(flux1 bnb nf4) SimpleworkFlow版本unet (ID: 810317)

NF4 is significantly faster and more memory-efficient than FP8 due to its use of native bnb.matmul_4bit, which avoids casting and leverages low-bit CUDA tricks. It achieves better numerical precision and dynamic range by storing weights in multiple tensors of varying precisions, unlike FP8's single-tensor approach

the list of all (nf4) models (lora not supported yet)

https://huggingface.co/silveroxides/flux1-nf4-weights/tree/main

what you have to do just

go to ComfyUI/custom_nodes/

then (for full checkpoint)

https://github.com/comfyanonymous/ComfyUI_bitsandbytes_NF4

• git clone https://github.com/comfyanonymous/ComfyUI_bitsandbytes_NF4

or for unet only

• git clone https://github.com/DenkingOfficial/ComfyUI_UNet_bitsandbytes_NF4.git

and then run this workflow in comfyui

"more advance" workflow "just disable checkpoint and activate NF4 checkpoint loader"

for flux resolution

in custom node , or cancel it

https://github.com/al-swaiti/ComfyUI-OllamaGemini

描述:

训练词语: