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4090 生成一个模型一次都要 30分钟吗？ |
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因为是fp16模型啊，显存不够会放到内存，速度就慢了很多，如果是足够的显存会快很多 |
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解决的问题
解决 【犀牛鸟实战issue】windows install
【问题描述】在windows系统中安装custom_rastorizer报错 √
【期望改进】在windows系统中顺利完成安装和代码运行 √
【完成方式】给出安装和代码运行说明文档 √
所做更改
添加了全面的Windows安装指南(WINDOWS_SETUP.md)
创建了用于编译自定义组件的批处理脚本
添加了Windows专用的依赖文件(requirements_win.txt)
详细记录了依赖项的逐步安装过程
提供了基于Conda和手动安装两种方法
包含了验证安装成功的说明
测试情况
已在以下环境成功测试安装和推理:
RTX 4090
RTX 5080
Windows 10和11
CUDA 12.4与PyTorch 2.5.1 CUDA 12.9与PyTorch 2.9.0
附加说明
在量化模型可用之前，本指南需要至少32GB显存的GPU，否则会生成很慢（我所使用的卡都需要三十分钟左右）