Factual package intelligence from PyPI
Pure MLX port of Baidu ERNIE-Image (8B text-to-image DiT) for Apple Silicon inference — includes the 3B Ministral3 Prompt Enhancer
pip install ernie-image-mlx
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.26.0>=0.2.2>=0.31.0>=0.31.0>=1.26.0>=10.0.0>=0.4.0>=4.50.0ernie-image-mlx publishes 1 wheel and 1 source archive for version 0.3.1. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.