Abstract: Markov Chain Monte Carlo (MCMC) is a method for drawing samples from non-standard probability distributions. Hamiltonian Monte Carlo (HMC) is a popular variant of MCMC that uses gradient ...
Supports most practical Explicit Runge-Kutta (ERK) methods. Tested on SD1.5, SDXL, and SD3. Decrease it to set more strict tolerances (better results) in exchange for slower inference times. Increase ...
Abstract: In this article, a fractional-N reference sampling phase-locked loop (PLL) (RSPLL) is presented. A capacitorbased digital-to-analog converter (CDAC) is implemented at the output of the ...
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