enhanceaiteam_uncensored

Introduction

The "ENHANCEAITEAM_UNCENSORED" model, developed by the user ANTHIENLONG on Hugging Face, is a text-to-image generation model utilizing the Diffusers library with the Lora technique. The model's specifics regarding usage and capabilities are currently unclear as it is categorized under an unknown license.

Architecture

The model is based on the "black-forest-labs/FLUX.1-dev" architecture. It leverages the Diffusion-Lora template, a methodology combining diffusion models and the Lora technique for image generation from textual prompts.

Training

Information on the training process, datasets, or any specific hyperparameters used is not provided in the given documentation. The model weight files are available in the Safetensors format, suitable for secure and efficient training and inference.

Guide: Running Locally

To run this model locally, follow these basic steps:

1. Clone the Repository: Download the model files from the "Files & versions" tab on the Hugging Face model card page.
2. Setup Environment: Ensure you have Python and the necessary libraries installed, such as diffusers and transformers.
3. Load Model: Utilize the Hugging Face library to load the model using the provided weights in Safetensors format.
4. Run Inference: Use the appropriate function calls to generate images from text prompts.

For efficient performance, especially with large models, using cloud GPUs such as Google Cloud, AWS, or Azure is recommended.

License

The license for the "ENHANCEAITEAM_UNCENSORED" model is unknown, which might restrict certain uses depending on the license's actual terms. Users should verify the licensing conditions before deployment or commercial use.