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.

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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

potpourri3d - An invigorating blend of 3D geometry tools in Python.

Accurate Phylogenetic Inference with Symmetry-Preserving Neural Networks

Mail classification with tensorflow and MS Exchange Server (ham or spam).

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

A Light CNN for Deep Face Representation with Noisy Labels

Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.

Neural Motion Learner With Python

Example for AUAV 2022 with obstacle avoidance.

Unofficial TensorFlow implementation of the Keyword Spotting Transformer model

MoCoPnet - Deformable 3D Convolution for Video Super-Resolution

JudeasRx - graphical app for doing personalized causal medicine using the methods invented by Judea Pearl et al.

The code for paper "Learning Implicit Fields for Generative Shape Modeling".

Dilated Convolution with Learnable Spacings PyTorch

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

Dynamic Head: Unifying Object Detection Heads with Attentions

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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

potpourri3d - An invigorating blend of 3D geometry tools in Python.

Accurate Phylogenetic Inference with Symmetry-Preserving Neural Networks

Mail classification with tensorflow and MS Exchange Server (ham or spam).

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

A Light CNN for Deep Face Representation with Noisy Labels

Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.

Neural Motion Learner With Python

Example for AUAV 2022 with obstacle avoidance.

Unofficial TensorFlow implementation of the Keyword Spotting Transformer model

MoCoPnet - Deformable 3D Convolution for Video Super-Resolution

JudeasRx - graphical app for doing personalized causal medicine using the methods invented by Judea Pearl et al.

The code for paper "Learning Implicit Fields for Generative Shape Modeling".

Dilated Convolution with Learnable Spacings PyTorch

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

Dynamic Head: Unifying Object Detection Heads with Attentions

An implementation of Equivariant e2 convolutional kernals into a convolutional self attention network, applied to radio astronomy data.

a short visualisation script for pyvideo data

Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments

Official implementation of "A Shared Representation for Photorealistic Driving Simulators" in PyTorch.

Official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.