# dome272/VQGAN-pytorch

<https://repo.masters-masters.com/en/repos/dome272/VQGAN-pytorch>

[Home](https://repo.masters-masters.com/en) › [dome272](https://repo.masters-masters.com/en/owners/dome272) › [VQGAN-pytorch](https://repo.masters-masters.com/en/repos/dome272/VQGAN-pytorch)

dome272/VQGAN-pytorch has 555 stars on GitHub. Its RepoMasters card: Alpha tier. Pytorch implementation of VQGAN (Taming Transformers for High-Resolution…

| Field | Value |
| --- | --- |
| Owner | [dome272](https://repo.masters-masters.com/en/owners/dome272) |
| Stars | 555 |
| Forks | 83 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [dome272/VQGAN-pytorch](https://github.com/dome272/VQGAN-pytorch) |

## Repository

Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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