Diff Sensei

Introduction
DiffSensei is a model designed to bridge multi-modal large language models (LLMs) and diffusion models for customized manga generation. The project aims to enhance the integration of textual and visual data to improve the quality and customization of generated manga content.

Architecture
The model architecture leverages the strengths of both LLMs and diffusion models. It integrates these two approaches to enable the generation of high-quality manga by effectively processing and combining text and image data.

Training
Details on the training process for DiffSensei are available in the corresponding arxiv paper. The paper provides insights into the methodology and the data used for training the model, ensuring it can generate customized manga content.

Guide: Running Locally

1. Clone the repository from GitHub: git clone https://github.com/jianzongwu/DiffSensei
2. Navigate to the project directory: cd DiffSensei
3. Install the necessary dependencies, typically listed in a requirements.txt file.
4. Run the local server or script as specified in the documentation.

For optimal performance, consider using a cloud GPU service such as AWS, GCP, or Azure, which can provide the necessary computational resources for running the model effectively.

License
The DiffSensei model and its associated code are licensed under the MIT License, which allows for open-source usage, modification, and distribution.