UPDATE: A faster (20x) approach for running Stable Diffusion using MLIR/Vulkan/IREE is available on Windows:
conda create --name sd39 python=3.9 -y
Aaryaman Vasishta jammm
philipturner
/ UnifiedGEMMKernel.swift
Last active
October 8, 2024 05:26
Single shader source that supports every hardware architecture, problem size, and precision
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| // | |
| // main.swift | |
| // UnifiedGEMMKernel | |
| // | |
| // Created by Philip Turner on 5/29/24. | |
| // | |
| import Metal | |
| #if os(macOS) | |
| import IOKit |
harishanand95
/ Stable_Diffusion.md
Last active
June 18, 2025 10:19
Stable Diffusion on AMD GPUs on Windows using DirectML
h3r2tic
/ restir-meets-surfel-lighting-breakdown.md
Created
November 23, 2021 02:15
A quick breakdown of lighting in the `restir-meets-surfel` branch of my renderer
A quick breakdown of lighting in the restir-meets-surfel branch of my renderer, where I revive some olde surfel experiments, and generously sprinkle ReSTIR on top.
Please note that this is all based on work-in-progress experimental software, and represents a single snapshot in development history. Things will certainly change 😛
Due to how I'm capturing this, there's frame-to-frame variability, e.g. different rays being shot, TAA shimmering slightly. Some of the images come from a dedicated visualization pass, and are anti-aliased, and some show internal buffers which are not anti-aliased.