Tada TTS 1B
集成
模型 id
tada/1b/text-to-speech
# 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/tada/1b/text-to-speech?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
"prompt": "Hello from Doitong. This is a short test sentence."
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/tada/1b/text-to-speech?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
"prompt": "Hello from Doitong. This is a short test sentence."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
"prompt": "Hello from Doitong. This is a short test sentence.",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/tada/1b/text-to-speech", 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.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "tada/1b/text-to-speech",
"input": {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
"prompt": "Hello from Doitong. This is a short test sentence."
}
}
通过 Doitong API 调用 Tada TTS 1B 模型(tada/1b/text-to-speech)。智能体文档:https://doitong.com/zh/developers/models/tada/1b/text-to-speech.md
POST https://api.doitong.ru/v1/run/tada/1b/text-to-speech?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
"prompt": "Hello from Doitong. This is a short test sentence."
}
如果响应状态为 "queued" 或 "running",请轮询 GET https://api.doitong.ru/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.ru/v1/quote/tada/1b/text-to-speech,可在运行前返回确切价格。
此请求: $0.003 3 API 积分 · ≈ ₽0.32 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/tada/1b/text-to-speech?wait=20
报价 → $0.003
# 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/tada/1b/text-to-speech?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
"prompt": "Hello from Doitong. This is a short test sentence."
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/tada/1b/text-to-speech?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
"prompt": "Hello from Doitong. This is a short test sentence."
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
"prompt": "Hello from Doitong. This is a short test sentence.",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/tada/1b/text-to-speech", 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": "tada/1b/text-to-speech",
"input": {
"audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
"prompt": "Hello from Doitong. This is a short test sentence."
},
"wait_seconds": 20
}
}
}
关于 Tada TTS 1B
使用 `audio_url` 指定的参考音频中的声音朗读 `prompt` 文本。对于非英语音频,需要提供参考音频的 `transcript`。`language` 支持 en、ar、ch、de、es、fr、it、ja、pl 和 pt。可调节 `speed_up_factor`(0.5 到 2)、`temperature`、`top_p` 和 `num_inference_steps`;输出格式为 wav 或 mp3。
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
audio_url必填
audio
类型url · audio
以音频文件 URL 提供的声音克隆源,用于指定模型应复现其声音特征的说话人。
transcript可选
类型string
默认值
参考音频转录内容;对于英语以外语言的录音必须提供。英语仅内置自动转录。
prompt必填
类型string
以文本提供的语音内容;参考说话人提供用于渲染文本的声音。
language可选
类型enum
默认值en
enarchdeesfritjaplpt
文本对齐语言代码;使用英语以外的语言生成语音时,必须与合成语言对应。
num_extra_steps可选
类型integer
默认值0
0 – 50
额外的自回归步数,用于通过在提供的文本之后继续生成语音来添加尾部韵律或静音。
temperature可选
类型number
默认值0.6
≤ 2> 0
文本 token 采样温度:提高该值会增加输出多样性,0 或更低的值不被允许。
top_p可选
类型number
默认值0.9
0 – 1
用于生成文本的 Top-p(核)采样设置。
repetition_penalty可选
类型number
默认值1.1
1 – 2
生成输出时对 token 重复的惩罚。
acoustic_cfg_scale可选
类型number
默认值1.6
0 – 10
用于生成声学特征的无分类器指导强度。
noise_temperature可选
类型number
默认值0.9
0 – 2
流匹配扩散期间使用的噪声温度。
num_inference_steps可选
类型integer
默认值20
1 – 50
通过流匹配生成声学特征时使用的 ODE 求解器步数。
speed_up_factor可选
类型number
默认值1
0.5 – 2
语速倍数:低于 1.0 时生成语音变慢,高于 1.0 时变快。
output_format可选
类型enum
默认值wav
wavmp3
生成音频的文件格式。
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
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": "tada/1b/text-to-speech",
"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": 3,
"usd": "0.003",
"charged": 3,
"refunded": 0
},
"input": {
"audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
"prompt": "Hello from Doitong. This is a short test sentence."
},
"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,
"channels": 1,
"sample_rate": 1,
"bitrate": "string"
}
},
"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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/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, duration, channels, sample_rate, bitrate}包含合成语音的音频文件。
其他 Tada 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/tada/1b/text-to-speech.md. 所有模型和指南: https://doitong.com/developers/llms.txt