Wan 2.5 Image to Video
Integracja
wan-25-preview/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.ru/v1/run/wan-25-preview/image-to-video?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",
"image": "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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan-25-preview/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/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",
"image": "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/wan-25-preview/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/pl/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "wan-25-preview/image-to-video",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
}
Wywołaj model Wan 2.5 Image to Video (wan-25-preview/image-to-video) za pośrednictwem Doitong API. Dokumentacja dla agentów: https://doitong.com/pl/developers/models/wan-25-preview/image-to-video.md
POST https://api.doitong.ru/v1/run/wan-25-preview/image-to-video?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",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
Jeśli status odpowiedzi to "queued" lub "running", odpytuj GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20, aż status zmieni się na "succeeded"; pliki znajdują się w outputs[].url. POST https://api.doitong.ru/v1/quote/wan-25-preview/image-to-video z tym samym ciałem zwraca dokładną cenę przed uruchomieniem.
To żądanie: 0,75 $ 750 kredytów API · ≈ 80,68 ₽ Uruchom na tej stronie
Twój nowy klucz API. Jest wyświetlany tylko teraz i znajduje się już w kodzie oraz w polu klucza API poniżej. Zachowaj go w tajemnicy: nigdy nie umieszczaj go w kodzie uruchamianym w przeglądarce.
Utworzone w Doitong
Publiczne prace utworzone za pomocą Wan 2.5 przez społeczność Doitong. Użyj ponownie promptu jednym kliknięciem.
Wideo
Создай 30-секундный обучающий музыкальный ролик для детей 3–5 лет. Тема: транспорт. Яркая 2D-анимация, весёлый водитель в кепке, крупные машины, пастельные цвета. 0:00–0:10 приветствие под музыку; 0:10–0:30 песенка: "Машина едет би-би, би-би", "Поезд едет ту-ту, ту-ту". Бодрая детская музыка...
Wideo
Создай 30-секундный обучающий музыкальный ролик для детей 3–5 лет. Тема: транспорт. Яркая 2D-анимация, тот же весёлый водитель в кепке, самолёт. 0:00–0:15 песенка: "Самолёт летит вж-ж-ж, вж-ж-ж"; 0:15–0:25 интерактивная пауза: водитель спрашивает "Как гудит машина?", пауза; 0:25–0:30 финальный...
Zbuduj żądanie
Elementy sterujące są generowane ze schematu modelu. Kod i cena aktualizują się podczas ich zmiany.
/run/wan-25-preview/image-to-video?wait=20
wycena → 0,75 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/wan-25-preview/image-to-video?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",
"image": "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.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan-25-preview/image-to-video?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/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",
"image": "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/wan-25-preview/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-25-preview/image-to-video",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"wait_seconds": 20
}
}
}
Uruchom to żądanie
Klucz pozostaje w tej przeglądarce: jest wysyłany tylko do Doitong API i zapisywany (localStorage) tylko po zaznaczeniu opcji Zapamiętaj. Uzyskaj klucz API
Informacje o Wan 2.5 Image to Video
Animuje nieruchomy obraz podany w `image_url`, używany jako pierwsza klatka, zgodnie z opisującym ruch `prompt` o długości do 1500 znaków. Wybierz 480p, 720p lub 1080p oraz `duration` o wartości 5 lub 10 sekund. Opcjonalny `audio_url` dostarcza ścieżkę dźwiękową, która zostanie przycięta, jeśli będzie dłuższa niż klip. Obsługiwane są rozwijanie promptu, prompt negatywny i ziarno.
Parametry
Wyślij nazwę kanoniczną albo natywną, nie obie. Nazwy kanoniczne
promptwymagane
image_urlwymagane
image
audio_urlopcjonalne
audio
resolutionopcjonalne
durationopcjonalne
negative_promptopcjonalne
enable_prompt_expansionopcjonalne
seedopcjonalne
enable_safety_checkeropcjonalne
Parametry plików przyjmują publiczny URL https://, identyfikator URI data: do 10 MB albo file_url przesłanego pliku. Pliki
Wynik
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "wan-25-preview/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": 750,
"usd": "0.75",
"charged": 750,
"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,
"width": 1024,
"height": 768,
"fps": 1.0,
"duration": 5,
"num_frames": 1
},
"seed": 42,
"actual_prompt": "The white dragon warrior stands still in a grand cathedral-like structure, its glowing golden eyes fixed forward. The camera slowly moves closer, focusing on the warrior's armored chest and face. It then begins to circle around the warrior, capturing the intricate details of the white scale armor with gold accents. The warrior maintains a strong, determined posture. Ambient sounds and soft choral tones fill the background, enhancing the majestic atmosphere. The camera continues its slow circular motion, emphasizing the warrior's heroic presence before ending with a close-up of the face."
},
"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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Pola wyniku
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}Wynikowy plik wideo.
- seed
- integerWartość ziarna używana podczas generowania.
- actual_prompt
- string | nullPrompt faktycznie użyty, gdy przepisywanie jest włączone.
Inne warianty Wan 2.5
Więcej modeli: Obraz na wideo
Dla agentów AI: ta strona w formacie Markdown jest dostępna pod adresem https://doitong.com/pl/developers/models/wan-25-preview/image-to-video.md. Wszystkie modele i przewodniki: https://doitong.com/developers/llms.txt