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

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StyleGAN3 + inversion + CLIP

Owner

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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

Machine learning, in numpy

Mmdet benchmark with python

Transfer SemanticKITTI labeles into other dataset/sensor formats.

Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽

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Course materials for Fall 2021 "CIS6930 Topics in Computing for Data Science" at New College of Florida

This is the repository for our paper SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking

Code and data of the ACL 2021 paper: Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision

This program writes christmas wish programmatically. It is using turtle as a pen pointer draw christmas trees and stars.

Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation.

TAUFE: Task-Agnostic Undesirable Feature DeactivationUsing Out-of-Distribution Data

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GraphGT: Machine Learning Datasets for Graph Generation and Transformation

A highly efficient, fast, powerful and light-weight anime downloader and streamer for your favorite anime.

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PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

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