poolsuite diffusion

Introduction

Poolsuite-Diffusion is a fine-tuned version of Stable Diffusion, designed by PromptHero, specifically for generating images in the Poolsuite style. The model converts text prompts into images, leveraging the StableDiffusionPipeline and diffusers library.

Architecture

The model utilizes the Stable Diffusion framework, a popular choice for text-to-image generation tasks. Fine-tuned on Poolsuite imagery, it enhances the original Stable Diffusion capabilities to produce outputs characteristic of the Poolsuite aesthetic.

Training

The model is trained using images from the Poolsuite platform, focusing on achieving a distinctive visual style. This fine-tuning is performed on top of pre-existing Stable Diffusion architecture, adapting it for specific artistic outputs.

Guide: Running Locally

To run Poolsuite-Diffusion locally, follow these steps:

1. Set up your environment:

   • Install Python and necessary libraries (e.g., PyTorch, Transformers).
   • Clone the Poolsuite-Diffusion repository.

2. Install dependencies:

   pip install -r requirements.txt
   

3. Download the model:

   • Access the model files from Hugging Face's model hub.

4. Run the model:

   • Use a script to load the model and generate images from text prompts.

For optimal performance, consider using a cloud GPU service like AWS, GCP, or Azure.

License

The Poolsuite-Diffusion model is distributed under the CreativeML OpenRAIL-M license, allowing for creative and non-commercial use with certain restrictions.