stylegan2-ada VS clip-guided-diffusion

Compare stylegan2-ada vs clip-guided-diffusion and see what are their differences.


StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation (by NVlabs)
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stylegan2-ada clip-guided-diffusion
21 5
1,787 447
0.4% -
0.0 1.8
7 months ago over 2 years ago
Python Python
GNU General Public License v3.0 or later MIT License
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Posts with mentions or reviews of stylegan2-ada. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-21.


Posts with mentions or reviews of clip-guided-diffusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-17.

What are some alternatives?

When comparing stylegan2-ada and clip-guided-diffusion you can also consider the following projects:

awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download

discoart - 🪩 Create Disco Diffusion artworks in one line

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by

stylegan2_pytorch - A Pytorch implementation of StyleGAN2

blended-diffusion - Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]

stylegan2 - StyleGAN2 - Official TensorFlow Implementation

LiminalGan - A stylegan2 model trained on liminal space images

GAN_stability - Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

EigenGAN-Tensorflow - EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

ziyadedher - 🔥🧠 Exclusive behind-the-scenes for!

stable-diffusion-webui - Stable Diffusion web UI