NX_HuggingFace_Flux

NX_HuggingFace_Flux
★ 3

远程生成Hugging FaceFlux 模型ComfyUI 节点
在 ComfyUI 中通过 Hugging Face 的 Flux 模型远程生成图像，支持选择 Flux-Dev/Flux-Schnell 模板并设置种子、尺寸、CFG与步数，但受远程 GPU 与配额限制影响。
💡 在 ComfyUI 中用 Hugging Face Flux 模型远程渲染图像。
🍴 1 Forks💻 Python🔄 2024-08-14
📦
网盘下载
复制链接后前往夸克网盘下载
https://pan.quark.cn/s/8f9eee5e2cdb
📦 requirements.txt
gradio_client
UI
📄 README

NX_HuggingFace_Flux

A ComfyUI’s custom node for generating images with the Flux-Dev or Flux-Schnell models directly on Hugging Face

[!IMPORTANT]

Node tested only on Linux. It should work without any problems on Windows and Mac but has not been tested on these OS.

Installation

If GIT is installed on your system, go to the custom_nodes subfolder of your ComfyUI installation, open a terminal and type:

git clone https://github.com/Franck-Demongin/NX_HuggingFace_Flux.git

If GIT is not installed, retrieve the ZIP file, unzip it into the custom nodes folder and rename it NX_HuggingFace_Flux.

IMPORTANT

Activate the Python virtual environment used by ComfyUI

from the ComfyUI installation directory:

“`bash

# Linux, Mac

source venv/bin/activate

“`

“`bash

# Windows

venv\Scripts\activate

“`

The command line must be preceded by *(venv)*, indicating that the virtual environment is active.

Install the dependencies used by the node:

pip install -r requirements.txt

Copy the *.env.example* file and rename it *.env*

Open it and enter your Hugging Face Access Token (you can create it in your Hugging Face space after creating an account).

Restart ComfyUI. *Hugging Face Flux* should be available in the *NX_Nodes* category.

Features

  • choice of template: Flux-Dev or Flux-Schnell
  • settings for seed, image size, CFG and number of steps

    • Note that

  • the CFG is only used by the Flu-Dev model and seems to be ignored by the Schnell model
  • for Dev, use a high number of steps (25 to 50) and a CFG between 2.5 and 8
  • for Schnell, the number of steps can be set to 4

    • Limitations

  • availability of a GPU on Hugging Face to render the image

    • -GPU time quota allocated to each user

    Due to these limitations, an error often occurs, stopping rendering.