל גודל עד 14 מגה־פיקסלים, עד ארבע תמונות לבקשה.
שלח את השם הקנוני או את השם המקומי, לא את שניהם. שמות קנוניים
num_inference_stepsאופציונלי
promptחובה
image_sizeאופציונלי
seedאופציונלי
guidance_scaleאופציונלי
num_imagesאופציונלי
num_outputs
enable_safety_checkerאופציונלי
output_formatאופציונלי
accelerationאופציונלי
{
"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://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
לסוכני AI: דף זה בפורמט Markdown נמצא בכתובת https://doitong.com/he/developers/models/flux/schnell.md. כל המודלים והמדריכים: https://doitong.com/developers/llms.txt