Wan 2.1 VACE Long Reframe
整合
模型 id
wan-vace-apps/long-reframe
# 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-vace-apps/long-reframe?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan-vace-apps/long-reframe?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"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-vace-apps/long-reframe", 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/zh-TW/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-vace-apps/long-reframe",
"input": {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
}
透過 Doitong API 呼叫 Wan 2.1 VACE Long Reframe 模型(wan-vace-apps/long-reframe)。代理程式文件:https://doitong.com/zh-TW/developers/models/wan-vace-apps/long-reframe.md
POST https://api.doitong.com/v1/run/wan-vace-apps/long-reframe?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}
如果回應狀態為 "queued" 或 "running",請輪詢 GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20,直到狀態變為 "succeeded";檔案位於 outputs[].url。使用相同主體傳送 POST https://api.doitong.com/v1/quote/wan-vace-apps/long-reframe,可在執行前取得確切價格。
像範例一樣的檔案: $0.40 400 API 點數 您的檔案會在執行前計量 在此頁面執行
您的新 API 金鑰。 僅會在此時顯示,且已填入下方的程式碼與 API 金鑰欄位。請妥善保密:切勿將其放入在瀏覽器中執行的程式碼。
建立請求
控制項是根據模型結構描述生成的。變更設定時,程式碼和價格會同步更新。
POST
/run/wan-vace-apps/long-reframe?wait=20
報價 → $0.40
# 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-vace-apps/long-reframe?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wan-vace-apps/long-reframe?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"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-vace-apps/long-reframe", 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-vace-apps/long-reframe",
"input": {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4"
},
"wait_seconds": 20
}
}
}
關於 Wan 2.1 VACE Long Reframe
專為較長片段打造:偵測場景、逐一重新構圖,並可透過 `paste_back` 將結果貼回原始影片。`scene_threshold`(0 到 100)設定偵測敏感度,數值越低會找到越多場景。預設啟用自動降採樣。另提供 `zoom_factor`、`trim_borders`、長寬比與 240p 到 720p 的 `resolution`。
參數
請傳送標準名稱或原生名稱其中之一,不要同時傳送兩者。 標準名稱
名稱類型
預設值允許值
說明
prompt選填
類型string
預設值
引導影片生成的文字指示;重新取景時可選填。
negative_prompt選填
類型string
預設值letterboxing, borders, black bars, bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards
生成影片時套用的負面提示詞。
seed選填
類型integer | null
使生成結果可重現的種子。設為 None 會隨機選擇種子。
resolution選填
類型enum
預設值auto
auto240p360p480p580p720p
輸出影片的解析度。
aspect_ratio選填
類型enum
預設值auto
auto16:91:19:16
生成影片的長寬比。
num_inference_steps選填
類型integer
預設值30
2 – 50
取樣步數;步數越多,處理時間越長但品質越好。
guidance_scale選填
類型number
預設值5
1 – 10
透過無分類器引導控制的提示詞對齊強度;提高此比例會促使生成圖像更貼近文字描述。
sampler選填
類型enum
預設值unipc
unipcdpm++euler
生成影片時使用的取樣器。
shift選填
類型number
預設值5
1 – 15
生成影片時套用的偏移設定。
video_url必填
video
類型url · video
重新取景參考,透過 URL 指向來源影片檔案。
enable_safety_checker選填
類型boolean
預設值false
安全檢查開關;關閉設定需要帳戶授權。沒有該授權時,每個請求都會經過檢查,不受設定影響;true 會啟用檢查器。
acceleration選填
類型enum
預設值regular
nonelowregular
推論加速設定,可選 'none' 或 'regular':加速處理可大幅提升速度,但會造成非常輕微的輸出變化。
video_quality選填
類型enum
預設值high
lowmediumhighmaximum
結果影片的品質等級。
video_write_mode選填
類型enum
預設值balanced
fastbalancedsmall
結果影片的寫入模式。
enable_auto_downsample選填
類型boolean
預設值true
自動降採樣開關。
auto_downsample_min_fps選填
類型number
預設值6
1 – 60
自動降採樣的最低影格速率,單位為 FPS。
interpolator_model選填
類型enum
預設值film
rifefilm
影格插值模型選擇:'rife' 或 'film'。
transparency_mode選填
類型enum
預設值content_aware
content_awarewhiteblack
起始和結束影格的透明度處理方式,決定如何填補其透明區域。
return_frames_zip選填
類型boolean
預設值false
控制是否同時回傳包含所有生成影格的 ZIP 封存檔;為 true 時啟用。
zoom_factor選填
類型number
預設值0
0 – 0.9
將影片縮放設為 0 可保持不變。正值會依該倍數相對於畫布放大影片,並裁切外圍邊緣。
trim_borders選填
類型boolean
預設值true
控制是否裁切影片邊界。
scene_threshold選填
類型number
預設值30
0 – 100
場景偵測閾值:降低此值會增加偵測到的場景數量。接受 0 到 100 的值。
paste_back選填
類型boolean
預設值true
控制是否將重新構圖的場景貼回原始影片。
必填
標準名稱,也可使用
檔案參數接受公開的 https:// URL、最大 10 MB 的 data: URI,或上傳檔案的 file_url。 檔案
輸出
GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "wan-vace-apps/long-reframe",
"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": 400,
"usd": "0.40",
"charged": 400,
"refunded": 0
},
"input": {
"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
}
},
"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"
}
}
您的檔案,由您選擇每個 outputs[].url 都是儲存空間中的副本:可永久保留(按 GB-月計費),或免費保留 7 天;可透過帳戶設定或 ?storage= 設定。
所有模型使用相同結構圖片、影片和音訊皆包含 type、url、content_type、width、height 和 duration。output 是模型自己的結果物件。
輸出欄位
- video
- object {url, content_type, file_name, file_size, width, height, fps, duration, num_frames}生成的影片檔案。
其他 Wan VACE Apps 變體
更多模型:影片轉影片
給 AI 代理程式:此頁面的 Markdown 位於 https://doitong.com/zh-TW/developers/models/wan-vace-apps/long-reframe.md. 所有模型與指南: https://doitong.com/developers/llms.txt