{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "StyleGAN3 Sampling + Comet.ipynb", "provenance": [], "collapsed_sections": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" }, "accelerator": "GPU" }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "aHzltei9Ue7I" }, "source": [ "#Sample from StyleGAN3 and log results to Comet" ] }, { "cell_type": "markdown", "metadata": { "id": "WVF2P1OlT92b" }, "source": [ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/comet-ml/comet-examples/blob/ml-art/notebooks/Comet_StyleGAN3_Sampling.ipynb)", "\n", "\n", "**Overview**\n", "\n", "This notebook expands on a notebook by [crimeacs](https://twitter.com/EarthML1). We have added some functionality to demostrate how Comet Panels can be used to track parameters and model configurations as well as log/view images and video for deep learning and computer vision projects and ML art. \n", "\n", "First, we're embedding some panels from an existing Comet project to display our own previous outputs from running this notebook. Then, we added a cell to install and initialize Comet so that you can log your results to your own Comet project. Then, we reproduce the original notebook code, but with Comet logging (optionally) enabled. Finally, we include insructions for adding an Image Viewer or Video Viewer panel to your Comet project and embedding it in a notebook like this one. \n", "\n", "