Factual package intelligence from PyPI
MIRO: Multi-reward conditioned pretraining for text-to-image diffusion (ICML 2026)
pip install miro-t2i
PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.27>=0.23>=0.4>=2.1>=4.40The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.
miro-t2i publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .