robo diffusion

Introduction

Robo-Diffusion is a dreambooth-method finetune of the Stable Diffusion model, specifically designed to generate robot-themed images. This model is optimized for creating visually appealing robotic art from text prompts.

Architecture

Robo-Diffusion is based on the Stable Diffusion architecture. It leverages the capabilities of this architecture to produce high-quality text-to-image outputs, with a specific focus on robotic imagery. The model was finetuned using the DreamBooth method to enhance its ability to generate detailed and stylistic robot images.

Training

The training process involved finetuning the base Stable Diffusion model using the DreamBooth technique. This method allows for the creation of specialized, high-fidelity outputs by focusing on a specific subject, in this case, robots. The model was trained to recognize and prioritize robotic features when generating images from text inputs.

Guide: Running Locally

To use Robo-Diffusion locally, follow these steps:

1. Clone the Robo-Diffusion repository from GitHub:

   git clone https://github.com/nousr/robo-diffusion
   cd robo-diffusion
   

2. Set up the Python environment and install dependencies:

   pip install -r requirements.txt
   

3. Execute the model script with your desired text prompt, keeping "nousr robot" at the start of the prompt to ensure the finetuned style:

   python run_model.py --prompt "nousr robot futuristic design"
   

To utilize cloud resources, consider using platforms like Google Colab, which provides free GPU access to enhance model performance and speed up image generation.

License

The use of this model is governed by the CreativeML Open RAIL-M license. Usage implies acceptance of the terms outlined in this license. For more details, refer to the license file.