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2024/11/04

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@github-actions github-actions released this 04 Nov 02:03
bd6a9ae

Note | 简要

  • 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,无重大版本更新。

Changes in Start Script

run_nvidia_gpu.bat:

  • Enable hf_transfer lib for high-speed file transfer feature 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.
    • If you like the old way, simply remove the line in start script.
  • Add comments about setting HuggingFace Access Token.

启动脚本变动

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。

Added Custom Nodes | 预装更多自定义节点

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

Versions Info | 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).
  • 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。
  • 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