pyproject.toml

[project]
name = "svdquant"
description = "SVDQuant ComfyUI Node. 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. GitHub: https://github.com/mit-han-lab/nunchaku"
version = "0.1.5"
license = { file = "LICENSE.txt" }
dependencies = []
requires-python = ">=3.10, <3.13"

#[project.urls]
#Repository = "https://github.com/mit-han-lab/nunchaku"
#  Used by Comfy Registry https://comfyregistry.org

[tool.comfy]
PublisherId = "lmxyy1999"
DisplayName = "svdquant"
Icon = "https://raw.githubusercontent.com/mit-han-lab/nunchaku/bfd9aa3ae84f51a26414f1600d725a0098472820/assets/logo.svg"