Factual package intelligence from PyPI

sdkit 2.1.1 package intelligence

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,

pip install sdkit

Current version
2.1.1
Python requirement
>=3.8.5
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
233.0 KiB
Release history
240 releases with files
Median release cadence
0 days

sdkit dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. setuptools ==69.5.1
  2. stable-diffusion-sdkit ==2.1.5
  3. gfpgan
  4. piexif
  5. realesrgan
  6. requests
  7. picklescan
  8. safetensors ==0.3.3
  9. k-diffusion ==0.0.12
  10. diffusers ==0.28.2
  11. compel ==2.0.1
  12. accelerate ==0.23.0
  13. controlnet-aux ==0.0.6
  14. invisible-watermark ==0.2.0
  15. huggingface_hub ==0.21.4
  16. torchruntime >=1.13.1
  17. numpy <2

Compatibility and release files

sdkit publishes 1 wheel and 1 source archive for version 2.1.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 240 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.