Wan 2.2 VACE Fun A14B · Depth
Integrieren
wan-22-vace-fun-a14b/depth
# 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-22-vace-fun-a14b/depth?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan-22-vace-fun-a14b/depth?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/wan-22-vace-fun-a14b/depth", 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/de/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-22-vace-fun-a14b/depth",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
}
Rufe das Modell Wan 2.2 VACE Fun A14B · Depth (wan-22-vace-fun-a14b/depth) über die Doitong API auf. Dokumentation für Agenten: https://doitong.com/de/developers/models/wan-22-vace-fun-a14b/depth.md
POST https://api.doitong.com/v1/run/wan-22-vace-fun-a14b/depth?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
Wenn der Antwortstatus "queued" oder "running" lautet, frage GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 ab, bis er "succeeded" lautet; die Dateien befinden sich in outputs[].url. POST https://api.doitong.com/v1/quote/wan-22-vace-fun-a14b/depth mit demselben Body gibt den exakten Preis vor der Ausführung zurück.
Dateien wie das Beispiel: 0,507 $ 507 API-Credits Deine Dateien werden vor der Ausführung gemessen Auf dieser Seite ausführen
Dein neuer API-Schlüssel. Sie wird nur jetzt angezeigt und befindet sich bereits im Code und im untenstehenden API-Schlüssel-Feld. Halten Sie sie geheim: Fügen Sie sie niemals in Code ein, der in einem Browser ausgeführt wird.
Auf Doitong erstellt
Öffentliche Werke der Doitong-Community mit Wan 2.2 VACE Fun A14B. Verwende einen Prompt mit einem Klick erneut.
Video
Create a highly realistic UGC-style smartphone video inside a modern commercial airplane during a daytime flight. Natural cabin lighting, subtle handheld camera movement, authentic airplane ambience, realistic passengers and natural acting. The video must feel like a real spontaneous phone...
Video
**SORA 2 PROMPT — 20 seconds, vertical 9:16** Create a highly realistic UGC-style smartphone video inside a modern commercial airplane during a daytime flight. Natural cabin lighting, subtle handheld camera movement, authentic airplane ambience, realistic passengers and natural acting. The video...
Video
Create a realistic cinematic 20-second video, filmed like a high-budget modern commercial with natural acting, realistic lighting and believable facial expressions. All dialogue is spoken naturally in French. **SCENE 1 — EXPENSIVE RESTAURANT, EVENING — 0–5 sec** A young man in his late 20s is...
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
TITLE: Santa's Secret Christmas Selfie with Dasha 🎄 VIDEO FORMAT: 15–20 seconds, vertical 9:16, cinematic Christmas short film, high-quality realistic 3D animation. REFERENCE IMAGE — DASHA_001 Use the uploaded image as the exact character reference for Dasha. Preserve her recognizable face,...
Anfrage erstellen
Die Steuerelemente werden aus dem Modellschema generiert. Code und Preis werden aktualisiert, während du sie änderst.
/run/wan-22-vace-fun-a14b/depth?wait=20
Preis → 0,507 $
# 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-22-vace-fun-a14b/depth?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan-22-vace-fun-a14b/depth?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/wan-22-vace-fun-a14b/depth", 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-22-vace-fun-a14b/depth",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
},
"wait_seconds": 20
}
}
}
Diese Anfrage ausführen
Dein Schlüssel bleibt in diesem Browser: Er wird nur an die Doitong API gesendet und nur gespeichert (localStorage), wenn du „Merken“ aktivierst. API-Schlüssel abrufen
Über Wan 2.2 VACE Fun A14B · Depth
Verwendet ein Quellvideo über `video_url` und einen Text-`prompt` und erzeugt ein neues Video, das durch die Tiefe des Quellvideos gesteuert wird. Optionale Referenzbilder sowie ein erstes und letztes Bild können das Ergebnis beeinflussen. `num_frames` reicht von 17 bis 241, `resolution` von 240p bis 720p, und das Seitenverhältnis ist auto, 16:9, 1:1 oder 9:16. Sampler, Frame-Interpolation und ein optionales Frames-ZIP sind verfügbar.
Parameter
Sende entweder den kanonischen Namen oder den nativen Namen, nicht beide. Kanonische Namen
prompterforderlich
negative_promptoptional
match_input_num_framesoptional
num_framesoptional
match_input_frames_per_secondoptional
frames_per_secondoptional
seedoptional
resolutionoptional
aspect_ratiooptional
num_inference_stepsoptional
guidance_scaleoptional
sampleroptional
shiftoptional
video_urlerforderlich
video
ref_image_urlsoptional
first_frame_urloptional
image
last_frame_urloptional
end_image
enable_safety_checkeroptional
enable_prompt_expansionoptional
preprocessoptional
accelerationoptional
video_qualityoptional
video_write_modeoptional
num_interpolated_framesoptional
temporal_downsample_factoroptional
enable_auto_downsampleoptional
auto_downsample_min_fpsoptional
interpolator_modeloptional
transparency_modeoptional
return_frames_zipoptional
Dateiparameter akzeptieren eine öffentliche https://-URL, eine data:-URI bis 10 MB oder die file_url eines Uploads. Dateien
Ausgabe
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "wan-22-vace-fun-a14b/depth",
"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": 507,
"usd": "0.507",
"charged": 507,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
},
"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
},
"prompt": "string",
"seed": 42,
"frames_zip": {
"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
}
},
"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"
}
}
Ausgabefelder
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}Vom Modell erzeugte Tiefenvideodatei.
- prompt
- stringZur Generierung der Ausgabe verwendeter Prompt.
- seed
- integerWährend der Generierung angewendeter Seed-Wert.
- frames_zip
- object {url, content_type, file_name, file_size} | nullZIP-Archiv mit jedem Video-Frame, das auf Anfrage zurückgegeben wird.
Weitere Wan 2.2 VACE Fun A14B-Varianten
Weitere Modelle: Video zu Video
Für KI-Agenten: Diese Seite ist als Markdown verfügbar unter https://doitong.com/de/developers/models/wan-22-vace-fun-a14b/depth.md. Alle Modelle und Anleitungen: https://doitong.com/developers/llms.txt