Scail 2
Integruoti
scail-2
# 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/scail-2?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",
"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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/scail-2?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"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/scail-2", 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/lt/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": "scail-2",
"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",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
}
Iškvieskite Scail 2 modelį (scail-2) per Doitong API. Dokumentacija agentams: https://doitong.com/lt/developers/models/scail-2.md
POST https://api.doitong.com/v1/run/scail-2?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",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
Jei atsakymo būsena yra "queued" arba "running", siųskite GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 užklausas, kol būsena taps "succeeded"; failai pateikiami outputs[].url. POST https://api.doitong.com/v1/quote/scail-2 su tuo pačiu turiniu grąžina tikslią kainą prieš paleidimą.
Failai kaip pavyzdyje: 2,00 $ 2 000 API kreditų jūsų failai išmatuojami prieš paleidimą Paleisti šiame puslapyje
Jūsų naujas API raktas. Jis rodomas tik dabar ir jau įrašytas kode bei toliau esančiame API rakto lauke. Saugokite jį paslaptyje: niekada nedėkite jo į kodą, kuris vykdomas naršyklėje.
Čia bus pirmasis jūsų rezultatas
Sukurkite užklausą toliau ir paleiskite ją naudodami savo API raktą. Išvestys nukopijuojamos į mūsų saugyklą ir saugomos neribotą laiką arba 7 dienos nemokamai.
Sukurti užklausą
Valdikliai sugeneruojami pagal modelio schemą. Keisdami juos atnaujinsite kodą ir kainą.
/run/scail-2?wait=20
kaina → 2,00 $
# 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/scail-2?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",
"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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/scail-2?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"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/scail-2", 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": "scail-2",
"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",
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
},
"wait_seconds": 20
}
}
}
Vykdyti šią užklausą
Jūsų raktas lieka šioje naršyklėje: jis siunčiamas tik į Doitong API ir išsaugomas (localStorage) tik pažymėjus Prisiminti. Gauti API raktą
Apie Scail 2
Priima nuorodinį veikėjo `image_url` ir valdantįjį `video_url`, kuriame rodomas žmogus, keli žmonės arba gyvūnas. `animation` režimu veikėjas atlieka valdančiojo vaizdo judesius, o `replacement` režimu pakeičia subjektą išlaikydamas sceną. Skiriamoji geba yra 512p arba 704p, o orientacija parenkama pagal vaizdą. `driving_type` gali naudoti tiesioginį viso proceso valdymą arba aiškų pozų skeletą.
Parametrai
Siųskite arba kanoninį, arba savąjį pavadinimą, bet ne abu. Kanoniniai pavadinimai
promptprivaloma
image_urlprivaloma
image
video_urlprivaloma
video
modeneprivalomas
driving_typeneprivalomas
subject_typeneprivalomas
resolutionneprivalomas
num_inference_stepsneprivalomas
guidance_scaleneprivalomas
shiftneprivalomas
seedneprivalomas
enable_safety_checkerneprivalomas
Failų parametrams reikia viešo https:// URL, ne didesnio nei 10 MB data: URI arba įkelto failo file_url. Failai
Išvestis
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "scail-2",
"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": 2000,
"usd": "2.00",
"charged": 2000,
"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",
"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
},
"seed": 42,
"preprocessing_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
},
"preprocessing_mask_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
}
},
"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"
}
}
Išvesties laukai
- video
- object {url, content_type, file_name, file_size}Generuojant sukurtas vaizdo įrašo failas.
- seed
- integerVaizdo įrašo generavimui naudojama pradinė reikšmė.
- preprocessing_video
- object {url, content_type, file_name, file_size} | nullDerinimo vaizdo įrašas su Stage-A pozos sąlygojimo įvestimi, pateikta difuzijos modeliui; galimas tik su `output_preprocessing=true`. Turinys priklauso nuo `driving_type`: `end_to_end` naudoja SAM3 užmaskuotą valdomąją medžiagą, o `driving_type=pose` – NLF/DWPose atvaizduotą skeletą.
- preprocessing_mask_video
- object {url, content_type, file_name, file_size} | nullStage-A valdomosios kaukės vaizdo įrašas derinimui; galimas tik su `output_preprocessing=true`.
Daugiau modelių: Vaizdo įrašas į vaizdo įrašą
AI agentams: šis puslapis Markdown formatu pateikiamas adresu https://doitong.com/lt/developers/models/scail-2.md. Visi modeliai ir vadovai: https://doitong.com/developers/llms.txt