
Tero Parviainen
@teropa • 9,829 subscribers
One half of @ctpt_studio. Building music systems for wellbeing and movement.
Videos

in which Jeremy Howard nails the phenomenology of agentic coding
Tero Parviainen41,792 просмотров • 6 месяцев назад

I which Sander Dieleman beautifully illustrates why diffusion models work so well with images 🐳 Our visual world is spatially coherent, and large scale structures dominate. 〜 This means low frequency spectral components in images tend to be stronger. 🌫️ This means when you noise up an image, high frequency detail goes away first, then coarse structure. 😶🌫️ This means when you denoise an image, the coarse structure emerges first, then the fine detail. ♻️ This means you can think of diffusion as "spectral autoregression". Coarse / low end to fine / high end.
Tero Parviainen16,450 просмотров • 4 месяцев назад

Using Stable Audio 3 to generate variations of an existing loop. Unconditional generation (no prompt), renoising the latents to 0.5, and just using different seeds seems to generate a nice neighbourhood around the original. Generally keeps the harmonic context and feel.
Tero Parviainen10,894 просмотров • 5 месяцев назад

"Making Minimal Techno with WebAssembly And a C Compiler" My presentation from #JSHeroes2024 today 👉
Tero Parviainen15,603 просмотров • 2 лет назад
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