aether pixel lora for sdxl

Introduction

Aether PIXEL - LoRA for SDXL is a model designed to transform images into a pixelated, dissolving effect. It is part of the text-to-image pipeline and is based on the StabilityAI Stable Diffusion XL base model. The model does not require negative prompts for straightforward tasks and is ideal for generating images with a pixel dissolution effect.

Architecture

The model is built using the Stable Diffusion XL base 1.0 and employs LoRA (Low-Rank Adaptation) technology to create unique pixelated effects in generated images. The model responds to the prompt "dissolving into pixels," which triggers its primary effect.

Training

The Aether PIXEL - LoRA was fine-tuned using Lastben's SDXL LoRA trainer, with sponsorship from RunDiffusion. This training allows the model to effectively apply the pixelation effect across a range of subjects and styles, as illustrated in various example images.

Guide: Running Locally

To run the Aether PIXEL - LoRA model locally, follow these steps:

1. Install Dependencies: Make sure you have Python and the necessary libraries such as Hugging Face's Transformers and Diffusers.
2. Clone the Repository: Download the model files from the Hugging Face model hub.
3. Load the Model: Use the from_pretrained method to load the model and pipeline.
4. Generate Images: Input your desired prompts, including the keyword "dissolving into pixels," to generate images.

For enhanced performance, consider using cloud GPUs from providers such as AWS, Google Cloud, or RunDiffusion.

License

The model is released under a non-specified "other" license. Please refer to the model's documentation or contact the author for further licensing details.