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Low-rank adaptation for Erasing COncepts from diffusion models.
ntc-ai / conceptmod
Forked from rohitgandikota/erasingModify Concepts from Diffusion Models using a dsl
Python audio and music signal processing library
A t-sne and k-means based sample/loop browser in Dash
Fine-tune your own MusicGen with LoRA
A simple gradio app for generating Segment Similarity Matrices from uploaded audio
Flexible LoRA Implementation to use with stable-audio-tools
A project to use stepper motors and make them produce frequencies using MIDI
リアルタイムボイスチェンジャー Realtime Voice Changer
Generative models for conditional audio generation
A framework for Beat Saber map scripting.
C++ library for audio and music analysis, description and synthesis, including Python bindings
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
simple trainer for musicgen/audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🦄 An NLP application just for the lols: built with Haystack to get an overview of what a user is posting about on Twitter
Convert any music library into a music production sample-library with ML
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
Using Low-rank adaptation to quickly fine-tune diffusion models.
A playbook for systematically maximizing the performance of deep learning models.
This project is deprecated. Check my new project ChatHub:
High-Resolution Image Synthesis with Latent Diffusion Models