Stable Diffusion - Mac vs RTX4090 vs RTX3060 vs Google Colab - how they perform.

A comparison of running Stable Diffusion Automatic1111 on - a Macbook Pro M1 Max, 10 CPU / 32 GPU cores, 32 GB Unified Memory - a PC with a Ryzen 9 and an NVIDIA RTX 4090, 24 GB VRAM, 64 GB RAM - a PC with a Ryzen 5 and an NVIDIA RTX 3060, 12 GB VRAM, 32 GB RAM - Google Colab on a NVIDIA Tesla T4 , 16 GB VRAM, 12 GB RAM Going through a variety of real-life test cases on each system, comparing their performance price and power usage. Also giving you my personal experiences and conclusions. Some useful links: =============== Google Colab Notebook for Automatic1111: https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb Install Automatic1111: https://github.com/AUTOMATIC1111/stable-diffusion-webui Install Vlad Stable Diffusion: https://github.com/vladmandic/automatic 00:00 Intro 01:15 Comparing the systems 02:22 Benchmarks 07:33 Ratings 08:19 Conclusion #benchmark #stablediffusion #automatic1111 #rtx3060 #rtx4090 #macm1 #googlecolab