Wan 3.0 Text to Video
Integrere
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/se/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
}
}
Riŋge Wan 3.0 Text to Video-modeallii (alibaba/wan-3.0/text-to-video) Doitong API bokte. Dokumentašuvdna ageanttaide: https://doitong.com/se/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
}
Jus vástádusa status lea "queued" dahje "running", jeara GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 dassážii go dat lea "succeeded"; fiillat leat outputs[].url:s. POST https://api.doitong.ru/v1/quote/alibaba/wan-3.0/text-to-video seamma boduin máksá dárkilis haddái ovdal vuodjámis.
Dát ohcamuš: 0,25 $ 250 API-kreditta · ≈ 26,89 ₽ Vuodje dán siiddu alde
Du ođđa API-čoavdda. Dat čájehuvvo dušše dál ja lea juo koden ja API-čoavdda giettis dás vuolábealde. Bisso dan čihkosis: ale goassige bidde dan kodaide mat vuđđojuvvojit fierpmádatrávnnji.
Ovdamearkkat
Ráhkat jearaldaga
Kontrollat ráhkaduvvojit modealla skeama vuođul. Koda ja haddi ođasmahttojuvvojit go rievddadat daid.
/run/alibaba/wan-3.0/text-to-video?wait=20
haddemearrádus → 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
}
}
}
Geavat dán ohcamuša
Du key báhcá dán fierpmádatlogan: dat sáddejuvvo dušše Doitong API:ii ja vurkejuvvo (localStorage) dušše jos válljet Remember. Viečča API-keya
Ráhkaduvvon Doitongis
Doitong-bargosearvvi almmolaš barggut, ráhkaduvvon Wan 3.0 bokte. Geavat fas jearaldaga ovtta deaddilemiin.
Video
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...
Video
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...
Video
# 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...
Dát lea Wan 3.0 Text to Video birra
Wan 3.0 ráhkada guhkes, čatnašuvvan govvalašvuođa promptas, 2 gitta 30 sekundda, ráhkaduvvon jienain standardin. Eaktodáhtolaš árvvoštallanlávki plánere kompleksa scenáid, ja prompta viiddideapmi lea standardin alde. 480p, 720p dahje 1080p guhttanuppelohkái govvaráioi, dahje adaptive framing.
Parametterat
Sádde kanonala nama dahje iežas nama, ii goappašiid. Kanonala namat
promptgáibiduvvo
resolutioneaktodáhtolaš
aspect_ratioeaktodáhtolaš
durationeaktodáhtolaš
audioeaktodáhtolaš
generate_audio
enable_prompt_expansioneaktodáhtolaš
enable_thinkingeaktodáhtolaš
seedeaktodáhtolaš
Boađus
{
"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"
}
}
Outputa giettit
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}Ráhkadeami bokte buvttaduvvon videofiila.
- seed
- integerRáhkadeamis geavahuvvon sádjiárvu.
- duration
- numberRáhkaduvvon video guhkkodat, sekundain.
- actual_prompt
- string | null
Eará Wan 3.0-variánttat
Eanet modeallat: Teakstas video
AI-agenttaide: dán siidu Markdowna lea dáppe https://doitong.com/se/developers/models/alibaba/wan-3.0/text-to-video.md. Buot modeallat ja ráđit: https://doitong.com/developers/llms.txt