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

Continual Learning of Electronic Health Records (EHR).

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Implementation of momentum^2 teacher

Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning

Code for Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.

Implementation of ToeplitzLDA for spatiotemporal stationary time series data.

Automate issue discovery for your projects against Lightning nightly and releases.

Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution

Bi-level feature alignment for versatile image translation and manipulation (Under submission of TPAMI)

A sketch extractor for anime/illustration.

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

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Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"

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

Continual Learning of Electronic Health Records (EHR).

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Implementation of momentum^2 teacher

Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning

Code for Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.

Implementation of ToeplitzLDA for spatiotemporal stationary time series data.

Automate issue discovery for your projects against Lightning nightly and releases.

Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution

Bi-level feature alignment for versatile image translation and manipulation (Under submission of TPAMI)

A sketch extractor for anime/illustration.

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

Aircraft design optimization made fast through modern automatic differentiation

This GitHub repo consists of Code and Some results of project- Diabetes Treatment using Gold nanoparticles. These Consist of ML Models used for prediction Diabetes and further the basic theory and working of Gold nanoparticles.

A foreign language learning aid using a neural network to predict probability of translating foreign words

A very simple tool to rewrite parameters such as attributes and constants for OPs in ONNX models. Simple Attribute and Constant Modifier for ONNX.

Active learning for Mask R-CNN in Detectron2

FeTaQA: Free-form Table Question Answering

Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"