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Music Generation

Suno AI

Suno AI API generates realistic music from text prompts, supporting diverse genres, languages, and seamless integration into applications.
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1import requests
2
3url = "https://api.aimlapi.com/generate"
4headers = {
5    "Authorization": "Bearer YOUR_API_KEY",
6    "Content-Type": "application/json"
7}
8payload = {
9    "prompt": "Create a relaxing ambient music track",
10    "make_instrumental": True,
11    "wait_audio": True
12}
13response = requests.post(url, json=payload, headers=headers)
14print(response.content)

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Suno AI

Suno AI-powered music generation tool creating realistic songs and instrumentals.

Model Overview Card: Suno AI

Basic Information

  • Model Name: Suno AI
  • Developer/Creator: Suno (Founded by Michael Shulman, Georg Kucsko, Martin Camacho, and Keenan Freyberg)
  • Release Date: December 20, 2023
  • Version: v3.5 (latest)
  • Model Type: Generative AI for Music Creation

Description

Overview:

Suno AI is a generative artificial intelligence music creation program capable of generating realistic songs with vocals and instrumentation or purely instrumental tracks. It operates based on user-provided text prompts.

Key Features:

Generates music combining vocals and instruments or purely instrumental.

Text-to-music capability with prompts specifying style and content.

Integrated with Microsoft Copilot as a plugin.

Supports Custom Mode for detailed customization of lyrics, music style, title, etc.

Intended Use:
  • Music creation for various genres and styles.
  • Integration into AI agents and applications like GPTs.
  • Suitable for creative projects, automated music generation, and entertainment.
  • Language Support: Multi-language support for generating lyrics and vocals.

Technical Details

Architecture:

Utilizes advanced generative AI models optimized for music creation, likely based on deep learning architectures like Transformers.

Training Data:

The dataset used for training Suno AI is not disclosed but claims to be safeguarded against plagiarism and copyright concerns.

Data Source and Size:

Information about the specific data sources and size is not provided.

Diversity and Bias:

Efforts are made to minimize biases and ensure the model can handle a variety of musical styles and languages: English (en), German (de), Spanish (es), French (fr), Hindi (hi), Italian (it), Japanese (ja), Korean (ko), Polish (pl), Portuguese (pt), Russian (ru), Turkish (tr), Chinese, simplified (zh)

Performance Metrics

  • Accuracy: Not explicitly mentioned, but the focus is on realistic and contextually appropriate music generation.
  • Speed: Optimized for real-time music generation based on user prompts.
  • Robustness: Capable of generating music across diverse genres and languages, maintaining high-quality output.
API reference

Python
import requests

url = "https://api.aimlapi.com/generate"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}
payload = {
    "prompt": "Create a relaxing ambient music track",
    "make_instrumental": True,
    "wait_audio": True
}
response = requests.post(url, json=payload, headers=headers)
print(response.content)
Javascript
const axios = require('axios');

const url = 'https://api.aimlapi.com/generate';
const headers = {
  'Authorization': 'Bearer YOUR_API_KEY',
  'Content-Type': 'application/json'
};
const payload = {
  'prompt': 'Create a relaxing ambient music track',
  'make_instrumental': true,
  'wait_audio': true
};

axios.post(url, payload, { headers: headers, responseType: 'arraybuffer' })
  .then(response => {
    console.log(response.data);
  })
  .catch(error => {
    console.error(error);
  });
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