minecraft concept art

Introduction

The Minecraft Concept Art is a model within the Stable Diffusion Concepts Library designed to generate art in the style of Minecraft. It is implemented using a method called Textual Inversion.

Architecture

The model is built on Stable Diffusion, a popular machine learning framework for generating images from textual descriptions. Textual Inversion is utilized to teach new concepts to the model, allowing it to generate concept-specific images.

Training

Training involves using a Jupyter Notebook hosted on Google Colab to incorporate new concepts into the model. The Stable Conceptualizer notebook can be used to load these concepts into the concept library. Users can train their own concepts by following the instructions provided in the Textual Inversion training notebook.

Guide: Running Locally

To run the Minecraft Concept Art model locally:

1. Clone the repository from the Hugging Face model hub.
2. Install the necessary dependencies as outlined in the README.md file.
3. Use the provided notebooks for inference and training to run the model.

For optimal performance, especially during training, it is recommended to use cloud-based GPUs such as those available through Google Colab or AWS.

License

The model is released under the MIT License, which allows for extensive freedom in usage, modification, and distribution, provided that the original license terms are included with any substantial portions of the software.