MMAudio V2
集成
模型 id
mmaudio-v2
# 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/mmaudio-v2?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"video": "https://content.doitong.com/dev-api/2026/10/21/req_qicb9wfr7rqfo46hqcxollq6/0-QQGxyL6x8ywkCEWdZ94UY_YyJVjs3R.mp4",
"prompt": "Gentle waves lapping against a wooden boat, oars creaking, seagulls calling in the distance, light wind",
"duration": 5
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/mmaudio-v2?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"video": "https://content.doitong.com/dev-api/2026/10/21/req_qicb9wfr7rqfo46hqcxollq6/0-QQGxyL6x8ywkCEWdZ94UY_YyJVjs3R.mp4",
"prompt": "Gentle waves lapping against a wooden boat, oars creaking, seagulls calling in the distance, light wind",
"duration": 5
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"video": "https://content.doitong.com/dev-api/2026/10/21/req_qicb9wfr7rqfo46hqcxollq6/0-QQGxyL6x8ywkCEWdZ94UY_YyJVjs3R.mp4",
"prompt": "Gentle waves lapping against a wooden boat, oars creaking, seagulls calling in the distance, light wind",
"duration": 5,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/mmaudio-v2", 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": "mmaudio-v2",
"input": {
"video": "https://content.doitong.com/dev-api/2026/10/21/req_qicb9wfr7rqfo46hqcxollq6/0-QQGxyL6x8ywkCEWdZ94UY_YyJVjs3R.mp4",
"prompt": "Gentle waves lapping against a wooden boat, oars creaking, seagulls calling in the distance, light wind",
"duration": 5
}
}
通过 Doitong API 调用 MMAudio V2 模型(mmaudio-v2)。智能体文档:https://doitong.com/zh/developers/models/mmaudio-v2.md
POST https://api.doitong.ru/v1/run/mmaudio-v2?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"video": "https://content.doitong.com/dev-api/2026/10/21/req_qicb9wfr7rqfo46hqcxollq6/0-QQGxyL6x8ywkCEWdZ94UY_YyJVjs3R.mp4",
"prompt": "Gentle waves lapping against a wooden boat, oars creaking, seagulls calling in the distance, light wind",
"duration": 5
}
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/mmaudio-v2,可在运行前返回确切价格。
此请求: $0.005 5 API 积分 · ≈ ₽0.53 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。
示例
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/mmaudio-v2?wait=20
报价 → $0.005
# 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/mmaudio-v2?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"video": "https://content.doitong.com/dev-api/2026/10/21/req_qicb9wfr7rqfo46hqcxollq6/0-QQGxyL6x8ywkCEWdZ94UY_YyJVjs3R.mp4",
"prompt": "Gentle waves lapping against a wooden boat, oars creaking, seagulls calling in the distance, light wind",
"duration": 5
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/mmaudio-v2?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"video": "https://content.doitong.com/dev-api/2026/10/21/req_qicb9wfr7rqfo46hqcxollq6/0-QQGxyL6x8ywkCEWdZ94UY_YyJVjs3R.mp4",
"prompt": "Gentle waves lapping against a wooden boat, oars creaking, seagulls calling in the distance, light wind",
"duration": 5
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"video": "https://content.doitong.com/dev-api/2026/10/21/req_qicb9wfr7rqfo46hqcxollq6/0-QQGxyL6x8ywkCEWdZ94UY_YyJVjs3R.mp4",
"prompt": "Gentle waves lapping against a wooden boat, oars creaking, seagulls calling in the distance, light wind",
"duration": 5,
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/mmaudio-v2", 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": "mmaudio-v2",
"input": {
"video": "https://content.doitong.com/dev-api/2026/10/21/req_qicb9wfr7rqfo46hqcxollq6/0-QQGxyL6x8ywkCEWdZ94UY_YyJVjs3R.mp4",
"prompt": "Gentle waves lapping against a wooden boat, oars creaking, seagulls calling in the distance, light wind",
"duration": 5
},
"wait_seconds": 20
}
}
}
关于 MMAudio V2
MMAudio V2 会分析视频并生成匹配的音频:节拍同步的脚步声、泼水声、引擎声、人群声和房间环境声,并由你的提示词及可选负面提示词引导。生成 1 到 30 秒的音频,并返回带新配乐的视频。
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
作为音频生成来源的视频 URL。
prompt必填
类型string
描述要创建的音频的提示词。
negative_prompt可选
类型string
默认值
指定音频生成过程中要排除内容的负面提示词。
seed可选
类型integer | null
0 – 65,535
随机数生成器使用的种子值。
num_steps可选
类型integer
默认值25
4 – 50
音频生成使用的步数。
duration可选
类型number
默认值8
1 – 30
生成音频的长度。
cfg_strength可选
类型number
默认值4.5
0 – 20
Classifier Free Guidance 强度。
mask_away_clip可选
类型boolean
默认值false
控制是否将片段遮蔽。
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": "mmaudio-v2",
"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": 5,
"usd": "0.005",
"charged": 5,
"refunded": 0
},
"input": {
"video": "https://content.doitong.com/video/showcase/v3/gen_fox_cartoon.mp4",
"prompt": "Night forest ambience, soft paws running on grass, crickets, gentle magical chimes",
"duration": 6
},
"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.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
- video
- object {url, content_type, file_name, file_size}包含同步唇部动作的输出视频。
其他 MMAudio V2 变体
更多模型:音频
对于 AI 代理:此页面的 Markdown 版本位于 https://doitong.com/zh/developers/models/mmaudio-v2.md. 所有模型和指南: https://doitong.com/developers/llms.txt