Making your music visualizer with AI: Five techniques to master
neural frames · 3,613 words · 18 min read · EN

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hello my friends Nico here from New frames I'm the founder of a platform that allows you to create audio reactive AI visuals for your music it's a tool like none of its kind we call it a visual synthesizer it gives you all the controls you could possibly imagine to create stunning AI visuals today I would
like to demo and explain five different techniques to create audio reactive visual on our platform I will try to explain what's going on in all of these five techniques so afterwards you will have some inspiration and also some understanding for how the platform works and you can create your audio reactive AI visual it's yourself the last video
we will show is actually this [Music] one and we will demo the settings of it so make sure to not skip away beforehand so this is our first demo it's almost a bit of a boring demo but I want to show you the one extreme of what we can generate um in this project we have two
prompts the first one is an intricate Charco sketch of a tree and the second one is a bit different it's an acrylic painting of an oak tree and then some some stuff that the Pimp My prompt feature added but what's interesting about this project is actually the settings and notably these are the strength and the smooth we
have a strength of 0.4 which is honestly not very high strength strength is the magnitude uh for how much new stuff the AI will add from frame to frame so a low strength means it's very consistent a high strength will makes it a bit more flickering um but also more moving in general um and interestingly we have a
smooth of 40 smooth means for each AI output we will add some interpolation frames until the next AI output comes and in the if it's 40 this means we we will add 40 interpolation frames between two AI outputs and these just interpolate yeah from one AI output to the other if this number is very high it
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