2026-08-08 14:37:57 +08:00
2026-08-08 14:37:57 +08:00
2026-07-13 15:44:43 +08:00
2026-08-08 14:37:57 +08:00
2026-08-08 14:37:57 +08:00
2026-07-11 13:46:56 +08:00
2026-08-08 14:37:57 +08:00
2026-08-08 14:37:57 +08:00
2026-07-13 15:44:43 +08:00

ComfyUI_UniBlockSwap

A universal swap node that supports ComfyUI native workflow, allowing 4_6G users to experience Minimax or Klein9B or Bernini or other large models

Update

  • Fix gguf loader cause high ram error,修复gguf加载时内存占用过大的bug,使用时注意避免推理过大分辨率或者时长过长,导致调用共享显存(如果调用了,就变慢了,不划算)
  • Make it for ' low Vram and normal Ram' users to esay running ComfyUI origin workflows.(Support allmot all of comfyUI origin workflows)
  • Support text encoder or diffusion models, is enable text encoder will need more Ram

Installation


In the ./ComfyUI/custom_nodes directory, run the following:

git clone https://github.com/smthemex/ComfyUI_UniBlockSwap

Example

  • run minimax H3 5min 0.4 just need 4.5G Vram (要降低Te的占用需要加te模块,或者用comfyUI自带的Vbar,OOM再加TE swap,避免内存占用)
  • run bernini int4 +loras ,512x384x120frames just need 9-10G Vram (if unpack node,notice batch size is wrong 注意官方模板解开后,batch size指向是错的,须改成1)
  • run klein9B Q8 just need 4.8G Vram
  • run boogu edit bf16 (Ram is not really used)
  • run krea2 bf16 (Ram is not really used)
S
Description
No description provided
Readme MIT
6.2 MiB
Languages
Python 100%