UmeAiRT - ComfyUI auto installer

I'm sharing with you my installation script, which automatically provides ComfyUI, workflows, models, custom nodes ...

Just run "ComfyUI-AllinOne-Auto_install.bat". With a few questions at the beginning of the script, only the desired elements will be downloaded.

Prerequisites :

What's included :

ComfyUI :

  • ComfyUI portable version pytorch 2.7.0+cu128
  • ComfyUI Manager
  • Interface settings
  • Xformers
  • Nvidia Apex
  • Sageattention
  • Triton

Workflow :

  • TXT to IMG
  • IMG to IMG
  • INPAINT
  • OUTPAINT
  • PulID & REDUX
  • ControlNet HED/Canny/Openpose/Depth
  • TXT to VIDEO
  • IMG to VIDEO
  • StartEndFrames
  • Face to VIDEO
  • VIDEO EXTENSION
  • VIDEO to LOOP
  • Frames interpolations
  • Upscaler
  • Video merge

WAN2.1 :

  • T2V Model
  • I2V Model
  • T2V GGUF Model
  • I2V GGUF Model
  • CLIP
  • CLIP Vision
  • VAE

Flux1 :

  • flux1-dev
  • flux1-schnell-fp8
  • GGUF
  • clip_l
  • t5xxl
  • VAE
  • ControlNet HED/Canny/Openpose/Depth

Upscale Model :

  • RealESRGAN_x4plus.pth
  • RealESRGAN_x4plus_anime_6B.pth

Custom Nodes :

  • ComfyUI-Custom-Scripts
  • ComfyUI-GGUF
  • ComfyUI-KJNodes
  • ComfyUI-VideoHelperSuite
  • ComfyUI-mxToolkit
  • ComfyUI-HunyuanVideoMultiLora
  • rgthree-comfy
  • ComfyUI-Frame-Interpolation
  • ComfyUI Impact Pack
  • ComfyUI-Easy-Use
  • ComfyUI_PuLID_Flux_ll
  • WAS Node Suite
  • ComfyUI-Florence2
  • ComfyUI-Upscaler-Tensorrt
  • ComfyUI-MultiGPU
  • ComfyUI-WanStartEndFramesNative

alt text

Downloads last month
22,291
GGUF
Model size
4.76B params
Architecture
t5encoder
Hardware compatibility
Log In to view the estimation

3-bit

4-bit

5-bit

8-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support