音频
VibeVoice 7B
集成
模型 id
vibevoice/7b
# 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/vibevoice/7b?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"script": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"speakers": [
{
"preset": "Frank [EN]"
},
{
"preset": "Carter [EN]"
}
]
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/vibevoice/7b?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"script": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"speakers": [
{
"preset": "Frank [EN]"
},
{
"preset": "Carter [EN]"
}
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"script": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"speakers": [
{
"preset": "Frank [EN]",
},
{
"preset": "Carter [EN]",
},
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/vibevoice/7b", 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": "vibevoice/7b",
"input": {
"script": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"speakers": [
{
"preset": "Frank [EN]"
},
{
"preset": "Carter [EN]"
}
]
}
}
通过 Doitong API 调用 VibeVoice 7B 模型(vibevoice/7b)。智能体文档:https://doitong.com/zh/developers/models/vibevoice/7b.md
POST https://api.doitong.com/v1/run/vibevoice/7b?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"script": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"speakers": [
{
"preset": "Frank [EN]"
},
{
"preset": "Carter [EN]"
}
]
}
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/vibevoice/7b,可在运行前返回确切价格。
此请求: ≈$0.04 40 API 积分 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/vibevoice/7b?wait=20
报价 → $0.04
# 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/vibevoice/7b?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"script": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"speakers": [
{
"preset": "Frank [EN]"
},
{
"preset": "Carter [EN]"
}
]
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/vibevoice/7b?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"script": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"speakers": [
{
"preset": "Frank [EN]"
},
{
"preset": "Carter [EN]"
}
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"script": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"speakers": [
{
"preset": "Frank [EN]",
},
{
"preset": "Carter [EN]",
},
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/vibevoice/7b", 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": "vibevoice/7b",
"input": {
"script": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"speakers": [
{
"preset": "Frank [EN]"
},
{
"preset": "Carter [EN]"
}
]
},
"wait_seconds": 20
}
}
}
关于 VibeVoice 7B
将最多 30000 个字符的 `script` 转换为语音,对话使用 'Speaker X:' 前缀,必需的 `speakers` 列表定义声音。`cfg_scale` 范围为 1 至 2,`seed` 用于生成可复现的输出。这是该系列的 7B 版本,文本限制短于 1.5B 模型。
参数
名称类型
默认值允许值
描述
script必填
类型string
≤ 30,000 个字符
语音输入脚本,可选用 'Speaker X:' 标签区分对话中的说话人。
speakers必填
类型object[]
系统会根据脚本或提供的语音样本自动推断说话人;提供列表可显式指定说话人。
speakers[].preset可选
类型enum
默认值Alice [EN]
Alice [EN]Carter [EN]Frank [EN]Mary [EN] (Background Music)Maya [EN]Anchen [ZH] (Background Music)Bowen [ZH]Xinran [ZH]
没有 `audio_url` 的说话人的备用语音预设;提供该音频样本时,样本优先于预设。
speakers[].audio_url可选
类型url · audio
语音样本音频文件 URL;提供后会覆盖 `preset`。
seed可选
类型integer | null
使生成结果可复现的随机种子。
cfg_scale可选
类型number
默认值1.3
1 – 2
CFG(Classifier-Free Guidance)强度决定生成结果在多大程度上遵循文本;设置越高,遵循程度越强。
enable_safety_checker可选
类型boolean
默认值true
调用方获得授权后,可将其设置为 false 以放宽审核。
必填
输出
GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "vibevoice/7b",
"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": 40,
"usd": "0.04",
"charged": 40,
"refunded": 0
},
"input": {
"script": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"speakers": [
{
"preset": "Frank [EN]"
},
{
"preset": "Carter [EN]"
}
]
},
"output": {
"audio": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
"content_type": "audio/mpeg",
"file_name": "0-output.mp3",
"file_size": 1843200
},
"duration": 5,
"sample_rate": 24000,
"generation_time": 5.6,
"rtf": 0.53
},
"outputs": [
{
"type": "audio",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
"content_type": "audio/mpeg",
"file_size": 1843200,
"duration": 12,
"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
- audio
- object {url, content_type, file_name, file_size}包含合成语音的音频文件。
- duration
- number输出音频的长度,以秒为单位。
- sample_rate
- integer输出音频的采样率。
- generation_time
- number音频生成时间,以秒为单位。
- rtf
- number实时因子,计算方式为 generation_time 除以 audio_duration;数值越小表示性能越好。
其他 Vibevoice 变体
更多模型:文本转语音
对于 AI 代理:此页面的 Markdown 版本位于 https://doitong.com/zh/developers/models/vibevoice/7b.md. 所有模型和指南: https://doitong.com/developers/llms.txt