lucid-sonic-dreams
spleeter
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lucid-sonic-dreams | spleeter | |
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14 | 230 | |
772 | 24,878 | |
- | 1.4% | |
0.0 | 1.5 | |
over 2 years ago | about 1 month ago | |
Python | Python | |
MIT License | MIT License |
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lucid-sonic-dreams
- Deep Music Visualizer + Stable WarpFusion
- Lucid Sonic Dreams
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I wrote an opensource software that shows audio reactive visual effects generated by StyleGAN2 (links to github and more information under video description)
If by "made" you mean stole from https://github.com/mikaelalafriz/lucid-sonic-dreams without attribution an packaged it into an executable without attribution while claiming its "opensource" (its not), then yes
- I wrote some code that can play audio reactive visual loops generated by StyleGAN2 in real time.
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Hei jeg er autistisk og har brukt 10 år av livet mitt på å skape en kolleksjon på 3 album og 33 sanger. Disse er alle helt ny sanger aldri av noen. Sangene ble laget i 2012 som skaper unike stiler basert på min personlighet den tiden. To av album coverene har jeg tegnet selv, gjett hvilke :P
Takk! Brukte dette biblioteket med egne presets. Må advare om at du trenger kraftig GPU https://github.com/mikaelalafriz/lucid-sonic-dreams
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Lucid Sonic Dreams GAN (Abstract Photo Set)
Here's the Github link to the lib.
- Edge Feedback on Face Morph GAN.
- Beach Baby as seen by an AI trained on Impressionist Paintings
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Stylegan2-ada x lucid sonic dreams x animal eyes
This video was created with following repository’s stylegan2-ada-pytorch, lucid-sonic-dreams and spleeter
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Fiz um vídeo de música generativa com Barões da Pisadinha lo-fi usando um pacote que sincroniza a música com a saída de uma rede neural generativa adversarial
O pacote usado chama Lucid Sonic Dreams: https://github.com/mikaelalafriz/lucid-sonic-dreams
spleeter
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Are stems a good way of making mashups
virtual dj and others stem separator is shrinked model of this https://github.com/deezer/spleeter you will get better results downloading original + their large model.
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Big News!
I have used multiple tools at this point. It depends on the scene. I use https://ultimatevocalremover.com/, https://github.com/deezer/spleeter/, iZotope RX. There are also multiple options online, I would personally recommend https://vocalremover.org/.
- Anybody here know what AI model does Steinberg's Spectralayers use to do stem separation?
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Show HN: Free AI-based music demixing in the browser
I tried to use it but I had some issues as others in the thread.
I have tried many sources and method over the years and settled on spleeter [0]. Works well even for 10+ minute songs, varying styles from flamenco to heavy metal.
[0] https://github.com/deezer/spleeter
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AI tools list sorted by category in one place
Spleeter is pretty good https://github.com/deezer/spleeter. Apparently it is used in some dj applications
- Software to lower tracks?
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Where does one legally get stems for remixes?
Haha GitHub and command lines and all can be confusing, but it’s certainly worth the effort because it lets you do everything for free.. here’s the online tutorial: https://github.com/deezer/spleeter/wiki/1.-Installation
- Audio and python help
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Are there any websites or programs that can separate vocals and drums from samples?
Chopped from their website Simple Stems is a quick and easy way to decompose any audio into it’s constituent parts. The plugin uses the well established Spleeter algorithm by Deezer to deconstruct songs into 2, 4 or 5 stems. The results are stunning, though more complicated mixes and live recordings are not always perfectly decomposed.
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Ask HN: Is there an ML model that can go from an audio song to sheet music?
I was going to post basic pitch from Spotify but it looks like billconan beat me to it. That said I can give you a bit more advice. The Spotify basic pitch model isn't too good at multi-track input. It's capable of it, but you may actually get better results if you separate out the tracks first and then run them individually through the basic pitch model.
In order to do this you can use a source/stem separation model like spleeter (https://github.com/deezer/spleeter) and then run the basic pitch model (or any other midi transcription model). There's other you can try which may yield better results, for example: (https://github.com/Music-and-Culture-Technology-Lab/omnizart)
Either way the key words you want to be looking for are "midi transcription" and "stem separation", should help you find more models to try for both steps. Good luck! :)
What are some alternatives?
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
stylegan2-ada-pytorch - StyleGAN2-ADA - Official PyTorch implementation
open-unmix-pytorch - Open-Unmix - Music Source Separation for PyTorch
stylegan - StyleGAN - Official TensorFlow Implementation
demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
SpleeterGui - Windows desktop front end for Spleeter - AI source separation
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
SpleetGUI - Spleeter GUI version
v_machine - Visual Loop Machine that plays MTD (Multiple Temporal Dimension) videos based on audio input.
spleeter-web - Self-hostable web app for isolating the vocal, accompaniment, bass, and drums of any song. Supports Spleeter, D3Net, Demucs, Tasnet, X-UMX. Built with React and Django.