Wan 3.0 Text to Video
Whakauru
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.com/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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/alibaba/wan-3.0/text-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A hummingbird hovers in front of a bright red hibiscus flower in a tropical garden, wings a blur, then darts away as the camera slowly racks focus to dew drops on the leaves. Macro lens, soft morning light, natural ambience.",
"resolution": "480p",
"aspect_ratio": "16:9",
"duration": 5,
"generate_audio": false
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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/mi/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": "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
}
}
Karangahia te tauira Wan 3.0 Text to Video (alibaba/wan-3.0/text-to-video) mā te Doitong API. Tuhinga mō ngā āpiha: https://doitong.com/mi/developers/models/alibaba/wan-3.0/text-to-video.md
POST https://api.doitong.com/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
}
Mēnā ko "queued" "running" rānei te tūnga whakautu, uiuitia GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 kia "succeeded"; kei outputs[].url ngā kōnae. Ko POST https://api.doitong.com/v1/quote/alibaba/wan-3.0/text-to-video me taua tinana anō ka whakahoki i te utu tika i mua i te whakahaere.
Tēnei tono: $ 0.25 250 whiwhinga API Whakahaerehia ki tēnei whārangi
Tō kī API hou. Ka whakaaturia ināianei anake, ā, kua whakaurua kētia ki te waehere me te āpure kī API kei raro. Me huna: kaua rawa e waiho ki te waehere e whakahaere ana i roto i te pūtirotiro.
Ngā tauira
Hangaia he tono
Ka hangaia ngā mana whakahaere mai i te aronuinga o te tauira. Ka whakahoungia te waehere me te utu ina whakarerekē koe.
/run/alibaba/wan-3.0/text-to-video?wait=20
utu → $ 0.25
# 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/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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/alibaba/wan-3.0/text-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A hummingbird hovers in front of a bright red hibiscus flower in a tropical garden, wings a blur, then darts away as the camera slowly racks focus to dew drops on the leaves. Macro lens, soft morning light, natural ambience.",
"resolution": "480p",
"aspect_ratio": "16:9",
"duration": 5,
"generate_audio": false
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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
}
}
}
Whakahaerehia tēnei tono
Ka noho tō kī ki tēnei pūtirotiro: ka tukuna ki te Doitong API anake, ā, ka tiakina ki te localStorage anake ina tohua e koe te Mahara. Tikina he kī API
I hangaia ki Doitong
Ngā mahi tūmatanui i hangaia ki Wan 3.0 e te hapori Doitong. Whakamahia anō he tono mā te pāwhiri kotahi.
Ataata
Create a realistic cinematic UGC-style commercial video, exactly 30 seconds long. The entire scene takes place inside a modern passenger airplane during a daytime flight. Natural smartphone-like cinematography, realistic airplane cabin, authentic passengers, natural lighting, realistic skin...
Ataata
Реалистичная бытовая сцена в советской одесской квартире зимним вечером. Женщина находится на кухне, мужчина — в комнате и прихожей. Атмосфера обычной советской семьи перед приходом гостей. Голоса: все персонажи говорят по-русски с естественным, выразительным одесским говором. Характерная...
Mō Wan 3.0 Text to Video
Ka tāia e Wan 3.0 ngā whakaaturanga roa, tōtika mai i tētahi tohutohu, mai i te 2 ki te 30 hēkona, me te oro whakaputaina hei taunoa. Mā tētahi hipanga whakaaro kōwhiringa e whakamahere ngā whakaaturanga matatini, ā, ka whakakāngia te whakawhānui tohutohu hei taunoa. 480p, 720p, 1080p rānei i roto i ngā tauwehenga āhuatanga e ono, he tāpare urutau rānei.
Ngā tawhā
Tukuna te ingoa tōmua, te ingoa taketake rānei, kaua e rua. Ngā ingoa tōmua
prompte hiahiatia ana
resolutionkōwhiringa
aspect_ratiokōwhiringa
durationkōwhiringa
audiokōwhiringa
generate_audio
enable_prompt_expansionkōwhiringa
enable_thinkingkōwhiringa
seedkōwhiringa
Putanga
{
"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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Ngā āpure o te putanga
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}Te kōnae ataata i whakaputaina.
- seed
- integerTe uara kākano i whakamahia i te whakaputanga.
- duration
- numberTe roa o te ataata kua whakaputaina, kua inehia ki ngā hēkona.
- actual_prompt
- string | null
Ētahi atu rerekētanga Wan 3.0
Ētahi atu tauira: Kuputuhi ki te Ataata
Mō ngā āpiha AI: kei te wātea tēnei whārangi hei Markdown ki https://doitong.com/mi/developers/models/alibaba/wan-3.0/text-to-video.md. Ngā tauira me ngā aratohu katoa: https://doitong.com/developers/llms.txt