Wan 3.0 Image to Video
Integrate
alibaba/wan-3.0/image-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/image-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "The hummingbird hovers in place with blurred wings, sips from the flower, then darts out of frame as the camera slowly racks focus to dew drops on the leaves.",
"resolution": "480p",
"duration": 5,
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_8d2gi6xieif0cf518mbnx752/0-MBac_P_HYvIYfHDIWeUvA_IRELThrq.png"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/alibaba/wan-3.0/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "The hummingbird hovers in place with blurred wings, sips from the flower, then darts out of frame as the camera slowly racks focus to dew drops on the leaves.",
"resolution": "480p",
"duration": 5,
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_8d2gi6xieif0cf518mbnx752/0-MBac_P_HYvIYfHDIWeUvA_IRELThrq.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "The hummingbird hovers in place with blurred wings, sips from the flower, then darts out of frame as the camera slowly racks focus to dew drops on the leaves.",
"resolution": "480p",
"duration": 5,
"generate_audio": False,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_8d2gi6xieif0cf518mbnx752/0-MBac_P_HYvIYfHDIWeUvA_IRELThrq.png",
}
# 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/image-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/image-to-video",
"input": {
"prompt": "The hummingbird hovers in place with blurred wings, sips from the flower, then darts out of frame as the camera slowly racks focus to dew drops on the leaves.",
"resolution": "480p",
"duration": 5,
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_8d2gi6xieif0cf518mbnx752/0-MBac_P_HYvIYfHDIWeUvA_IRELThrq.png"
}
}
Call the Wan 3.0 Image to Video model (alibaba/wan-3.0/image-to-video) through the Doitong API. Docs for agents: https://doitong.com/developers/models/alibaba/wan-3.0/image-to-video.md
POST https://api.doitong.com/v1/run/alibaba/wan-3.0/image-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "The hummingbird hovers in place with blurred wings, sips from the flower, then darts out of frame as the camera slowly racks focus to dew drops on the leaves.",
"resolution": "480p",
"duration": 5,
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_8d2gi6xieif0cf518mbnx752/0-MBac_P_HYvIYfHDIWeUvA_IRELThrq.png"
}
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/image-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/image-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/image-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "The hummingbird hovers in place with blurred wings, sips from the flower, then darts out of frame as the camera slowly racks focus to dew drops on the leaves.",
"resolution": "480p",
"duration": 5,
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_8d2gi6xieif0cf518mbnx752/0-MBac_P_HYvIYfHDIWeUvA_IRELThrq.png"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/alibaba/wan-3.0/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "The hummingbird hovers in place with blurred wings, sips from the flower, then darts out of frame as the camera slowly racks focus to dew drops on the leaves.",
"resolution": "480p",
"duration": 5,
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_8d2gi6xieif0cf518mbnx752/0-MBac_P_HYvIYfHDIWeUvA_IRELThrq.png"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "The hummingbird hovers in place with blurred wings, sips from the flower, then darts out of frame as the camera slowly racks focus to dew drops on the leaves.",
"resolution": "480p",
"duration": 5,
"generate_audio": False,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_8d2gi6xieif0cf518mbnx752/0-MBac_P_HYvIYfHDIWeUvA_IRELThrq.png",
}
# 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/image-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/image-to-video",
"input": {
"prompt": "The hummingbird hovers in place with blurred wings, sips from the flower, then darts out of frame as the camera slowly racks focus to dew drops on the leaves.",
"resolution": "480p",
"duration": 5,
"generate_audio": false,
"image": "https://content.doitong.com/dev-api/2026/10/21/req_8d2gi6xieif0cf518mbnx752/0-MBac_P_HYvIYfHDIWeUvA_IRELThrq.png"
},
"wait_seconds": 20
}
}
}
Run this request
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Made on Doitong
Public works made with Wan 3.0 by the Doitong community. Reuse a prompt in one click.
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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...
About Wan 3.0 Image to Video
Wan 3.0 image-to-video starts from your image and can end on a second one, with generated audio by default. The prompt is optional. Clips from 2 to 30 seconds at 480p, 720p or 1080p, with adaptive or fixed aspect ratio and an optional reasoning step for complex motion.
Parameters
Send either the canonical name or the native name, not both. Canonical names
promptoptional
resolutionoptional
aspect_ratiooptional
durationoptional
audiooptional
generate_audio
enable_prompt_expansionoptional
enable_thinkingoptional
seedoptional
start_image_urlrequired
image
end_image_urloptional
end_image
File parameters take a public https:// URL, a data: URI up to 10 MB, or the file_url of an upload. Files
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "alibaba/wan-3.0/image-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": "The fox leaps toward the fireflies and lands softly on the grass",
"image": "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"
}
}
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: Image to Video
For AI agents: this page as Markdown is at https://doitong.com/developers/models/alibaba/wan-3.0/image-to-video.md. All models and guides: https://doitong.com/developers/llms.txt