Factual package intelligence from PyPI

markdiffusion 1.0.2 package intelligence

An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models

pip install markdiffusion

Current version
1.0.2
Python requirement
>=3.10
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
59.1 MiB
Release history
10 releases with files
Median release cadence
1 days

markdiffusion dependencies

PyPI declares 42 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.20
  2. Pillow >=8.0
  3. opencv-python-headless >=4.10
  4. requests >=2.26
  5. tqdm >=4.60
  6. scipy >=1.7
  7. matplotlib >=3.4
  8. diffusers >=0.25
  9. transformers >=4.30
  10. accelerate >=0.20
  11. huggingface_hub >=0.16
  12. ujson >=5.10.0
  13. datasets >=2.0
  14. sentence-transformers >=5.0.0
  15. joblib >=1.5.1
  16. pandas >=1.4
  17. pycryptodome >=3.23
  18. torch <2.11,>=2.4
  19. torchvision <0.26,>=0.19
  20. setuptools <81

The compact report shows 25 of 42 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

markdiffusion publishes 1 wheel and 1 source archive for version 1.0.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .