ComfyUI Node: Nunchaku FLUX PuLID Apply V2
Category
Nunchaku
Inputs
model MODEL
pulid_pipline PULID_PIPELINE
image IMAGE
weight FLOAT
start_at FLOAT
end_at FLOAT
attn_mask MASK
options OPTIONS
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
Run ComfyUI workflows in the Cloud!
No downloads or installs are required. Pay only for active GPU usage, not idle time. No complex setups and dependency issues
Learn more