vq-vae-2-pytorch
jukebox
vq-vae-2-pytorch | jukebox | |
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2 | 129 | |
1,518 | 7,612 | |
- | 1.1% | |
0.0 | 0.0 | |
over 1 year ago | 18 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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vq-vae-2-pytorch
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[D] GCP compute enging pricing question
not sure exactly what you mean by dimensionality of the forward passes, are you meaning the size of each layer? If it helps I've forked this https://github.com/rosinality/vq-vae-2-pytorch/blob/master/vqvae.py dimensionality of a single sample is [80000,3,1] ( batch size which works for me is about 8 size of the dataset is around 35000
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Using VQ-VAE to encode a matrix to a vector and back again
I am trying to use https://github.com/rosinality/vq-vae-2-pytorch for this purpose.
jukebox
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Open Source Libraries
openai/jukebox: Music Generation
- Will AI be able to create similar sounding music based off input?
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Best model for music generation?
https://github.com/openai/jukebox The demo code is there.
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Why didn't OpenAI MIT license Jukebox the same way they did CLIP?
I didn't even know about it until I heard Sam Altman casually mention it in an interview, I was expecting some basic tunes generator, but this is so amazing! I mean yeah the voices are not clear, it's muffled, but look at how far have image models progressed, if you applied the same amount of collaborative effort here, the results could be amazing! ElevenLabs showed how good and clear can AI-created voices sound. The only reason I can think of is that the Jukebox code is under view license only.
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[R] [N] Noise2Music - Diffusion models for generating high quality music audio from text prompts, by Google Research
OpenAI had this figured out 3 years ago: https://openai.com/blog/jukebox/ . You could then even define your own text. Model is open source too.
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Is music next?
They've had jukebox for a few years now, so I'm sure some new model will get released and explode overnight, like what chatGPT did.
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Mongolian Gabba Goat Techno
That already exists
- El éxito continuo de OpenAI: Y como llegaron a crear la IA más avanzada del 2023. ChatGPT.
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Implementation of Google's MusicLM in PyTorch
This model is designed to output raw audio.
However, there are many models which do output midi. That's actually much simpler, and has been done already a few years ago.
I thought OpenAI did this. But then, I might misremember, because their Jukebox actually also seems to produce raw audio (https://openai.com/blog/jukebox/).
However, midi generation is so easy, you even find it in some tutorials: https://www.tensorflow.org/tutorials/audio/music_generation
- FREE AI THINGS
What are some alternatives?
pytorch-generative - Easy generative modeling in PyTorch.
lucid-sonic-dreams
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
spleeter - Deezer source separation library including pretrained models.
music-demixing-challenge-starter-kit - Starter kit for getting started in the Music Demixing Challenge.
dalle-mini - DALL·E Mini - Generate images from a text prompt
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
ALAE - [CVPR2020] Adversarial Latent Autoencoders
musiclm-pytorch - Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
tt-vae-gan - Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement