Lucid Sonic Dreams syncs GAN-generated visuals to music.

Overview

Lucid Sonic Dreams

Lucid Sonic Dreams syncs GAN-generated visuals to music. By default, it uses NVLabs StyleGAN2, with pre-trained models lifted from Justin Pinkney's consolidated repository. Custom weights and other GAN architectures can be used as well.

Sample output can be found on YouTube and Instagram.

Installation

This implementation has been teston on Python 3.6 and 3.7. As per NVLabs' TensorFlow implementation of StyleGAN2, TensorFlow 1.15 is required. TensorFlow 2.x is not supported.

To install, simply run:

pip install lucidsonicdreams

Usage

You may refer to the Lucid Sonic Dreams Tutorial Notebook for full parameter descriptions and sample code templates. A basic visualization snippet is also found below.

Basic Visualization

from lucidsonicdreams import LucidSonicDream


L = LucidSonicDream(song = 'song.mp3',
                    style = 'abstract photos')

L.hallucinate(file_name = 'song.mp4') 
Comments
  • where to place .pkl model files?

    where to place .pkl model files?

    Hi,

    Thanks for the fantastic repo,

    I really want to drop a custom .pkl model file into LucidSonicDreams and it isn't obvious to me where I should put it? I'm working in Colab for the time being.

    Thanks,

    Mark

    opened by markhanslip 1
  • Installing in Ubuntu 20.04 ?

    Installing in Ubuntu 20.04 ?

    Hi I tried now for hours to install Lucid Sonic Dreams in Ubuntu 20.04. How to install it correctly so that it works ? I tried it with anaconda but no luck....a little desperate now ! Update: Installed everything without errors. Used the setup.py to install dependencies. But now i am stuck. Where and how to execute this:

    from lucidsonicdreams import show_styles

    Show valid default style names. show_styles()

    or this ?

    "from lucidsonicdreams import LucidSonicDream

    L = LucidSonicDream(song = 'song.mp3', style = 'abstract photos')

    L.hallucinate(file_name = 'song.mp4') " ??

    Can someone enlighten me please ?

    opened by Colliwomple 0
  • Fix for broken Deps possibly?  Please advise!  LSD colab is BROKEN!  Thanks!

    Fix for broken Deps possibly? Please advise! LSD colab is BROKEN! Thanks!

    See - https://github.com/mikaelalafriz/lucid-sonic-dreams/compare/main...pollinations:lucid-sonic-dreams:main suggestion for pollinations to mod to self refer so their fixes they made can be used, otherwise its referring to the same broken changes that you have that are breaking the colabs for LSD.

    [fuse bias errors mostly to do with incompatibilities in breaking changes to several depenancies and potential v2 v3 python issues with v1/v2 tensorflow.]

    ITs fixable but we need to specify the old working dependencies from what i can see, not the new breaking ones. All this began after the default code attempted to integrate ADA from what i could see? Correct me if i am wrong thanks!

    opened by cleancoindev 1
  • Real time support

    Real time support

    Hi,

    First, thank you for your great work - it's incredible!

    I was wondering if, in your opinion, it would be possible to extend your work to generate the visuals in real-time. This would mean using streaming of audio data (or, possibly, MIDI) rather than pre-rendered files. I guess the frame rate can be a little low at 1024, but it would be still great to have this option for someone who has a lot of GPUs. Do you think it would be anyhow realistic?

    Keep up the amazing work!

    opened by lowlypalace 0
  • ModuleNotFoundError: No module named 'lucidsonicdreams'

    ModuleNotFoundError: No module named 'lucidsonicdreams'

    Im trying to run a test and this is the way i have the python file typed. Any help would be appreciated

    (command i input)= python proud.py (to run the python below)

    from lucidsonicdreams import LucidSonicDream

    L = LucidSonicDream(song = 'proud.mp3', style = 'abstract photos')

    L.hallucinate(file_name = 'proud.mp4', resolution = 360, start = 30, duration = 45)

    files.download("proud of you.mp4")

    Error im getting

    Traceback (most recent call last): File "proud.py" line 1 in from lucidsonicdreams import LucidSonicDream ModuleNotFoundError: No module named 'lucidsonicdreams

    Screenshot (4) '

    opened by Texagon 3
  • index out of bounds

    index out of bounds

    Hi! I am trying out the script in order to sync some images I have generated using VQGAN+CLIP to my audio. Here's the code:

    def load_imgs(noise_batch, class_batch):
        # just loads N images randomly
        return images
    
    L = LucidSonicDream('audio_5.mp3',
                        style = load_imgs, 
                        input_shape = 592,
                        num_possible_classes = 1000)
    
    L.hallucinate('video_sync.mp4',
                  output_audio = 'audio_sync.mp3',
                  speed_fpm = 3,
                  classes = [13, 14, 22, 24, 301, 84, 99, 100, 134, 143, 393, 394],
                  class_shuffle_seconds = 10, 
                  class_shuffle_strength = 0.1,
                  class_complexity = 0.5,
                  class_smooth_seconds = 4,
                  motion_react = 0.35,
                  flash_strength = 1)
                  #contrast_strength = 0.5)
    

    The error appears just at the end of the process:

    IndexError                                Traceback (most recent call last)
    <ipython-input-15-aeedb41e1387> in <module>()
         15               class_smooth_seconds = 4,
         16               motion_react = 0.35,
    ---> 17               flash_strength = 1)
         18               #contrast_strength = 0.5)
    
    2 frames
    /usr/local/lib/python3.7/dist-packages/lucidsonicdreams/main.py in apply_effect(self, array, index)
        742     '''Apply effect to image (array)'''
        743 
    --> 744     amplitude = self.spec[index]
        745     return self.func(array=array, strength = self.strength, amplitude=amplitude)
    
    IndexError: index 207 is out of bounds for axis 0 with size 207
    

    Any idea on how to avoid it? Thanks in advance!

    opened by shoegazerstella 0
Releases(v_04)
ADB-IP-ROTATION - Use your mobile phone to gain a temporary IP address using ADB and data tethering

ADB IP ROTATE This an Python script based on Android Debug Bridge (adb) shell sc

Dor Bismuth 2 Jul 12, 2022
Twins: Revisiting the Design of Spatial Attention in Vision Transformers

Twins: Revisiting the Design of Spatial Attention in Vision Transformers Very recently, a variety of vision transformer architectures for dense predic

482 Dec 18, 2022
Python library to receive live stream events like comments and gifts in realtime from TikTok LIVE.

TikTokLive A python library to connect to and read events from TikTok's LIVE service A python library to receive and decode livestream events such as

Isaac Kogan 277 Dec 23, 2022
SFD implement with pytorch

S³FD: Single Shot Scale-invariant Face Detector A PyTorch Implementation of Single Shot Scale-invariant Face Detector Description Meanwhile train hand

Jun Li 251 Dec 22, 2022
One implementation of the paper "DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing".

Introduction One implementation of the paper "DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing". Users

seq-to-mind 18 Dec 11, 2022
SPEAR: Semi suPErvised dAta progRamming

Semi-Supervised Data Programming for Data Efficient Machine Learning SPEAR is a library for data programming with semi-supervision. The package implem

decile-team 91 Dec 06, 2022
Deduplicating Training Data Makes Language Models Better

Deduplicating Training Data Makes Language Models Better This repository contains code to deduplicate language model datasets as descrbed in the paper

Google Research 431 Dec 27, 2022
XViT - Space-time Mixing Attention for Video Transformer

XViT - Space-time Mixing Attention for Video Transformer This is the official implementation of the XViT paper: @inproceedings{bulat2021space, title

Adrian Bulat 33 Dec 23, 2022
Differentiable rasterization applied to 3D model simplification tasks

nvdiffmodeling Differentiable rasterization applied to 3D model simplification tasks, as described in the paper: Appearance-Driven Automatic 3D Model

NVIDIA Research Projects 336 Dec 30, 2022
A nutritional label for food for thought.

Lexiscore As a first effort in tackling the theme of information overload in content consumption, I've been working on the lexiscore: a nutritional la

Paul Bricman 34 Nov 08, 2022
A simple, high level, easy-to-use open source Computer Vision library for Python.

ZoomVision : Slicing Aid Detection A simple, high level, easy-to-use open source Computer Vision library for Python. Installation Installing dependenc

Nurettin Sinanoğlu 2 Mar 04, 2022
Bayesian Generative Adversarial Networks in Tensorflow

Bayesian Generative Adversarial Networks in Tensorflow This repository contains the Tensorflow implementation of the Bayesian GAN by Yunus Saatchi and

Andrew Gordon Wilson 1k Nov 29, 2022
Markov Attention Models

Introduction This repo contains code for reproducing the results in the paper Graphical Models with Attention for Context-Specific Independence and an

Vicarious 0 Dec 09, 2021
A Quick and Dirty Progressive Neural Network written in TensorFlow.

prog_nn .▄▄ · ▄· ▄▌ ▐ ▄ ▄▄▄· ▐ ▄ ▐█ ▀. ▐█▪██▌•█▌▐█▐█ ▄█▪ •█▌▐█ ▄▀▀▀█▄▐█▌▐█▪▐█▐▐▌ ██▀

SynPon 53 Dec 12, 2022
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

DeltaConv [Paper] [Project page] Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds" by Ru

98 Nov 26, 2022
Deep Learning GPU Training System

DIGITS DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models. The currently supported frameworks are: Caffe, To

NVIDIA Corporation 4.1k Jan 03, 2023
Self Driving RC Car Code

Derp Learning Derp Learning is a Python package that collects data, trains models, and then controls an RC car for track racing. Hardware You will nee

Not Karol 39 Dec 07, 2022
Code for Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (AAAI 2019)

Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (AAAI 2019) We propose Disentangled Audio-Visual System (DAVS) to ad

Hang_Zhou 750 Dec 23, 2022
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Detectron is deprecated. Please see detectron2, a ground-up rewrite of Detectron in PyTorch. Detectron Detectron is Facebook AI Research's software sy

Facebook Research 25.5k Jan 07, 2023
Scenarios, tutorials and demos for Autonomous Driving

The Autonomous Driving Cookbook (Preview) NOTE: This project is developed and being maintained by Project Road Runner at Microsoft Garage. This is cur

Microsoft 2.1k Jan 02, 2023