Awesome-Diffusion-Models VS CogView2

Compare Awesome-Diffusion-Models vs CogView2 and see what are their differences.

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models (by diff-usion)
diffusion-models generative-model Machine Learning score-matching Artificial intelligence score-based
Source Code
diff-usion.github.io
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CogView2

official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers" (by THUDM)
Transformer Pytorch pretrained-models text-to-image
Source Code
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Awesome-Diffusion-Models CogView2
6 11
10,107 929
- 1.6%
6.1 0.0
2 months ago almost 2 years ago
HTML Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Awesome-Diffusion-Models

Posts with mentions or reviews of Awesome-Diffusion-Models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-10.

CogView2

Posts with mentions or reviews of CogView2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-10.

What are some alternatives?

When comparing Awesome-Diffusion-Models and CogView2 you can also consider the following projects:

denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch

CogView - Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".

Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch - [ECCV 2022] Compositional Generation using Diffusion Models

pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

ML-University - Machine Learning Open Source University

dalle-mini - DALL·E Mini - Generate images from a text prompt

papers-I-read - A-Paper-A-Week

MachineLearning-BaseballPrediction-BlazorApp - Machine Learning over historical baseball data using latest Microsoft AI & Development technology stack (.Net Core & Blazor)

Awesome-Diffusion-Models vs denoising-diffusion-pytorch CogView2 vs CogView Awesome-Diffusion-Models vs Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch CogView2 vs pytorch-image-models Awesome-Diffusion-Models vs ML-University Awesome-Diffusion-Models vs dalle-mini Awesome-Diffusion-Models vs papers-I-read Awesome-Diffusion-Models vs MachineLearning-BaseballPrediction-BlazorApp