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wan/v2.2-a14b/image-to-image
# 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-image?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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan/v2.2-a14b/image-to-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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-image", 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/v2.2-a14b/image-to-image",
"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"
}
}
Rufe das Modell Wan · v2.2 A14b · Image to Image (wan/v2.2-a14b/image-to-image) über die Doitong API auf. Dokumentation für Agenten: https://doitong.com/de/developers/models/wan/v2.2-a14b/image-to-image.md
POST https://api.doitong.com/v1/run/wan/v2.2-a14b/image-to-image?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"
}
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/v2.2-a14b/image-to-image mit demselben Body gibt den exakten Preis vor der Ausführung zurück.
Diese Anfrage: 0,05 $ 50 API-Credits 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.
Öffentliche Werke der Doitong-Community mit Wan v2.2 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,...
Die Steuerelemente werden aus dem Modellschema generiert. Code und Preis werden aktualisiert, während du sie änderst.
/run/wan/v2.2-a14b/image-to-image?wait=20
Preis → 0,05 $
# 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-image?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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan/v2.2-a14b/image-to-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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-image", 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-image",
"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
}
}
}
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
Bearbeitet ein Eingabebild (`image_url`) anhand eines Text-`prompt`. `strength` von 0 bis 1 bestimmt, wie stark das Bild neu erzeugt wird: 1 bedeutet eine vollständige Neugenerierung, 0 bewahrt das Original. Das Seitenverhältnis kann automatisch der Eingabe folgen oder 16:9, 9:16 oder 1:1 sein. Zwei Guidance-Skalen decken die beiden Stufen ab, und die Ausgabe ist png oder jpeg.
Sende entweder den kanonischen Namen oder den nativen Namen, nicht beide. Kanonische Namen
image_urlerforderlich
image
prompterforderlich
strengthoptional
negative_promptoptional
seedoptional
aspect_ratiooptional
num_inference_stepsoptional
enable_safety_checkeroptional
enable_output_safety_checkeroptional
enable_prompt_expansionoptional
accelerationoptional
guidance_scaleoptional
guidance_scale_2optional
shiftoptional
image_sizeoptional
image_formatoptional
Dateiparameter akzeptieren eine öffentliche https://-URL, eine data:-URI bis 10 MB oder die file_url eines Uploads. Dateien
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "wan/v2.2-a14b/image-to-image",
"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": 50,
"usd": "0.05",
"charged": 50,
"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": {
"image": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"prompt": "A cinematic portrait of a woman in natural light, 85mm look.",
"seed": 42
},
"outputs": [
{
"type": "image",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768,
"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"
}
}
Für KI-Agenten: Diese Seite ist als Markdown verfügbar unter https://doitong.com/de/developers/models/wan/v2.2-a14b/image-to-image.md. Alle Modelle und Anleitungen: https://doitong.com/developers/llms.txt