2024/11/04

[YanWenKun]

• This update only includes minor tweaks to the user experience, with no major version updates.
• 本次更新仅调整使用体验，不含关键版本更新。

Changes in Start Script | 启动脚本变动

run_nvidia_gpu.bat:

• Enable hf_transfer for high-speed file transfer of Hugging Face Hub.
  • If HF Hub freezes while downloading, disable this setting (remove the line in start script).
• Use a local folder HuggingFaceHub to save model files downloaded by Hugging Face Hub.
  • You can copy/move your cache %USERPROFILE%\.cache\huggingface\hub to the HuggingFaceHub folder if needed.
  • Or if you like the old way, simply remove the line in start script.
• Add comments for setting HuggingFace Access Token.

run_cn.bat:

• 启用 hf_transfer，Hugging Face Hub 的实验性高速传输功能。
  • 如果 HF Hub 下载时整个程序卡住，在启动脚本里删除该行即可。这是个 rust 多线程传输库，不会显示下载进度。
• 现在程序根目录下有个 HuggingFaceHub 文件夹用来保存 HF Hub 下载的模型文件。
  • 以前的模型文件在 %USERPROFILE%\.cache\huggingface\hub，可以将其移动或复制过来。
  • 或者，如果你喜欢以前的保存位置，将启动脚本里对应行删除即可。
• 添加关于 HuggingFace Access Token 的说明。

Changes on Custom Nodes | 预装自定义节点变动

➕ ComfyUI-Easy-Use
➕ ComfyUI-GGUF
➕ ComfyUI-to-Python-Extension

Versions | 版本信息

• Python 3.12.7
• CUDA 12.4
• PyTorch 2.5.1
• xFormers 0.0.28.post3
• Using wheels for Comfy3D compiled by me.

Previous Releases | 经典版本一览

• For 3D-Pack users, keep in mind that 3D workflows are very picky about versions compatibility (due to its Torch C++ JIT nature).
  • Use the PyTorch 2.3.0 version if you only use 3D-Pack.
• Newer version of PyTorch tend to have better performance, but not always significant for 3D workflows.
• Furthermore, I made a dedictated package for Stable Fast 3D.

• 3D-Pack 用户留意，因为 3D 工作流需要运行时编译 Torch C++ 扩展，其对兼容性十分挑剔。
  • 如果你只用 3D-Pack，推荐用 PyTorch 2.3.0 版本 。
• 新版 PyTorch 性能更好，但对 3D 工作流并不明显。
• 此外，我专门为 Stable Fast 3D 制作了一个 整合包 。

Date	PyTorch	Python	CUDA	Note	备注
2024/05/21	2.2.2	3.11	12.1	Used by #7. Good if you want to use older version of 3D-Pack	适合运行老版本 3D-Pack
2024/07/01	2.2.2	3.11	12.1	Almost the same as 05/21, only update	与上一版几乎一样，仅小更新
2024/09/10	2.3.0	3.11	12.1	Most likely to successfully run all 3D-Pack workflows	目前兼容性最好，最有可能运行全部 3D-Pack 工作流
2024/10/01	2.4.0	3.11	12.1	Second most likely to successfully run all 3D-Pack workflows	第二兼容性好
2024/10/18	2.4.0	3.12	12.1	Minor improvement to the 10/01. Upgrade to Python 3.12	对上一版的小改进，升级到 Python 3.12

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This discussion was created from the release 2024/11/04.