A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.

Last update: Dec 30, 2022

Overview

StyleGAN3 CLIP-based guidance

StyleGAN3 + CLIP

StyleGAN3 + inversion + CLIP

This repo is a collection of Jupyter notebooks made to easily play with StyleGAN3¹ and CLIP² for a text-based guided image generation.

Both notebooks are heavily based on this notebook, created by nshepperd (thank you!).

Special thanks too to Katherine Crowson for coming up with many improved sampling tricks, as well as some of the code.

Feel free to suggest any changes! If anyone has any idea what license should this repo use, please let me know.

StyleGAN3 was created by NVIDIA. Here is the original repo. ↩
CLIP (Contrastive Language-Image Pre-Training) is a multimodal model made by OpenAI. For more information head over here. ↩

Owner

Eugenio Herrera

Data Scientist, Full-Stack Engineer, and aspiring Researcher.

GitHub Repository

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A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.

Related tags

Overview

StyleGAN3 CLIP-based guidance

StyleGAN3 + CLIP

StyleGAN3 + inversion + CLIP

Owner

Eugenio Herrera

Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

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A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.

Related tags

Overview

StyleGAN3 CLIP-based guidance

StyleGAN3 + CLIP

StyleGAN3 + inversion + CLIP

Footnotes

Owner

Eugenio Herrera

Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

A python implementation of Yolov5 to detect fire or smoke in the wild in Jetson Xavier nx and Jetson nano

This repo contains the code and data used in the paper "Wizard of Search Engine: Access to Information Through Conversations with Search Engines"

10x faster matrix and vector operations

Test-Time Personalization with a Transformer for Human Pose Estimation, NeurIPS 2021

Official Tensorflow implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"

Header-only library for using Keras models in C++.

Pytorch Lightning code guideline for conferences

Neural Scene Graphs for Dynamic Scene (CVPR 2021)

Config files for my GitHub profile.

Tensorflow 2 Object Detection API kurulumu, GPU desteği, custom model hazırlama

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models

An algorithm that handles large-scale aerial photo co-registration, based on SURF, RANSAC and PyTorch autograd.

A Blender python script for getting asset browser custom preview images for objects and collections.

How to train a CNN to 99% accuracy on MNIST in less than a second on a laptop

Run Effective Large Batch Contrastive Learning on Limited Memory GPU

Pytorch Implementation of Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations

Wenzhou-Kean University AI-LAB