Rare find

GigaGAN. Software that generates large, high-quality images from text descriptions.

github.com/lucidrains/gigagan-pytorch

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Vaya's read on this project

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Updates

January 2025

Release —0.3.0 Jan 12
incorporate zero centered gradient penalty on real and fake images fo… Jan 12

June 2024

Merge pull request #58 from kghamilton89/fix-accelerator-link Jun 28
Replaced Accelerator link returns 404. Jun 28
small cleanup Jun 6
cleanup Jun 6
redo the downsampling in unetupsampler as according to videogigagan p… Jun 6
cleanup Jun 5
complete the temporal networks within unetsampler for videogigagan Jun 5
first add temporal attention layers Jun 5
complete the temporal down and upsample layers for unet Jun 3
prepare for videogigagan logic Jun 2

November 2023

Release —0.2.20 Nov 6
address https://github.com/lucidrains/gigagan-pytorch/issues/51 Nov 6

September 2023

product management Sep 12
Release —0.2.19 Sep 12
address extraneous dim kernel mod for rgb adaptive conv, thanks to @i… Sep 12
Release —0.2.18 Sep 12
address issue with resolutions in generator for calculating attention… Sep 12
Release —0.2.17 Sep 12
take care of the all gather for contrastive loss Sep 12
Release —0.2.16 Sep 4
remove an activation function Sep 4
Release —0.2.15 Sep 3
tweak gradient penalty Sep 3
Release —0.2.14 Sep 3
make sure to actually train the vision aided discriminator Sep 3
Release —0.2.12 Sep 1
protect against gradient penalty nans Sep 1

August 2023

Release —0.2.11 Aug 25