Live Portrait
集成
模型 id
live-portrait
# 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/live-portrait?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",
"image": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/live-portrait?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"image": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"image": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/live-portrait", 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/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": "live-portrait",
"input": {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"image": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg"
}
}
通过 Doitong API 调用 Live Portrait 模型(live-portrait)。智能体文档:https://doitong.com/zh/developers/models/live-portrait.md
POST https://api.doitong.com/v1/run/live-portrait?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"image": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg"
}
如果响应状态为 "queued" 或 "running",请轮询 GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20,直到状态变为 "succeeded";文件位于 outputs[].url。使用相同请求体 POST https://api.doitong.com/v1/quote/live-portrait,可在运行前返回确切价格。
每次运行最高 $4.50 按实际用量计费,剩余部分退款 在此页面运行
你的新 API 密钥。 它仅在此时显示,并且已填入下方的代码和 API 密钥字段中。请妥善保密:切勿将其放入在浏览器中运行的代码。
构建请求
控件根据模型架构生成。更改控件时,代码和价格会同步更新。
POST
/run/live-portrait?wait=20
报价 → $4.50
# 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/live-portrait?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",
"image": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/live-portrait?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"image": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"image": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/live-portrait", 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": "live-portrait",
"input": {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"image": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg"
},
"wait_seconds": 20
}
}
}
关于 Live Portrait
将驱动视频中的面部动作转移到静态肖像上,生成视频。除 `video_url` 和 `image_url` 外,还提供眨眼、眉毛、眨眼单眼、瞳孔、嘴型(aaa、eee、woo)、微笑以及头部 pitch、yaw 和 roll 旋转等数值控制。支持 `flag_do_crop` 和 `flag_pasteback` 等裁剪与拼接选项,`dsize` 设置输出尺寸(默认 512)。
参数
发送规范名称或原生名称之一,不要同时发送两者。 规范名称
名称类型
默认值允许值
描述
video_url必填
video
类型url · video
用于驱动唇部同步的视频 URL。
image_url必填
image
类型url · image
用于动画的图像 URL。
blink可选
类型number
默认值0
-30 – 30
眨眼程度。
eyebrow可选
类型number
默认值0
-30 – 30
眉毛抬起或下压的程度。
wink可选
类型number
默认值0
0 – 25
眨单眼的程度。
pupil_x可选
类型number
默认值0
-45 – 45
瞳孔水平移动量。
pupil_y可选
类型number
默认值0
-45 – 45
瞳孔垂直移动量。
aaa可选
类型number
默认值0
-200 – 200
嘴巴张成 'aaa' 形状的程度。
eee可选
类型number
默认值0
-40 – 40
嘴巴形成 'eee' 位置的程度。
woo可选
类型number
默认值0
-100 – 100
嘴巴形成 'woo' 位置的程度。
smile可选
类型number
默认值0
-2 – 2
微笑程度。
flag_lip_zero可选
类型boolean
默认值true
动画前闭唇,仅适用于 flag_eye_retargeting 和 flag_lip_retargeting 均设置为 False 的情况。
rotate_pitch可选
类型number
默认值0
-45 – 45
面部沿俯仰轴的旋转量。
rotate_yaw可选
类型number
默认值0
-45 – 45
面部沿偏航轴的旋转量。
rotate_roll可选
类型number
默认值0
-45 – 45
面部沿滚转轴的旋转量。
flag_eye_retargeting可选
类型boolean
默认值false
眼睛重定向开关。
flag_lip_retargeting可选
类型boolean
默认值false
嘴唇重定向开关。
flag_stitching可选
类型boolean
默认值true
拼接开关;建议启用。
flag_relative可选
类型boolean
默认值true
相对运动开关。
flag_pasteback可选
类型boolean
默认值true
回贴/拼接选项,将动画人脸裁剪区域放回原始图像,并将其从人脸裁剪坐标映射出去。
flag_do_crop可选
类型boolean
默认值true
控制是否将源肖像裁剪到人脸裁剪坐标空间。
flag_do_rot可选
类型boolean
默认值true
控制 flag_do_crop 为 true 时是否执行旋转。
dsize可选
类型integer
默认值512
结果图像的尺寸。
scale可选
类型number
默认值2.3
应用于人脸裁剪区域的缩放倍数。
vx_ratio可选
类型number
默认值0
控制人脸裁剪区域水平偏移的比例。
vy_ratio可选
类型number
默认值-0.125
人脸裁剪区域垂直位置比例:符号决定方向,正值向上,负值向下。
batch_size可选
类型integer
默认值32
模型批大小,涉及速度与内存的权衡:增大该值会使用更多内存,但执行速度更快。
enable_safety_checker可选
类型boolean
默认值false
控制是否启用安全检查。启用时,检查器会在模型处理前处理输入图像,以确认其中包含人脸。
必填
规范名称,也可接受
文件参数接受公开的 https:// URL、最大 10 MB 的 data: URI,或上传文件的 file_url。 文件
输出
GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "live-portrait",
"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": 4500,
"usd": "4.50",
"charged": 4500,
"refunded": 0
},
"input": {
"video_url": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.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
}
},
"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"
}
}
你的文件,由你选择每个 outputs[].url 都是存储中的副本:可永久保存(按 GB-月付费),也可免费保存 7 天,由账户设置或 ?storage= 决定。
每个模型的结构相同图像、视频和音频均包含 type、url、content_type、width、height 和 duration。output 是模型自身的结果对象。
输出字段
- video
- object {url, content_type, file_name, file_size}生成得到的视频文件。
其他 Live Portrait 变体
更多模型:唇形同步与数字人
对于 AI 代理:此页面的 Markdown 版本位于 https://doitong.com/zh/developers/models/live-portrait.md. 所有模型和指南: https://doitong.com/developers/llms.txt