Wan 3.0 Text to Video
Integrate
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/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
}
}
Call the Wan 3.0 Text to Video model (alibaba/wan-3.0/text-to-video) through the Doitong API. Docs for agents: https://doitong.com/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
}
If the response status is "queued" or "running", poll GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 until it is "succeeded"; the files are in outputs[].url. POST https://api.doitong.com/v1/quote/alibaba/wan-3.0/text-to-video with the same body returns the exact price before the run.
This request: $0.25 250 API credits Run it on this page
Your new API key. It is shown only now and is already in the code and in the API key field below. Keep it secret: never put it in code that runs in a browser.
Examples
Build a request
Controls are generated from the model schema. The code and the price update as you change them.
/run/alibaba/wan-3.0/text-to-video?wait=20
quote → $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
}
}
}
Run this request
Your key stays in this browser: it is sent only to the Doitong API and saved (localStorage) only if you tick Remember. Get an API key
Made on Doitong
Public works made with Wan 3.0 by the Doitong community. Reuse a prompt in one click.
Video
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...
Video
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...
About Wan 3.0 Text to Video
Wan 3.0 renders long, coherent shots from a prompt, from 2 up to 30 seconds, with generated sound by default. An optional reasoning step plans complex scenes, and prompt expansion is on by default. 480p, 720p or 1080p in six aspect ratios, or adaptive framing.
Parameters
Send either the canonical name or the native name, not both. Canonical names
promptrequired
resolutionoptional
aspect_ratiooptional
durationoptional
audiooptional
generate_audio
enable_prompt_expansionoptional
enable_thinkingoptional
seedoptional
Output
{
"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"
}
}
Fields of output
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}Video file produced by generation.
- seed
- integerSeed value applied during generation.
- duration
- numberLength of the generated video, measured in seconds.
- actual_prompt
- string | null
Other Wan 3.0 variants
More models: Text to Video
For AI agents: this page as Markdown is at https://doitong.com/developers/models/alibaba/wan-3.0/text-to-video.md. All models and guides: https://doitong.com/developers/llms.txt