noobai X L Vpred experiments

Introduction
The NOOBAI-XL-VPRED-EXPERIMENTS is a repository focused on experimental models for V prediction. It is designed for text-to-image tasks using advanced diffusion models. The repository is not for public sharing and requires adherence to access restrictions.

Architecture
The model operates using the 'diffusers' library and is based on the Laxhar/sdxl_noob base model. It utilizes the stable-diffusion and stable-diffusion-xl frameworks for generating images from text.

Training
Details about the training process are not specified in the available documentation. However, the model is likely trained within the constraints of the stable-diffusion frameworks, leveraging large datasets to enhance text-to-image generation capabilities.

Guide: Running Locally

1. Set Up Environment: Ensure you have Python and necessary libraries like 'diffusers' installed.
2. Clone Repository: Use Git to clone the repository from Hugging Face.
3. Install Dependencies: Navigate to the cloned directory and install dependencies using pip install -r requirements.txt.
4. Run Model: Execute the provided scripts or Jupyter notebooks to start generating images from text inputs.

For optimal performance, it's recommended to use cloud GPU services such as AWS, Google Cloud, or Azure to handle the intensive computational requirements.

License
The model is licensed under the Fair AI Public License 1.0 SD. More details can be found at https://freedevproject.org/faipl-1.0-sd/.