# Tencent-Hunyuan/Prism

<https://repo.masters-masters.com/en/repos/Tencent-Hunyuan/Prism>

[Home](https://repo.masters-masters.com/en) › [Tencent-Hunyuan](https://repo.masters-masters.com/en/owners/Tencent-Hunyuan) › [Prism](https://repo.masters-masters.com/en/repos/Tencent-Hunyuan/Prism)

Tencent-Hunyuan/Prism has 1,509 stars on GitHub. Its RepoMasters card: Beta tier. We propose Prism, a dynamic sparse attention framework for natively training…

| Field | Value |
| --- | --- |
| Owner | [Tencent-Hunyuan](https://repo.masters-masters.com/en/owners/Tencent-Hunyuan) |
| Stars | 1,509 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2026 |
| Topics | diffusion-models, high-resolution, sparse-attention, video-generation |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Tencent-Hunyuan/Prism](https://github.com/Tencent-Hunyuan/Prism) |

## Repository

We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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