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Author:
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Summary:
sdkit (stable diffusion kit) is an easy-to-use library for using Stable Diffusion in your AI Art projects. It is fast, feature-packed, and memory-efficient. It bundles Stable Diffusion along with commonly-used features (like SDXL, ControlNet, LoRA, Embeddings, GFPGAN, RealESRGAN, k-samplers, custom VAE etc). It also includes a model-downloader with a database of commonly used models, and advanced features like running in parallel on multiple GPUs, auto-scanning for malicious models etc.
Latest version:
2.1.1
Required dependencies:
accelerate
|
compel
|
controlnet-aux
|
diffusers
|
gfpgan
|
huggingface_hub
|
invisible-watermark
|
k-diffusion
|
numpy
|
picklescan
|
piexif
|
realesrgan
|
requests
|
safetensors
|
setuptools
|
stable-diffusion-sdkit
|
torchruntime
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