minimax/music-2.6

Texto a Audio

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 ha sido desarrollado por MiniMax. Atlas Cloud (operado por Atlas Cloud AI LLC) proporciona acceso al modelo, pero no es su propietario. Todas las marcas comerciales pertenecen a sus respectivos titulares.

Entrada

Prompt *

Letra

Instrumental

Formato

Frecuencia de muestreo

Bitrate

Salida

Inactivo

Tu canción aparecerá aquí

Describe la canción y haz clic en Ejecutar para componerla.

Parámetros

Ejemplo de código
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()

Instalar

Instala el paquete de dependencias necesario.

pip install requests

Autenticación

Todas las solicitudes de API requieren autenticación mediante una clave de API. Puedes obtener tu clave de API desde el panel de Atlas Cloud.

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

Encabezados HTTP

import os

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

Mantén tu clave de API segura

Nunca expongas tu clave de API en código del lado del cliente ni en repositorios públicos. Usa variables de entorno o un proxy de backend en su lugar.

Enviar una solicitud

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())

Enviar una solicitud

Envía una solicitud de generación asíncrona. La API devuelve un ID de predicción que puedes usar para verificar el estado y obtener el resultado.

POST/api/v1/model/generateAudio

Cuerpo de la solicitud

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']}")

Respuesta

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

Verificar estado

Consulta el endpoint de predicción para verificar el estado actual de tu solicitud.

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

Ejemplo de polling

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)

Valores de estado

processingLa solicitud aún se está procesando.

completedLa generación está completa. Las salidas están disponibles.

succeededLa generación fue exitosa. Las salidas están disponibles.

failedLa generación falló. Verifica el campo de error.

Respuesta completada

{
  "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"
  }
}

Schema de entrada

Los siguientes parámetros se aceptan en el cuerpo de la solicitud.

Total: 7Obligatorio: 2Opcional: 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

Ejemplo de cuerpo de solicitud

{
  "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
}

Schema de salida

La API devuelve una respuesta de predicción con las URL de salida generadas.

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.

Ejemplo de respuesta

{
  "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 integra más de 400 modelos de IA directamente en tu asistente de codificación con IA. Un solo comando para instalar y luego usa lenguaje natural para generar imágenes, videos y chatear con LLM.

Clientes compatibles

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ clientes compatibles

Instalar

npx skills add AtlasCloudAI/atlas-cloud-skills

Configurar clave de API

Obtén tu clave de API desde el panel de Atlas Cloud y configúrala como variable de entorno.

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

Funcionalidades

Una vez instalado, puedes usar lenguaje natural en tu asistente de IA para acceder a todos los modelos de Atlas Cloud.

Generación de imágenesGenera imágenes con modelos como Nano Banana 2, Z-Image y más.

Creación de videosCrea videos a partir de texto o imágenes con Kling, Vidu, Veo, etc.

Chat con LLMChatea con Qwen, DeepSeek y otros modelos de lenguaje de gran escala.

Carga de mediosSube archivos locales para flujos de trabajo de edición de imágenes e imagen a video.

Más información

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server conecta tu IDE con más de 400 modelos de IA a través del Model Context Protocol. Funciona con cualquier cliente compatible con MCP.

Clientes compatibles

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ clientes compatibles

Instalar

npx -y atlascloud-mcp

Configuración

Agrega la siguiente configuración al archivo de configuración de MCP de tu IDE.

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

Herramientas disponibles

atlas_generate_imageGenera imágenes a partir de indicaciones de texto.

atlas_generate_videoCrea videos a partir de texto o imágenes.

atlas_chatChatea con modelos de lenguaje de gran escala.

atlas_list_modelsExplora más de 400 modelos de IA disponibles.

atlas_quick_generateCreación de contenido en un solo paso con selección automática de modelo.

atlas_upload_mediaSube archivos locales para flujos de trabajo de API.

Más información

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"
    }
  ]
}

Plantilla de Prompt Compatible con LLM

# 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.

Cargando...

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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