ComfyUI Node: Nunchaku FLUX LoRA Stack
Category
Nunchaku
Inputs
model MODEL
lora_name_1
- None
lora_strength_1 FLOAT
lora_name_2
- None
lora_strength_2 FLOAT
lora_name_3
- None
lora_strength_3 FLOAT
lora_name_4
- None
lora_strength_4 FLOAT
lora_name_5
- None
lora_strength_5 FLOAT
lora_name_6
- None
lora_strength_6 FLOAT
lora_name_7
- None
lora_strength_7 FLOAT
lora_name_8
- None
lora_strength_8 FLOAT
lora_name_9
- None
lora_strength_9 FLOAT
lora_name_10
- None
lora_strength_10 FLOAT
lora_name_11
- None
lora_strength_11 FLOAT
lora_name_12
- None
lora_strength_12 FLOAT
lora_name_13
- None
lora_strength_13 FLOAT
lora_name_14
- None
lora_strength_14 FLOAT
lora_name_15
- None
lora_strength_15 FLOAT
Outputs
MODEL
Extension: ComfyUI-nunchaku
Nunchaku ComfyUI Node. Nunchaku is the inference that supports SVDQuant. SVDQuant is a new post-training training quantization paradigm for diffusion models, which quantize both the weights and activations of FLUX.1 to 4 bits, achieving 3.5× memory and 8.7× latency reduction on a 16GB laptop 4090 GPU. See more details: https://github.com/mit-han-lab/nunchaku
Authored by nunchaku-tech
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