A P T stable diffusion auto prompt

Introduction

The APT-Stable-Diffusion-Auto-Prompt project provides an implementation for generating prompts automatically using Stable Diffusion. This repository contains the necessary files and documentation to set up and run the model locally.

Architecture

The model is built on top of the Stable Diffusion framework, which is designed for generating images from text prompts. The auto-prompting feature leverages the capabilities of Stable Diffusion to suggest prompts automatically based on input data.

Training

The training process for this model involves fine-tuning the Stable Diffusion network with a dataset that includes a wide range of text-image pairs. This ensures the model can generate diverse and contextually relevant prompts.

Guide: Running Locally

To run the APT-Stable-Diffusion-Auto-Prompt model locally, follow these steps:

1. Clone the Repository: Use git clone to download the repository to your local machine.
2. Install Dependencies: Navigate to the project directory and install the required packages using pip install -r requirements.txt.
3. Download Pre-trained Models: Ensure you have the pre-trained models necessary for running Stable Diffusion.
4. Run the Model: Execute the provided scripts to start generating prompts.

For optimal performance, it is recommended to use cloud GPUs such as those provided by AWS, Google Cloud, or Azure, especially for large-scale operations.

License

This project is licensed under the Apache 2.0 License, allowing for both personal and commercial use with proper attribution.