# Tencent-Hunyuan/Prism

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

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

Tencent-Hunyuan/Prism, dépôt open source à 1 501 étoiles sur GitHub. Carte Bêta de RepoMasters. We propose Prism, a dynamic sparse attention framework for…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [Tencent-Hunyuan](https://repo.masters-masters.com/owners/Tencent-Hunyuan) |
| Étoiles | 1 501 |
| Forks | 12 |
| Langage | [Python](https://repo.masters-masters.com/languages/python) |
| Licence | Aucune |
| Création | 2026 |
| Sujets | diffusion-models, high-resolution, sparse-attention, video-generation |
| Rang | [Bêta (700 à 1 999 ★)](https://repo.masters-masters.com/ranks/box_office) |
| Voir sur GitHub | [Tencent-Hunyuan/Prism](https://github.com/Tencent-Hunyuan/Prism) |

## Fiche du dépôt

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

Rang des dépôts qui ont 700 à 1 999 ★ sur GitHub. Probabilité publiée par carte tirée : 6 %. Rareté : Rare.

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Données : GitHub · Illustration : image publique du projet, pixelisée par RepoMasters.