# ControlGenAI/T-LoRA

<https://repo.masters-masters.com/en/repos/ControlGenAI/T-LoRA>

[Home](https://repo.masters-masters.com/en) › [ControlGenAI](https://repo.masters-masters.com/en/owners/ControlGenAI) › [T-LoRA](https://repo.masters-masters.com/en/repos/ControlGenAI/T-LoRA)

ControlGenAI/T-LoRA has 156 stars on GitHub. Its RepoMasters card: Prototype tier. \[AAAI 2026\] This is the official implementation of "T-LoRA: Single Image…

| Field | Value |
| --- | --- |
| Owner | [ControlGenAI](https://repo.masters-masters.com/en/owners/ControlGenAI) |
| Stars | 156 |
| Forks | 9 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ControlGenAI/T-LoRA](https://github.com/ControlGenAI/T-LoRA) |

## Repository

\[AAAI 2026\] This is the official implementation of "T-LoRA: Single Image Diffusion Model Customization Without Overfitting"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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