butterchurn
stable-diffusion-webui
| butterchurn | stable-diffusion-webui | |
|---|---|---|
| 60 | 5 | |
| 1,491 | 41 | |
| - | - | |
| 0.6 | 10.0 | |
| about 1 month ago | about 1 year ago | |
| JavaScript | Python | |
| MIT License | - |
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butterchurn
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Show HN: SlideSynth
Yes, the visuals are from the same tradition as old winamp plugins: https://github.com/jberg/butterchurn
- Who has never done this?
- Butterchurn Sound Visualizer
- Visualizer Tool for Deaf People
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Winamp
Butterchurn Visualizer
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Possibility of embedding ButterChurn visualizer?
yes, it is possible. there’s instructions on their github.
- Made it completely portable, it’s gonna make gigging super fun
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It's really weird that we were mesmerized by watching music with visualizers in Winamp, iTunes, etc. in the 2000s, but they're not really a big thing now that we have 4k displays and the computing power to create really stunning visualizers.
You can run Milkdrop 2 in a browser via this website.
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Generic and fun video for stage projection?
I use this: https://butterchurnviz.com/
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Music visualisation + stable diffusion + lots of animation parameter tweaking (method in comments)
The input video was screen recorded from https://butterchurnviz.com/, using preset "martin - witchcraft reloaded".
stable-diffusion-webui
- After much experimentation 🤖
- Dragon Ball Infinity Wars
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Music visualisation put through stable diffusion
Music: The Prodigy - Smack My Bitch Up (Noisia Remix) Prompt: Giant sci-fi space machines made of realistic human eyes and snakes, snake eyes, tongues, beautiful, strange pupils, odd and intense colors, alien technology, robotic, organic, surreal, industrial, astronomy, floating in a vast bright dense amazing galaxy with lots of planets and stars, amazing high definition 4k beautiful detail. Params: Euler a, 20 steps, 20 scale, 0.55 denoise strength, seed 57420424 Method: - The input audio is an excerpt of The Prodigy - Smack My Bitch Up (Noisia Remix) - The input audio visualisation video was captured from https://butterchurnviz.com/, using "martin - witchcraft reloaded" as preset and just a dump screen recorder at ~60fps. - Input video reduced from 60fps to 20fps, so that processing time is reasonable, also helps reduce rapid flicker due to variations on every frame. - Each resulting was frame put through SD, mixed 50% with previously generated frame, to attempt to introduce some continuity. This was done using the Automatic1111 UI and a custom script based on Filarius's vid2vid script. - Resulting video pushed back up to 60fps using ffmpeg minterpolate.
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(WIP) VID 2 VID user script
is there a reason why "git clone https://github.com/Filarius/stable-diffusion-webui/blob/master/scripts/vid2vid.py" comes up with a "not found" error? I'm new to all this but was told the git pull system was the best way to grab things as you can update easily.
What are some alternatives?
projectm - projectM - Cross-platform Music Visualization Library. Open-source and Milkdrop-compatible.
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
kaleidosync - A WebGL Spotify visualizer made with Vue, D3, and Three.js.
webamp - Winamp 2 reimplemented for the browser
nulloy - Music player with a waveform progress bar
Guayadeque - Guayadeque is a music management program designed for all music enthusiasts. It is Full Featured Linux media player that can easily manage large collections and uses the Gstreamer media framework.
webaudio-examples - Code examples that accompany the MDN Web Docs pages relating to Web Audio.
breakbeet - A silly music visualizer that sizes a 3D model according to the volume of the input audio.
Olaf - Olaf: Overly Lightweight Acoustic Fingerprinting is a portable acoustic fingerprinting system.
lastfm-collage-generator - Top albums collage generator for Last.fm
deforum-for-automatic1111-webui - Deforum extension script for AUTOMATIC1111's Stable Diffusion webui [Moved to: https://github.com/deforum-art/sd-webui-deforum]
lofi - 🎵🔉 A mini Spotify player with WebGL visualizations.