minimax/music-2.6

文生音訊

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.

MiniMax Music 2.6 由 MiniMax 開發。Atlas Cloud（由 Atlas Cloud AI LLC 營運）僅提供接取服務，並不擁有該模型。所有商標均歸其各自所有者所有。

輸入

提示詞 *

歌詞

純音樂

格式

取樣率

位元率

輸出

閒置

生成的歌曲將顯示在這裡

描述想要的歌曲，點擊執行開始創作。

參數

程式碼範例
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()

安裝

安裝所需的相依套件。

pip install requests

驗證

所有 API 請求都需要透過 API Key 進行認證。您可以在 Atlas Cloud 控制台取得 API Key。

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

HTTP 標頭

import os

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

保護好您的 API Key

切勿在客戶端程式碼或公開儲存庫中暴露您的 API Key。請使用環境變數或後端代理。

提交請求

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())

提交請求

提交一個非同步生成請求。API 會傳回一個 prediction ID，您可以用它來檢查狀態與取得結果。

POST/api/v1/model/generateAudio

請求主體

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']}")

回應

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

檢查狀態

輪詢 prediction 端點以檢查請求的當前狀態。

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

輪詢範例

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)

狀態值

processing請求仍在處理中。

completed生成完成，輸出可用。

succeeded生成成功，輸出可用。

failed生成失敗，請檢查 error 欄位。

完成回應

{
  "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

以下參數在請求主體中被接受。

總計: 7必填: 2選填: 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

範例請求主體

{
  "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 傳回包含生成輸出 URL 的 prediction 回應。

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.

範例回應

{
  "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 將 400+ AI 模型直接整合到您的 AI 程式碼助手中。一條命令安裝，即可用自然語言生成圖片、影片，以及與 LLM 對話。

支援的客戶端

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ 支援的客戶端

安裝

npx skills add AtlasCloudAI/atlas-cloud-skills

設定 API Key

從 Atlas Cloud 控制台取得 API Key，並將其設定為環境變數。

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

功能

安裝完成後，您可以在 AI 助手中使用自然語言存取所有 Atlas Cloud 模型。

圖片生成使用 Nano Banana 2、Z-Image 等模型生成圖片。

影片創作使用 Kling、Vidu、Veo 等從文字或圖片創建影片。

LLM 對話與 Qwen、DeepSeek 及其他大型語言模型對話。

媒體上傳上傳本機檔案用於圖片編輯和圖生影片工作流程。

MCP Server

Atlas Cloud MCP Server 透過 Model Context Protocol 將您的 IDE 與 400+ AI 模型連接。支援任何相容 MCP 的客戶端。

支援的客戶端

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ 支援的客戶端

安裝

npx -y atlascloud-mcp

設定

將以下設定新增到您的 IDE 的 MCP 設定檔中。

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

可用工具

atlas_generate_image根據文字提示生成圖片。

atlas_generate_video從文字或圖片創建影片。

atlas_chat與大型語言模型對話。

atlas_list_models瀏覽 400+ 可用 AI 模型。

atlas_quick_generate一步式內容創建，自動選擇最佳模型。

atlas_upload_media上傳本機檔案用於 API 工作流程。

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 友善的提示詞範本

# 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.

載入中...

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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xAI TTS v1 is a high-fidelity text-to-speech model that converts text into natural, expressive speech with sub-second latency, supporting 20 languages and 80+ voices with fine-grained delivery control.

Seed ASR 2.0

BytePlus Seed Speech recording-file recognition (ASR 2.0): transcribe an audio file to text with punctuation, ITN, sentence segmentation, speaker diarization, and 51-language support.

ElevenLabs v3 Text-to-Speech

ElevenLabs v3 Text-to-Speech model. High-quality speech generation from text prompts.

xAI STT v1

xAI STT v1 is a production-grade speech-to-text model that transcribes audio into accurate, formatted text. It supports 24+ languages with automatic language detection, word-level timestamps, speaker diarization, multichannel transcription, and inverse text normalization.

From

$0.002/分鐘

一個 API，暢享全模態 AI。

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