#music generation

Riffusion enables real-time music synthesis through stable diffusion. Built with Next.js and React, it provides a platform for dynamic music creation. Despite being inactive, it offers compatibility with inference servers for efficient model output generation. The app exemplifies the innovative use of modern technology in creative fields, complete with clear guidance for setup and usage.

Explore MusicGPT, a tool that uses large language models to locally generate music across multiple platforms without heavy dependencies. It supports text-based music creation with Meta's MusicGen and plans to add more models. Compatible with Mac, Linux, Windows, and Docker, it provides both UI and CLI modes, along with CUDA GPU support for faster processing. Generate quality audio samples and anticipate features like melody-based generation and endless music streaming.

This innovative project leverages generative adversarial networks to create multi-track polyphonic music, either from scratch or by enhancing existing tracks. Utilizing the Lakh Pianoroll Dataset for training, it offers a streamlined process with 3D convolutional layers for managing temporal structures. The platform supports workflows including training, inference, and interpolation, making it a valuable resource for musicians and developers.

Discover the capabilities of Google's new MusicLM model for advanced music generation using Pytorch. This project utilizes text-conditioned AudioLM with MuLan embeddings for enhanced audio generation. Collaborate with the LAION community to contribute to this open-source initiative, and benefit from Stability.ai's support and Huggingface's accelerate library for optimized training.