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Song Generator Advanced

text-to-song-advanced

Song Generator Advanced is an AI model that can generate high-quality songs based on vocals, mood, genre, and lyrics.

Fast Inference
REST API
Try in ConsoleAPI DocsExamples

Model Information

Response Time~25 sec
StatusActive
Version
0.0.1
Updated8 days ago
API Reference
View Full Documentation

Prerequisites

  • Create an API Key from the Eachlabs Console
  • Install the required dependencies for your chosen language (e.g., requests for Python)

API Integration Steps

1. Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

import requests
import time


API_KEY = "YOUR_API_KEY"  # Replace with your API key
HEADERS = {
    "X-API-Key": API_KEY,
    "Content-Type": "application/json"
}


def create_prediction():
    response = requests.post(
        "https://api.eachlabs.ai/v1/prediction/",
        headers=HEADERS,
        json={
            "model": "text-to-song-advanced",
            "version": "0.0.1",
            "input": {
  "vocal": "your vocal here",
  "mood": "your mood here",
  "genre": "your genre here",
  "lyrics": "your lyrics here"
}
        }
    )
    prediction = response.json()
    
    if prediction["status"] != "success":
        raise Exception(f"Prediction failed: {prediction}")
    
    return prediction["predictionID"]

2. Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

def get_prediction(prediction_id):
    while True:
        result = requests.get(
            f"https://api.eachlabs.ai/v1/prediction/{prediction_id}",
            headers=HEADERS
        ).json()
        
        if result["status"] == "success":
            return result
        elif result["status"] == "error":
            raise Exception(f"Prediction failed: {result}")
        
        time.sleep(1)  # Wait before polling again

3. Complete Example

Here's a complete example that puts it all together, including error handling and result processing. This shows how to create a prediction and wait for the result in a production environment.

try:
    # Create prediction
    prediction_id = create_prediction()
    print(f"Prediction created: {prediction_id}")
    
    # Get result
    result = get_prediction(prediction_id)
    print(f"Output URL: {result['output']}")
    print(f"Processing time: {result['metrics']['predict_time']}s")
except Exception as e:
    print(f"Error: {e}")

Additional Information

  • The API uses a two-step process: create prediction and poll for results
  • Response time: ~25 seconds
  • Rate limit: 60 requests/minute
  • Concurrent requests: 10 maximum
  • Use long-polling to check prediction status until completion

Overview

Song Generator Advanced is designed to generate high-quality music compositions based on user-defined parameters. By leveraging AI-driven techniques, it allows users to create music with customized styles, moods, and genres while incorporating vocal elements and lyrics.

Technical Specifications

  • AI-driven composition: AI Song Generator Advanced generates unique musical pieces using trained AI algorithms.
  • Multi-genre support: A broad selection of genres enables diverse music generation.
  • Mood-based tuning: Various emotional modes shape the overall feel of the composition.
  • Vocal integration: Supports both male and female vocal selections.
  • Dynamic customization: Users can input specific lyrics and styles to refine the output.

Key Considerations

  • The quality of the generated music heavily depends on the input provided.
  • Lyrics should be well-structured and formatted to align with the chosen mode and genre.
  • Some combinations of mode and genre may not blend naturally, leading to unexpected results.
  • The output length is influenced by the size parameter.

Tips & Tricks

Prompts for AI Song Generator

  • Use descriptive and structured prompts to guide AI Song Generator Advanced effectively.
  • Avoid vague phrases—be specific about the desired composition style.

Size

  • Small: Suitable for short musical pieces or loops.
  • Medium: Best for structured verses and choruses.
  • Large: Ideal for full-length compositions.

Style

  • Select a style that complements the genre and mode for better coherence.

Vocal

  • Female Vocal: Works well with soft, emotional, or high-energy compositions.
  • Male Vocal: Best suited for deep, warm, or energetic compositions.

Mode

  • Relaxed, calm, dreamy: Ideal for jazz, lo-fi, or classical compositions.
  • Energetic, passionate, joyful: Pairs well with EDM, pop, and dance music.
  • Melancholic, dark, eerie: Suitable for metal, alternative rock, and orchestral scores.

Genre

  • Electronic, EDM, dance: High BPM and energetic compositions.
  • Rock, punk, alternative: Distorted instruments and dynamic progressions.
  • Hip-hop, R&B, funk: Rhythm-focused, often paired with strong lyrical elements.
  • Classical, orchestral, world music: Ideal for instrumental compositions.
  • Experimental, game music: Unique sounds and non-traditional structures.

Lyrics for AI Song Generator

  • Keep lyrics concise and structured for better alignment with the generated music.
  • Match the emotional tone of the lyrics with the selected mode.

Capabilities

  • Custom songs for independent artists
  • Background music for videos and media
  • Genre-specific compositions with mood customization

What can I use for?

  • Composing original songs with customized lyrics and melodies.
  • Generating instrumental tracks for various music genres.
  • Creating background scores for films, games, and multimedia projects.
  • Experimenting with different musical styles and emotional tones.
  • Enhancing creative workflows by providing AI-assisted music ideas.

Things to be aware of

  • Experiment with different modes and genres to discover unique musical styles.
  • Use lyrics sparingly and ensure they fit the rhythm and mood of the composition.
  • Combine vocal inputs with various styles to create unique singing patterns.
  • Adjust size for different use cases, from short loops to full-length compositions.

Limitations

  • AI Song Generator Advanced may not perfectly blend all modes and genres.
  • Complex lyrics may not always synchronize seamlessly with the melody.
  • Generated vocals are based on predefined male and female voice settings.

Output Format: MP3

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