Wan 3.0 Reference to Video
Integrar
alibaba/wan-3.0/reference-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/reference-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "The fox from Image 1 runs through the forest from Video 1 at night, fireflies everywhere",
"resolution": "720p",
"duration": 5,
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/alibaba/wan-3.0/reference-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "The fox from Image 1 runs through the forest from Video 1 at night, fireflies everywhere",
"resolution": "720p",
"duration": 5,
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "The fox from Image 1 runs through the forest from Video 1 at night, fireflies everywhere",
"resolution": "720p",
"duration": 5,
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
],
}
# 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/reference-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/rm/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/reference-to-video",
"input": {
"prompt": "The fox from Image 1 runs through the forest from Video 1 at night, fireflies everywhere",
"resolution": "720p",
"duration": 5,
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}
}
Cloma il model Wan 3.0 Reference to Video (alibaba/wan-3.0/reference-to-video) tras la Doitong API. Documentaziun per agents: https://doitong.com/rm/developers/models/alibaba/wan-3.0/reference-to-video.md
POST https://api.doitong.com/v1/run/alibaba/wan-3.0/reference-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "The fox from Image 1 runs through the forest from Video 1 at night, fireflies everywhere",
"resolution": "720p",
"duration": 5,
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}
Sche il status da la resposta è "queued" u "running", fa polling GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 fin ch'el è "succeeded"; las datotecas èn en outputs[].url. POST https://api.doitong.com/v1/quote/alibaba/wan-3.0/reference-to-video cun il medem body returna il pretsch exact avant l'execuziun.
Questa dumonda: $0,50 500 credits API Lantschar sin questa pagina
Tia nova clav API. Quest vegn mussada mo ussa ed è gia en il code ed en il champ da la clav API sutvart. Mantegna ella secreta: na la metta mai en code che vegn exequì en in navigatur.
Fatg sin Doitong
Ovras publicas fatgas cun Wan 3.0 da la communitad Doitong. Reutilisescha in prompt cun in clic.
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...
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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...
Construir ina dumonda
Ils controls vegnan generads dal schema dal model. Il code e il pretsch s'actualiseschan durant che ti als midas.
/run/alibaba/wan-3.0/reference-to-video?wait=20
calculaziun → $0,50
# 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/reference-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "The fox from Image 1 runs through the forest from Video 1 at night, fireflies everywhere",
"resolution": "720p",
"duration": 5,
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/alibaba/wan-3.0/reference-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "The fox from Image 1 runs through the forest from Video 1 at night, fireflies everywhere",
"resolution": "720p",
"duration": 5,
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "The fox from Image 1 runs through the forest from Video 1 at night, fireflies everywhere",
"resolution": "720p",
"duration": 5,
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
],
}
# 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/reference-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/reference-to-video",
"input": {
"prompt": "The fox from Image 1 runs through the forest from Video 1 at night, fireflies everywhere",
"resolution": "720p",
"duration": 5,
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
]
},
"wait_seconds": 20
}
}
}
Executar questa dumonda
Tia clav resta en quest browser: ella vegn tramessa mo al Doitong API e memorisada (localStorage) mo sch'ella scheccas Tiar a memoria. Obtegnair ina clav API
Davart Wan 3.0 Reference to Video
Wan 3.0 reference-to-video combina maletgs da referenza, videos curts da referenza (15 secundas en tut) e audio da referenza en in clip generà; inditga els en il prompt tenor la posiziun (Image 1, Video 1). Cun la fasa da raschunament activa po el era basar il video sin in document u ina pagina web publica. 480p fin a 1080p, 2 fin a 30 secundas, audio generà per standard.
Parameters
Invia u il num canonic u il num nativ, betg omaduas. Nums canonics
promptopziunal
resolutionopziunal
aspect_ratioopziunal
durationopziunal
audioopziunal
generate_audio
enable_prompt_expansionopziunal
enable_thinkingopziunal
seedopziunal
reference_image_urlsopziunal
images
reference_video_urlsopziunal
videos
reference_audio_urlsopziunal
audios
file_urlopziunal
web_urlopziunal
Ils parameters da datotecas acceptan ina URL publica https://, ina URI data: fin a 10 MB u il file_url d'ina chargiada. Datotecas
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "alibaba/wan-3.0/reference-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": 500,
"usd": "0.50",
"charged": 500,
"refunded": 0
},
"input": {
"prompt": "The fox from Image 1 runs through the forest from Video 1 at night, fireflies everywhere",
"images": [
"https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
],
"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"
}
}
Champs da l'output
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}Datoteca video producida da la generaziun.
- seed
- integerValur da seed applitgada durant la generaziun.
- duration
- numberDurada dal video generà, mesirada en secundas.
- actual_prompt
- string | null
Autras variantes Wan 3.0
Dapli models: Referenza a video
Per agents AI: questa pagina sco Markdown è disponibla sut https://doitong.com/rm/developers/models/alibaba/wan-3.0/reference-to-video.md. Tut ils models e las guidas: https://doitong.com/developers/llms.txt