# mkshing/e4t-diffusion

<https://repo.masters-masters.com/en/repos/mkshing/e4t-diffusion>

[Home](https://repo.masters-masters.com/en) › [mkshing](https://repo.masters-masters.com/en/owners/mkshing) › [e4t-diffusion](https://repo.masters-masters.com/en/repos/mkshing/e4t-diffusion)

mkshing/e4t-diffusion has 323 stars on GitHub. Its RepoMasters card: Alpha tier. Implementation of Encoder-based Domain Tuning for Fast Personalization of…

| Field | Value |
| --- | --- |
| Owner | [mkshing](https://repo.masters-masters.com/en/owners/mkshing) |
| Stars | 323 |
| Forks | 22 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | diffusion-models, stable-diffusion, text-to-image, deep-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [mkshing/e4t-diffusion](https://github.com/mkshing/e4t-diffusion) |

## Repository

Implementation of Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

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.