minimax/music-2.6

文字转音频

MiniMax Music 2.6 API by MiniMax

minimax/music-2.6

Music-2.6

MiniMax text-to-music (latest): generate a full vocal or instrumental song from a style prompt plus lyrics with [Verse]/[Chorus] structure tags. Synchronous single-call generation.

输入

提示词 *

Lyrics

Is instrumental

Format

采样率

Bitrate

输出

空闲

生成的音频将显示在这里

输入文本并点击运行以合成语音。

参数

代码示例
import requests
import time

# Step 1: Start audio generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateAudio"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "minimax/music-2.6",  # Required. Model name. options: minimax/music-2.6
    "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",  # Required. Style / mood / genre / instrumentation description, e
    "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",  # Song lyrics
    "is_instrumental": False,  # Generate instrumental music only (no vocals)
    "format": "mp3",  # Output audio format. options: mp3 | wav | pcm
    "sample_rate": 44100,  # Output sample rate (Hz). options: 16000 | 24000 | 32000 | 44100
    "bitrate": 256000,  # Output bitrate (bps). options: 32000 | 64000 | 128000 | 256000
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated audio:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

audio_url = check_status()

安装

安装所需的依赖包。

pip install requests

认证

所有 API 请求需要通过 API Key 进行认证。您可以在 Atlas Cloud 控制台获取 API Key。

export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP 请求头

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

保护好您的 API Key

切勿在客户端代码或公开仓库中暴露您的 API Key。请使用环境变量或后端代理。

提交请求

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateAudio"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "text": "Hello, welcome to AtlasCloud text-to-speech."
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

提交请求

提交一个异步生成请求。API 返回一个 prediction ID，您可以用它来检查状态和获取结果。

POST/api/v1/model/generateAudio

请求体

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateAudio"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "minimax/music-2.6",
    "text": "Hello, welcome to AtlasCloud text-to-speech."
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}")

响应

{
  "code": 200,
  "data": {
    "id": "pred_abc123",
    "status": "processing",
    "model": "model-name",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

检查状态

轮询 prediction 端点以检查请求的当前状态。

GET/api/v1/model/prediction/{prediction_id}

轮询示例

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

状态值

processing请求仍在处理中。

completed生成完成，输出可用。

succeeded生成成功，输出可用。

failed生成失败，请检查 error 字段。

完成响应

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.mp3"
    ],
    "metrics": {
      "predict_time": 8.3
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Input Schema

以下参数在请求体中被接受。

总计: 7必填: 2可选: 5

modelstringrequired

Model name.

Default: "minimax/music-2.6"

minimax/music-2.6

promptstringrequired

Style / mood / genre / instrumentation description, e.g. "upbeat electronic pop, female vocal, energetic, catchy hook, 120bpm". Max 2000 chars.

Default: "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm"

lyricsstring

Song lyrics. Separate lines with a newline; use a blank line for a pause. Supports structure tags: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Max 3500 chars. Leave empty (with is_instrumental=true) for instrumental.

Default: "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came"

is_instrumentalboolean

Generate instrumental music only (no vocals).

Default: false

formatstring

Output audio format.

Default: "mp3"

mp3wavpcm

sample_rateinteger

Output sample rate (Hz).

Default: 44100

16000240003200044100

bitrateinteger

Output bitrate (bps).

Default: 256000

3200064000128000256000

请求体示例

{
  "model": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
  "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
  "is_instrumental": false,
  "format": "mp3",
  "sample_rate": 44100,
  "bitrate": 256000
}

Output Schema

API 返回包含生成输出 URL 的 prediction 响应。

created_atstring

ISO timestamp of when the request was created.

idstring

Unique identifier for the prediction.

modelstring

Model ID used for the prediction.

outputsarray

Array of URLs to the generated music.

statusstring

Status of the task: created, processing, completed, or failed.

响应示例

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.png"
  ],
  "metrics": {
    "predict_time": 8.3
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills 将 400+ AI 模型直接集成到您的 AI 编程助手中。一条命令安装，即可用自然语言生成图像、视频和与 LLM 对话。

支持的客户端

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ 支持的客户端

安装

npx skills add AtlasCloudAI/atlas-cloud-skills

设置 API Key

从 Atlas Cloud 控制台获取 API Key，并将其设置为环境变量。

export ATLASCLOUD_API_KEY="your-api-key-here"

功能

安装后，您可以在 AI 助手中使用自然语言访问所有 Atlas Cloud 模型。

图像生成使用 Nano Banana 2、Z-Image 等模型生成图像。

视频创作使用 Kling、Vidu、Veo 等模型从文本或图像创建视频。

LLM 对话与 Qwen、DeepSeek 等大语言模型对话。

媒体上传上传本地文件用于图像编辑和图生视频工作流。

MCP Server

Atlas Cloud MCP Server 通过 Model Context Protocol 将您的 IDE 与 400+ AI 模型连接。支持任何兼容 MCP 的客户端。

支持的客户端

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ 支持的客户端

安装

npx -y atlascloud-mcp

配置

将以下配置添加到您的 IDE 的 MCP 设置文件中。

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

可用工具

atlas_generate_image从文本提示生成图像。

atlas_generate_video从文本或图像创建视频。

atlas_chat与大语言模型对话。

atlas_list_models浏览 400+ 可用 AI 模型。

atlas_quick_generate一步式内容创建，自动选择最佳模型。

atlas_upload_media上传本地文件用于 API 工作流。

了解更多

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "info": {
    "title": "AtlasCloud API",
    "version": "1.0.0",
    "description": "The AtlasCloud API."
  },
  "openapi": "3.0.0",
  "paths": {
    "/api/v1/model/generateAudio": {
      "post": {
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          },
          "required": true
        },
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        }
      },
      "x-api-name": "model_run"
    },
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "required": true,
            "schema": {
              "description": "Request ID",
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        }
      },
      "x-api-name": "model_result"
    }
  },
  "components": {
    "schemas": {
      "Input": {
        "type": "object",
        "properties": {
          "model": {
            "type": "string",
            "description": "Model name.",
            "default": "minimax/music-2.6",
            "enum": [
              "minimax/music-2.6"
            ]
          },
          "prompt": {
            "type": "string",
            "description": "Style / mood / genre / instrumentation description, e.g. \"upbeat electronic pop, female vocal, energetic, catchy hook, 120bpm\". Max 2000 chars.",
            "default": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
            "x-ui-component": "textarea",
            "maxLength": 2000
          },
          "lyrics": {
            "type": "string",
            "description": "Song lyrics. Separate lines with a newline; use a blank line for a pause. Supports structure tags: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Max 3500 chars. Leave empty (with is_instrumental=true) for instrumental.",
            "default": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
            "x-ui-component": "textarea",
            "maxLength": 3500
          },
          "is_instrumental": {
            "type": "boolean",
            "description": "Generate instrumental music only (no vocals).",
            "default": false,
            "x-ui-component": "switch"
          },
          "format": {
            "type": "string",
            "description": "Output audio format.",
            "default": "mp3",
            "enum": [
              "mp3",
              "wav",
              "pcm"
            ],
            "x-ui-component": "select"
          },
          "sample_rate": {
            "type": "integer",
            "description": "Output sample rate (Hz).",
            "default": 44100,
            "enum": [
              16000,
              24000,
              32000,
              44100
            ],
            "x-ui-component": "select"
          },
          "bitrate": {
            "type": "integer",
            "description": "Output bitrate (bps).",
            "default": 256000,
            "enum": [
              32000,
              64000,
              128000,
              256000
            ],
            "x-ui-component": "select"
          }
        },
        "required": [
          "model",
          "prompt"
        ],
        "x-order-properties": [
          "model",
          "prompt",
          "lyrics",
          "is_instrumental",
          "format",
          "sample_rate",
          "bitrate"
        ]
      },
      "PredictionResponse": {
        "type": "object",
        "properties": {
          "created_at": {
            "description": "ISO timestamp of when the request was created.",
            "format": "date-time",
            "type": "string"
          },
          "id": {
            "description": "Unique identifier for the prediction.",
            "type": "string"
          },
          "model": {
            "description": "Model ID used for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated music.",
            "items": {
              "type": "string",
              "x-format": "audio"
            },
            "type": "array"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        }
      }
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

LLM 友好的提示词模板

# minimax/music-2.6

> MiniMax text-to-music (latest): generate a full vocal or instrumental song from a style prompt plus lyrics with [Verse]/[Chorus] structure tags. Synchronous single-call generation.


## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateAudio` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `minimax/music-2.6`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  Model name.
  - Default: `"minimax/music-2.6"`
  - Options: "minimax/music-2.6"

- **`prompt`** (`string`, _required_):
  Style / mood / genre / instrumentation description, e.g. "upbeat electronic pop, female vocal, energetic, catchy hook, 120bpm". Max 2000 chars.
  - Default: `"upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm"`

- **`lyrics`** (`string`, _optional_):
  Song lyrics. Separate lines with a newline; use a blank line for a pause. Supports structure tags: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Max 3500 chars. Leave empty (with is_instrumental=true) for instrumental.
  - Default: `"[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came"`

- **`is_instrumental`** (`boolean`, _optional_):
  Generate instrumental music only (no vocals).
  - Default: `false`

- **`format`** (`string`, _optional_):
  Output audio format.
  - Default: `"mp3"`
  - Options: "mp3", "wav", "pcm"

- **`sample_rate`** (`integer`, _optional_):
  Output sample rate (Hz).
  - Default: `44100`
  - Options: 16000, 24000, 32000, 44100

- **`bitrate`** (`integer`, _optional_):
  Output bitrate (bps).
  - Default: `256000`
  - Options: 32000, 64000, 128000, 256000



**Required Parameters Example**:

```json
{
  "model": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm"
}
```


**Full Example**:

```json
{
  "model": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
  "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
  "is_instrumental": false,
  "format": "mp3",
  "sample_rate": 44100,
  "bitrate": 256000
}
```


### Output Schema

The API returns the following output format:


- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created.

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated music.

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "created_at": "",
  "id": "",
  "model": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateAudio" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
  "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
  "is_instrumental": false,
  "format": "mp3",
  "sample_rate": 44100,
  "bitrate": 256000
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/minimax/music-2.6)

Cinematic acoustic folk, warm male vocal, intimate, emotional, fingerstyle guitar, ambient textures, soft harmonies, hopeful, 90 BPM.

加载中...

MiniMax Music

Generate a complete song — vocals or instrumental — from a short style prompt plus lyrics, in a single synchronous call.

Highlights

Text-to-music: describe the genre/mood/instrumentation in prompt, provide lyrics with structure tags.
Structure tags in lyrics: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Separate lines with a newline; a blank line adds a pause.
Instrumental mode via is_instrumental=true (lyrics optional).
Output is a downloadable audio file (mp3/wav/pcm), up to ~5 minutes.

Parameters

field	required	notes
`prompt`	yes	style / mood / genre / instrumentation, ≤2000 chars
`lyrics`	for vocals	lyric text with structure tags, ≤3500 chars
`is_instrumental`	no	instrumental-only, no vocals
`format`	no	`mp3` (default) / `wav` / `pcm`
`sample_rate`	no	16000 / 24000 / 32000 / 44100 (default)
`bitrate`	no	32000 / 64000 / 128000 / 256000 (default)

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$0.002/分钟

一个 API，畅享全模态 AI。

探索全部模型

MiniMax Music 2.6 API by MiniMax

输入

输出

参数

代码示例

安装

认证

HTTP 请求头

提交请求

提交请求

请求体

响应

检查状态

轮询示例

状态值

完成响应

Input Schema

请求体示例

Output Schema

响应示例

Atlas Cloud Skills

支持的客户端

安装

设置 API Key

功能

MCP Server

支持的客户端

安装

配置

可用工具

API Schema

LLM 友好的提示词模板

MiniMax Music

Highlights

Parameters

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Seed Audio 1.0

xAI TTS v1

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Suno chirp-v3-5

Suno chirp-v3-5-tau

Suno chirp-v4

Suno chirp-v4-tau

Suno chirp-v5

Seed ASR 2.0

xAI STT v1

一个 API，畅享全模态 AI。

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输入

输出

参数

代码示例

安装

认证

HTTP 请求头

提交请求

提交请求

请求体

响应

检查状态

轮询示例

状态值

完成响应

Input Schema

请求体示例

Output Schema

响应示例

Atlas Cloud Skills

支持的客户端

安装

设置 API Key

功能

MCP Server

支持的客户端

安装

配置

可用工具