cafe instagram unofficial

Introduction
The Cafe Unofficial Instagram Test Model is a text-to-image generation model trained on approximately 140,000 Instagram images. These images primarily originate from Japanese accounts, including cosplay, model, and personal accounts. The model is designed to generate Instagram-style images, although its full potential is realized when combined with another model, such as "berry" or "anything."

Architecture
This model is based on the Stable Diffusion architecture, which is commonly used for generating images from text descriptions. The architecture is designed to capture the unique aesthetics of Instagram images, particularly those from Japanese accounts.

Training
The model was trained using a dataset of around 140,000 images sourced from Instagram, focusing on Japanese content. The training process involved utilizing these images to fine-tune the model's ability to generate realistic images that mimic the style and content typically found on Instagram.

Guide: Running Locally

1. Clone the repository from Hugging Face to your local machine.
2. Ensure you have a Python environment set up, preferably using virtualenv or conda.
3. Install the required dependencies listed in the requirements.txt file.
4. Use a script or a Jupyter notebook to load the model and input text prompts to generate images.
5. For better performance and faster processing, consider using cloud GPUs from providers such as AWS, Google Cloud, or Azure.

License
The model is available for use under the terms specified by the creators. Ensure to review the licensing agreement for any restrictions or requirements when using the model.