Metadata-Version: 2.1
Name: v2v_toolkit
Version: 1.1.1
Summary: Ver2Vision-Toolkit: Unified interface for streamlining 'Verbal Data to Vision Synthesis with Latent Diffusion Models' project. Provides tools for managing low-level downstream tasks.
Home-page: https://github.com/lukaszmichalskii/ver2vision-toolkit
Author: Lukasz Michalski, Szymon Lopuszynski, Wojciech Rymer
Author-email: lukasz.michalski222@gmail.com
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: dask
Requires-Dist: networkx
Requires-Dist: PyYAML
Requires-Dist: setuptools

**Ver2Vision Toolkit** library aims to deliver a unified interface and tools to facilitate the development and execution of *Verbal Data to Vision Synthesis with Latent Diffusion Models* project. 
Provides tools for managing downstream tasks like execution graphs, scheduling, low-level parallelism, and handling dependencies resolution, allowing developers to focus on extending core modules and defining concise configurations. 
Built-in support for fault tolerance, system and processes monitoring, custom configuration and scalable execution, `v2v` library streamlines the process of running experiments in `Ver2Vision` project.
