Wan v2.2 A14B
Integrere
wan/v2.2-a14b/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/wan/v2.2-a14b/image-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan/v2.2-a14b/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/wan/v2.2-a14b/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/se/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": "wan/v2.2-a14b/image-to-video",
"input": {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
}
Riŋge Wan v2.2 A14B-modeallii (wan/v2.2-a14b/image-to-video) Doitong API bokte. Dokumentašuvdna ageanttaide: https://doitong.com/se/developers/models/wan/v2.2-a14b/image-to-video.md
POST https://api.doitong.com/v1/run/wan/v2.2-a14b/image-to-video?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
Jus vástádusa status lea "queued" dahje "running", jeara GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 dassážii go dat lea "succeeded"; fiillat leat outputs[].url:s. POST https://api.doitong.com/v1/quote/wan/v2.2-a14b/image-to-video seamma boduin máksá dárkilis haddái ovdal vuodjámis.
Fiillat nugo ovdamearka: 0,405 $ 405 API-kreditta du fiillat mihtiduvvojit ovdal vuodjámis 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.
Ráhkaduvvon Doitongis
Doitong-bargosearvvi almmolaš barggut, ráhkaduvvon Wan v22 Large bokte. Geavat fas jearaldaga ovtta deaddilemiin.
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Ráhkat jearaldaga
Kontrollat ráhkaduvvojit modealla skeama vuođul. Koda ja haddi ođasmahttojuvvojit go rievddadat daid.
/run/wan/v2.2-a14b/image-to-video?wait=20
haddemearrádus → 0,405 $
# 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/wan/v2.2-a14b/image-to-video?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan/v2.2-a14b/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/wan/v2.2-a14b/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": "wan/v2.2-a14b/image-to-video",
"input": {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"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
Dát lea Wan v2.2 A14B birra
Rievdada ovtta `image_url`-a ja teavstaprompta videon, ja eaktodáhtolaš `end_image_url` sáhttá mearridit loahpparámma. Boahtos lea 480p, 580p dahje 720p, auto, 16:9, 9:16 dahje 1:1, 17 rájes 161 rámman ja 4 rájes 60 rámma sekundii. Sampling sáhttá heivehuvvot inferensalávkkiiguin, guokte stivrenmeariin, shift:ain, negative prompt:ain ja seed:ain. Rámma-interpoleren lea vejolaš film- dahje rife-válljejumiiguin.
Parametterat
Sádde kanonala nama dahje iežas nama, ii goappašiid. Kanonala namat
image_urlgáibiduvvo
image
promptgáibiduvvo
num_frameseaktodáhtolaš
frames_per_secondeaktodáhtolaš
negative_prompteaktodáhtolaš
seedeaktodáhtolaš
resolutioneaktodáhtolaš
aspect_ratioeaktodáhtolaš
num_inference_stepseaktodáhtolaš
enable_safety_checkereaktodáhtolaš
enable_output_safety_checkereaktodáhtolaš
enable_prompt_expansioneaktodáhtolaš
accelerationeaktodáhtolaš
guidance_scaleeaktodáhtolaš
guidance_scale_2eaktodáhtolaš
shifteaktodáhtolaš
interpolator_modeleaktodáhtolaš
num_interpolated_frameseaktodáhtolaš
adjust_fps_for_interpolationeaktodáhtolaš
video_qualityeaktodáhtolaš
video_write_modeeaktodáhtolaš
end_image_urleaktodáhtolaš
end_image
Fiilaparametterat váldet almmolaš https:// URL:a, data: URI:a gitta 10 MB, dahje uploada file_url:a. Fiillat
Boađus
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "wan/v2.2-a14b/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": 405,
"usd": "0.405",
"charged": 405,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"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
},
"prompt": "The white dragon warrior stands still, eyes full of determination and strength. The camera slowly moves closer or circles around the warrior, highlighting the powerful presence and heroic spirit of the character.",
"seed": 42
},
"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"
}
}
Outputa giettit
- video
- object {url, content_type, file_name, file_size}Ráhkadeami bokte buvttaduvvon videofiila.
- prompt
- stringTeakstabivdda geavahuvvon videoráhkadeapmái.
- seed
- integerRáhkadeamis geavahuvvon sádjiárvu.
Eará Wan v22 Large-variánttat
Eanet modeallat: Govas video
AI-agenttaide: dán siidu Markdowna lea dáppe https://doitong.com/se/developers/models/wan/v2.2-a14b/image-to-video.md. Buot modeallat ja ráđit: https://doitong.com/developers/llms.txt