Diffusion-Models-Papers-Survey-Taxonomy VS Awesome-Text-to-Image

Compare Diffusion-Models-Papers-Survey-Taxonomy vs Awesome-Text-to-Image and see what are their differences.

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Diffusion-Models-Papers-Survey-Taxonomy Awesome-Text-to-Image
2 1
2,683 1,885
- -
6.9 9.1
2 months ago 20 days ago
- MIT License
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.

Diffusion-Models-Papers-Survey-Taxonomy

Posts with mentions or reviews of Diffusion-Models-Papers-Survey-Taxonomy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-18.

Awesome-Text-to-Image

Posts with mentions or reviews of Awesome-Text-to-Image. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.

What are some alternatives?

When comparing Diffusion-Models-Papers-Survey-Taxonomy and Awesome-Text-to-Image you can also consider the following projects:

DreamCraft3D - [ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

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

blended-latent-diffusion - Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

dl-colab-notebooks - Try out deep learning models online on Google Colab

MultiDiffusion - Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

ml-art-colabs - A list of Machine Learning Art Colabs

PreTTI - Improving Text-to-Image Models with Large Language Models

TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. [Moved to: https://github.com/IIGROUP/TediGAN]

otel-adoption-survey-2022 - OpenTelemetry Adoption Survey 2022

Awesome-CLIP - Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

guided-diffusion-keras - Text to Image Diffusion Models in Keras

deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun