OFA VS clip-guided-diffusion

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

OFA

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework (by OFA-Sys)
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OFA clip-guided-diffusion
3 5
2,323 440
2.4% -
2.8 1.8
4 days ago about 2 years ago
Python Python
Apache License 2.0 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.

clip-guided-diffusion

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 OFA and clip-guided-diffusion you can also consider the following projects:

ImageNet21K - Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

GroundingDINO - Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

discoart - 🪩 Create Disco Diffusion artworks in one line

ONE-PEACE - A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

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

MAGIC - Language Models Can See: Plugging Visual Controls in Text Generation

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

UPop - [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.