Introduction

FluffyBreed is a text-to-image model designed for generating artistic and anime-style images. Developed by JujoHotaru, it utilizes the Diffusers library and supports both Japanese and English languages. The model is built upon stable diffusion technologies.

Architecture

FluffyBreed leverages the stable-diffusion and stable-diffusion-diffusers frameworks to transform text prompts into artistic images. It is part of the text-to-image pipeline, focusing on anime and art-themed outputs.

Training

Details about the training process for FluffyBreed are currently under construction. Additional information can be found on the CivitAI distribution page.

Guide: Running Locally

  1. Prerequisites: Ensure Python and necessary libraries are installed. Obtain the model files from the FluffyBreed model folder.
  2. Setup:
    • Clone the repository or download the required files.
    • Install the diffusers library and any other dependencies.
  3. Execution:
    • Load the model and input your text prompt.
    • Generate images using the model's capabilities.
  4. Cloud GPU Recommendation: Consider utilizing cloud services like AWS EC2 instances or Google Cloud for enhanced performance with GPUs.

License

FluffyBreed is licensed under the CreativeML OpenRAIL-M, which provides guidelines for usage and distribution. More details can be found on the license page.

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