Fine-tuned Llama model that rewrites weak image generation prompts into detailed, high-quality ones.
Project Overview
This project is a fine-tuned Llama workflow for upgrading weak image prompts into stronger, more descriptive prompts that image generation models can use more effectively.
What I Built
- Prompt-rewriting model workflow
- Llama-based fine-tuning setup
- Better prompt structure for image generation
- Practical generative-AI utility
Problem
Image quality often depends more on prompt quality than people expect, but many users do not know how to expand a vague idea into a precise prompt that a model can use well.
Solution
I fine-tuned a Llama-based system to transform rough prompts into stronger, more detailed prompt candidates for image-generation workflows. The goal was to reduce prompt-engineering friction while keeping the original intent intact.
Why It Matters
This gives prompt rewriting a very practical use case with clear before-and-after value instead of treating prompting like a vague creative trick.
Stack
- Llama
- Python
- Fine-tuning
- Prompt engineering
What I Learned
This project showed me that prompt quality itself can be treated like a modeling problem.
- better structure often beats simply adding more words
- fine-tuning is useful when output style needs consistency
- practical prompt tools can save real time in generative workflows