Fragments_V2 Model

Introduction

This document provides details on the second embedding for Stable Diffusion v2 768, named "fragments_v2." It includes examples of generated images and corresponding prompts.

Architecture

The model utilizes the Stable Diffusion v2 framework, which is designed for generating detailed, intricate images. The architecture is optimized for high-resolution outputs, supporting multiple samplers and configuration options.

Training

The model was trained using the Stable Diffusion v2 environment, focusing on creating detailed and intricate images with various effects like VFX ashes particles.

Guide: Running Locally

To run the model locally, follow these steps:

1. Install Dependencies: Ensure you have Stable Diffusion and its dependencies installed.
2. Download Model: Get the fragments_v2 model from the Hugging Face repository.
3. Run Inference: Use a Python script or notebook to load the model and generate images based on your prompts.

For optimal performance, it is recommended to use cloud GPUs such as those offered by Google Cloud, AWS, or Azure.

License

The fragments_v2 model is distributed under the OpenRAIL license, allowing for open and permissible use in various applications.