llama 3.2ft_flux prompting

Introduction

The FLUX Prompt Enhancer is a specialized version of the Ollama model, designed to convert plain text into dynamic image prompts with enhanced creativity and vibrancy. It is a fine-tuned version of the Llama-3.2-3B-Instruct-uncensored model, offering improved prompt generation capabilities over traditional AI image generators.

Architecture

The model is based on the Llama-3.2 architecture, fine-tuned for enhanced prompt generation. It tends towards creating bold and imaginative interpretations, specifically designed to work well with short, simple inputs.

Training

The FLUX Prompt Enhancer builds upon the chuanli11/Llama-3.2-3B-Instruct-uncensored model. Fine-tuning has been performed to improve the model's ability to generate detailed, content-rich prompts that are more engaging than standard AI image generators.

Guide: Running Locally

1. Setup: Clone the model repository from the Hugging Face or Ollama platform.
2. Environment: Ensure you have the necessary dependencies installed, typically using Python and libraries like PyTorch or TensorFlow.
3. Configuration: Set the model's parameters, such as temperature: 0.5 and top_p: 0.9, for optimal prompt generation.
4. Execution: Use the template: "Create a flux prompt from the given text: {your_prompt}" to generate prompts.
5. Hardware: Utilize cloud GPUs from providers like AWS, Google Cloud, or Azure for efficient model performance.

License

The model and its derivatives are subject to the licensing terms provided by the original authors. Ensure compliance with any usage restrictions or requirements as specified in the model's repository.