# KlingAIResearch/SVG-T2I

<https://repo.masters-masters.com/en/repos/KlingAIResearch/SVG-T2I>

[Home](https://repo.masters-masters.com/en) › [KlingAIResearch](https://repo.masters-masters.com/en/owners/KlingAIResearch) › [SVG-T2I](https://repo.masters-masters.com/en/repos/KlingAIResearch/SVG-T2I)

KlingAIResearch/SVG-T2I has 155 stars on GitHub. Its RepoMasters card: Prototype tier. \[Arxiv 2025\] Official PyTorch Implementation of "SVG-T2I: Scaling up…

| Field | Value |
| --- | --- |
| Owner | [KlingAIResearch](https://repo.masters-masters.com/en/owners/KlingAIResearch) |
| Stars | 155 |
| Forks | 7 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2025 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [KlingAIResearch/SVG-T2I](https://github.com/KlingAIResearch/SVG-T2I) |

## Repository

\[Arxiv 2025\] Official PyTorch Implementation of "SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model Without Variational Autoencoder".

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.