Wan 3.0 Text to Video
التكامل
alibaba/wan-3.0/text-to-video
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/alibaba/wan-3.0/text-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A hummingbird hovers in front of a bright red hibiscus flower in a tropical garden, wings a blur, then darts away as the camera slowly racks focus to dew drops on the leaves. Macro lens, soft morning light, natural ambience.",
"resolution": "480p",
"aspect_ratio": "16:9",
"duration": 5,
"generate_audio": false
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/alibaba/wan-3.0/text-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A hummingbird hovers in front of a bright red hibiscus flower in a tropical garden, wings a blur, then darts away as the camera slowly racks focus to dew drops on the leaves. Macro lens, soft morning light, natural ambience.",
"resolution": "480p",
"aspect_ratio": "16:9",
"duration": 5,
"generate_audio": false
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A hummingbird hovers in front of a bright red hibiscus flower in a tropical garden, wings a blur, then darts away as the camera slowly racks focus to dew drops on the leaves. Macro lens, soft morning light, natural ambience.",
"resolution": "480p",
"aspect_ratio": "16:9",
"duration": 5,
"generate_audio": False,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/alibaba/wan-3.0/text-to-video", 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/ar/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "alibaba/wan-3.0/text-to-video",
"input": {
"prompt": "A hummingbird hovers in front of a bright red hibiscus flower in a tropical garden, wings a blur, then darts away as the camera slowly racks focus to dew drops on the leaves. Macro lens, soft morning light, natural ambience.",
"resolution": "480p",
"aspect_ratio": "16:9",
"duration": 5,
"generate_audio": false
}
}
استدعِ نموذج Wan 3.0 Text to Video (alibaba/wan-3.0/text-to-video) عبر Doitong API. توثيق الوكلاء: https://doitong.com/ar/developers/models/alibaba/wan-3.0/text-to-video.md
POST https://api.doitong.ru/v1/run/alibaba/wan-3.0/text-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A hummingbird hovers in front of a bright red hibiscus flower in a tropical garden, wings a blur, then darts away as the camera slowly racks focus to dew drops on the leaves. Macro lens, soft morning light, natural ambience.",
"resolution": "480p",
"aspect_ratio": "16:9",
"duration": 5,
"generate_audio": false
}
إذا كانت حالة الاستجابة "queued" أو "running"، فأرسل طلبات GET إلى https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 حتى تصبح "succeeded"؛ توجد الملفات في outputs[].url. يعيد POST https://api.doitong.ru/v1/quote/alibaba/wan-3.0/text-to-video مع نفس النص الأساسي السعر الدقيق قبل التشغيل.
هذا الطلب: 0.25 $ 250 رصيد API · ≈ 26.89 ₽ تشغيله في هذه الصفحة
مفتاح API الجديد الخاص بك. يظهر الآن فقط، وهو مُدرج بالفعل في الشيفرة وفي حقل مفتاح API أدناه. احتفظ به سريًا: لا تضعه أبدًا في شيفرة تعمل في المتصفح.
أمثلة
إنشاء طلب
تُنشأ عناصر التحكم من مخطط النموذج. يتحدّث الرمز والسعر عند تغييرها.
/run/alibaba/wan-3.0/text-to-video?wait=20
عرض السعر → 0.25 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/alibaba/wan-3.0/text-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A hummingbird hovers in front of a bright red hibiscus flower in a tropical garden, wings a blur, then darts away as the camera slowly racks focus to dew drops on the leaves. Macro lens, soft morning light, natural ambience.",
"resolution": "480p",
"aspect_ratio": "16:9",
"duration": 5,
"generate_audio": false
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/alibaba/wan-3.0/text-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A hummingbird hovers in front of a bright red hibiscus flower in a tropical garden, wings a blur, then darts away as the camera slowly racks focus to dew drops on the leaves. Macro lens, soft morning light, natural ambience.",
"resolution": "480p",
"aspect_ratio": "16:9",
"duration": 5,
"generate_audio": false
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A hummingbird hovers in front of a bright red hibiscus flower in a tropical garden, wings a blur, then darts away as the camera slowly racks focus to dew drops on the leaves. Macro lens, soft morning light, natural ambience.",
"resolution": "480p",
"aspect_ratio": "16:9",
"duration": 5,
"generate_audio": False,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/alibaba/wan-3.0/text-to-video", 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": "alibaba/wan-3.0/text-to-video",
"input": {
"prompt": "A hummingbird hovers in front of a bright red hibiscus flower in a tropical garden, wings a blur, then darts away as the camera slowly racks focus to dew drops on the leaves. Macro lens, soft morning light, natural ambience.",
"resolution": "480p",
"aspect_ratio": "16:9",
"duration": 5,
"generate_audio": false
},
"wait_seconds": 20
}
}
}
تشغيل هذا الطلب
يبقى مفتاحك في هذا المتصفح: لا يُرسل إلا إلى Doitong API ويُحفظ في localStorage فقط إذا فعّلت خيار التذكّر. الحصول على مفتاح API
أُنشئت على Doitong
أعمال عامة أُنشئت باستخدام Wan 3.0 من مجتمع Doitong. أعد استخدام موجّه بنقرة واحدة.
فيديو
Создай 30-секундный обучающий музыкальный ролик для детей 3–5 лет. Тема: транспорт. Яркая 2D-анимация, весёлый водитель в кепке, крупные машины, пастельные цвета. 0:00–0:10 приветствие под музыку; 0:10–0:30 песенка: "Машина едет би-би, би-би", "Поезд едет ту-ту, ту-ту". Бодрая детская музыка...
فيديو
Создай 30-секундный обучающий музыкальный ролик для детей 3–5 лет. Тема: транспорт. Яркая 2D-анимация, тот же весёлый водитель в кепке, самолёт. 0:00–0:15 песенка: "Самолёт летит вж-ж-ж, вж-ж-ж"; 0:15–0:25 интерактивная пауза: водитель спрашивает "Как гудит машина?", пауза; 0:25–0:30 финальный...
فيديو
# PROMPT: Animated Mother’s Day greeting card **Format:** vertical video 9:16 **Duration:** 12–15 seconds **Style:** high‑quality Pixar‑inspired 3D animation, cinematic, warm, emotional, charming animated movie aesthetic. ### The main character is a child Use the attached image as the only and...
حول Wan 3.0 Text to Video
ينشئ Wan 3.0 لقطات طويلة ومتسقة من مطالبة، بمدة من 2 إلى 30 ثانية، مع إنشاء الصوت افتراضيًا. تخطط خطوة استدلال اختيارية للمشاهد المعقدة، ويكون توسيع المطالبة مفعّلًا افتراضيًا. بدقة 480p أو 720p أو 1080p وبـ ست نسب أبعاد، أو بتأطير تكيفي.
المعاملات
أرسل الاسم الأساسي أو الاسم الأصلي، وليس كليهما. الأسماء الأساسية
promptمطلوب
resolutionاختياري
aspect_ratioاختياري
durationاختياري
audioاختياري
generate_audio
enable_prompt_expansionاختياري
enable_thinkingاختياري
seedاختياري
المخرجات
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "alibaba/wan-3.0/text-to-video",
"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": 250,
"usd": "0.25",
"charged": 250,
"refunded": 0
},
"input": {
"prompt": "A red panda walks through a bamboo forest at sunrise, mist between the stalks, gentle handheld camera",
"duration": 5,
"resolution": "720p"
},
"output": {
"video": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_name": "0-output.mp4",
"file_size": 1843200,
"width": 1024,
"height": 768,
"fps": 1.0,
"duration": 5,
"num_frames": 1
},
"seed": 42,
"duration": 5,
"actual_prompt": "string"
},
"outputs": [
{
"type": "video",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
"content_type": "video/mp4",
"file_size": 1843200,
"width": 1280,
"height": 720,
"duration": 5,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
حقول المخرجات
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}ملف الفيديو الناتج عن التوليد.
- seed
- integerقيمة البذرة المطبّقة أثناء التوليد.
- duration
- numberمدة الفيديو المُولّد، مقاسة بالثواني.
- actual_prompt
- string | null
أنواع Wan 3.0 الأخرى
مزيد من النماذج: من نص إلى فيديو
لوكلاء الذكاء الاصطناعي: تتوفر هذه الصفحة بصيغة Markdown على https://doitong.com/ar/developers/models/alibaba/wan-3.0/text-to-video.md. جميع النماذج والأدلة: https://doitong.com/developers/llms.txt