# VSehwag/minimal-diffusion

<https://repo.masters-masters.com/en/repos/VSehwag/minimal-diffusion>

[Home](https://repo.masters-masters.com/en) › [VSehwag](https://repo.masters-masters.com/en/owners/VSehwag) › [minimal-diffusion](https://repo.masters-masters.com/en/repos/VSehwag/minimal-diffusion)

VSehwag/minimal-diffusion has 312 stars on GitHub. Its RepoMasters card: Alpha tier. A minimal yet resourceful implementation of diffusion models (along with…

| Field | Value |
| --- | --- |
| Owner | [VSehwag](https://repo.masters-masters.com/en/owners/VSehwag) |
| Stars | 312 |
| Forks | 39 |
| 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 | [VSehwag/minimal-diffusion](https://github.com/VSehwag/minimal-diffusion) |

## Repository

A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.