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AudioCraft

Meta's open-source AI library for audio generation — MusicGen for text-to-music and AudioGen for text-to-sound

★ 23,426 GitHub MIT music-generationaudio-generationtext-to-musicai-musicmetaencodec Image & Video

Overview

AudioCraft is Meta's open-source deep learning library for audio generation, featuring three state-of-the-art AI models: MusicGen for text-to-music generation, AudioGen for text-to-sound effects, and EnCodec for high-fidelity neural audio compression. With over 23,000 GitHub stars, AudioCraft provides a unified framework for training and deploying generative audio models. MusicGen can generate high-quality music from text descriptions in various genres and styles, supporting both mono and stereo output. AudioGen creates environmental sounds and effects from text prompts. The library supports custom model training, fine-tuning on domain-specific data, and runs on consumer GPUs with 8GB+ VRAM. AudioCraft is the foundation behind many AI music generation services and tools.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  audiocraft:
    image: dustynv/audiocraft:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/audiocraft:/data

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