# ratszhu/Z-Image-Turbo-Carto

<https://repo.masters-masters.com/en/repos/ratszhu/Z-Image-Turbo-Carto>

[Home](https://repo.masters-masters.com/en) › [ratszhu](https://repo.masters-masters.com/en/owners/ratszhu) › [Z-Image-Turbo-Carto](https://repo.masters-masters.com/en/repos/ratszhu/Z-Image-Turbo-Carto)

ratszhu/Z-Image-Turbo-Carto has 118 stars on GitHub. Its RepoMasters card: Prototype tier. 是一个专为高性能本地部署设计的高级 WebUI 工程,支持Mac/Windows本地部署，本项目基于阿里通义…

| Field | Value |
| --- | --- |
| Owner | [ratszhu](https://repo.masters-masters.com/en/owners/ratszhu) |
| Stars | 118 |
| Forks | 31 |
| 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 | [ratszhu/Z-Image-Turbo-Carto](https://github.com/ratszhu/Z-Image-Turbo-Carto) |

## Repository

是一个专为高性能本地部署设计的高级 WebUI 工程,支持Mac/Windows本地部署，本项目基于阿里通义 Tongyi-MAI/Z-Image-Turbo 模型，针对 Apple Silicon (M1/M2/M3/M4) 和 NVIDIA RTX (Windows) 进行了深度底层优化。通过 Bfloat16 精度、VAE FP32 混合精度推理以及手动 LoRA 注入技术，实现了极速、高清、低显存占用的完美平衡。

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.