open_clip VS DALLE-pytorch

Compare open_clip vs DALLE-pytorch and see what are their differences.

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open_clip DALLE-pytorch
27 20
8,090 5,468
7.0% -
8.4 2.5
14 days ago about 1 month ago
Jupyter Notebook Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

open_clip

Posts with mentions or reviews of open_clip. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-13.

DALLE-pytorch

Posts with mentions or reviews of DALLE-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-03.
  • The Eleuther AI Mafia
    2 projects | news.ycombinator.com | 3 Sep 2023
    It all started originally on lucidrains/dalle-pytorch in the months following the release of DALL-E (1). The group started as `dalle-pytorch-replicate` but was never officially "blessed" by Phil Wang who seems to enjoy being a free agent (can't blame him).

    https://github.com/lucidrains/DALLE-pytorch/issues/116 is where the discord got kicked off originally. There's a lot of other interactions between us in the github there. You should be able to find when Phil was approached by Jenia Jitsev, Jan Ebert, and Mehdi Cherti (all starting LAION members) who graciously offered the chance to replicate the DALL-E paper using their available compute at the JUWELS and JUWELS Booster HPC system. This all predates Emad's arrival. I believe he showed up around the time guided diffusion and GLIDE, but it may have been a bit earlier.

    Data work originally focused on amassing several of the bigger datasets of the time. Getting CC12M downloaded and trained on was something of an early milestone (robvanvolt's work). A lot of early work was like that though, shuffling through CC12M, COCO, etc. with the dalle-pytorch codebase until we got an avocado armchair.

    Christophe Schumann was an early contributor as well and great at organizing and rallying. He focused a lot on the early data scraping work for what would become the "LAION5B" dataset. I don't want to credit him with the coding and I'm ashamed to admit I can't recall who did much of the work there - but a distributed scraping program was developed (the name was something@home... not scraping@home?).

    The discord link on Phil Wang's readme at dalle-pytorch got a lot of traffic and a lot of people who wanted to pitch in with the scraping effort.

    Eventually a lot of people from Eleuther and many other teams mingled with us, some sort of non-profit org was created in Germany I believe for legal purposes. The dataset continued to grow and the group moved from training DALLE's to finetuning diffusion models.

    The `CompVis` team were great inspiration at the time and much of their work on VQGAN and then latent diffusion models basically kept us motivated. As I mentioned a personal motivation was Katherine Crowson's work on a variety of things like CLIP-guided vqgan, diffusion, etc.

    I believe Emad Mostaque showed up around the time GLIDE was coming out? I want to say he donated money for scrapers to be run on AWS to speed up data collection. I was largely hands off for much of the data scraping process and mostly enjoyed training new models on data we had.

    As with any online community things got pretty ill-defined, roles changed over, volunteers came/went, etc. I would hardly call this definitive and that's at least partially the reason it's hard to trace as an outsider. That much of the early history is scattered about GitHub issues and PR's can't have helped though.

  • New text-to-image network from Google beats DALL-E
    13 projects | news.ycombinator.com | 23 May 2022
  • [Project] DALL-3 - generate better images with fewer tokens through clip guided diffusion
    3 projects | /r/MachineLearning | 4 Dec 2021
    If in general DDPM > GAN > VAE, why do transformer image generators all use VQVAE to decode images? Wouldn't it be better to use a diffusion model? I was wondering about this and started experimenting with different ways to decode vector-quantized embeddings with a diffusion model - see discussion here After a lot of trial and error I got something that works pretty well.
  • Ask HN: Computer Vision Project Ideas?
    4 projects | news.ycombinator.com | 3 Oct 2021
    - "Discrete VAE", used as the backbone for OpenAI's DALL-E, reimplimented here (and other places) https://github.com/lucidrains/DALLE-pytorch (code for training a discrete VAE)
  • Crawling@Home: Help Build The Worlds Largest Image-Text Pair Dataset!
    5 projects | /r/DataHoarder | 5 Aug 2021
    Here's the DALLE-pytorch git repo.
    5 projects | /r/DataHoarder | 5 Aug 2021
    Since then, several efforts have been organized to replicate DALL-E. People organized initially around this awesome dalle replication repository https://github.com/lucidrains/DALLE-pytorch with some nice results that can be seen in the readme. More recently as part of an huggingface events, new results have been achieved (see https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini--Vmlldzo4NjIxODA ) and an online demo is now available https://huggingface.co/spaces/flax-community/dalle-mini
  • Wann habt Ihr euch das letzte Mal wie ein Kind über eine Sache gefreut?
    2 projects | /r/de | 9 May 2021
    Vielleicht bei https://github.com/lucidrains/DALLE-pytorch und https://github.com/kobiso/DALLE-reproduction
  • 9 Command-Line Tools to Go to Infinity & Beyond
    8 projects | dev.to | 30 Apr 2021
    Currently there are several projects trying to replicate DALL-E, here’s another one.
  • Text to Image Generation
    4 projects | news.ycombinator.com | 28 Mar 2021
    I have a working repo for that

    https://github.com/lucidrains/dalle-pytorch

    It just needs to be trained

  • Are we ever going to get access to DALL-E?
    2 projects | /r/GPT3 | 28 Feb 2021
    and this

What are some alternatives?

When comparing open_clip and DALLE-pytorch you can also consider the following projects:

DALL-E - PyTorch package for the discrete VAE used for DALL·E.

CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

DALLE-datasets - This is a summary of easily available datasets for generalized DALLE-pytorch training.

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

CoCa-pytorch - Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

imagen-pytorch - Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

DALLE-reproduction - Reproducing OpenAI's DALLE model

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

TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

taming-transformers - Taming Transformers for High-Resolution Image Synthesis

vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch