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lucidrains
perceiver-pytorch
Python2022–2022
lucidrains / perceiver-pytorch

perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

2Distinct people
2Mentions
0Explicit recommenders
1.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2022-10-11 20:18:28 UTC to 2022-10-11 22:42:14 UTC.

012022-10-11 20:00:00 UTC to 2022-10-11 21:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 11, 20:002022-10-11 21:00:00 UTC to 2022-10-11 22:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsOct 11, 21:002022-10-11 22:00:00 UTC to 2022-10-11 23:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 11, 22:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Oct 11, 20:002022-10-11 20:00:00 UTC2022-10-11 21:00:00 UTC101
Oct 11, 21:002022-10-11 21:00:00 UTC2022-10-11 22:00:00 UTC000
Oct 11, 22:002022-10-11 22:00:00 UTC2022-10-11 23:00:00 UTC101

What Hacker News says

2 sources
I think that's confusing between two issues in opposite directions: 1. Accusations that AUTOMATIC1111 (the web frontend developer) copied code from the NovelAI leak relating to the loading of hypernetworks 2. The leak revealing that Anlatan (the company behind NovelAI) had copied code from AUTOMATIC1111's repo (who, as above, Anlatan are accusing of copying from them) relating to the weighting of words. AUTOMATIC1111's repo does not have a permissive license to allow this The third party MIT-licensed code is relevant to #1. Some code AUTOMATIC1111 was accused of copying from the leak (https://i.imgur.com/r1AkvBG.png) actually already appears in multiple older permissively-licensed public repos (https://github.com/lucidrains/perceiver-pytorch/blob/main/pe..., https://github.com/CompVis/stable-diffusion/blob/main/ldm/mo...), one of which wa
Read the rest
s credited in the readme by AUTOMATIC1111. For #2, the Anlatan CEO blamed it on an intern (https://i.imgur.com/BFjKG1V.png). The leak shows that the offending code was committed by the CEO (https://i.imgur.com/aLiA2tr.png), which doesn't necessarily rule it out originating from an intern (e.g: "send me the code over teams to review and I'll add it") but doesn't look great. From other examples I'd say AUTOMATIC1111 did get a bit sloppy in terms of not following clean-room design regarding the leak, but I'm inclined to give some leeway to a solo developer making a hugely popular public tool for free.
In /r/StableDiffusion – Mod here – My side of the story
This is what other people have found over on reddit: https://reddit.com/r/StableDiffusion/comments/xzipjx/automat... According to that comment, this (https://user-images.githubusercontent.com/23345188/194727572...) is allegedly the only reasonable match with the leaked code from NovelAI, but note that I have not verified that myself, and since NovelAI/Stability never said which part they take issue with it is hard to tell. This is the file in that other repo that the code actually seems to originate from https://github.com/lucidrains/perceiver-pytorch/blame/main/p... As you can see, that repo from 2 years ago even originates the "# attention, what we cannot get enough of" comment and is an exact 1:1 match to Automatics commit, while the one from NovelAI even has a small change in the if clause that Automatic doesn't have.
In Show HN: InvokeAI, an open source Stable Diffusion toolkit and WebUI

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