# Prompt Optimization

PragmaticLM is a T5 fine-tuned model specifically designed for restructuring user prompts to enhance the comprehension of downstream large language models.

A specialized model fine-tuned based on Flan-T5-Small, designed to optimize prompts, titles, and annotation texts, improving text quality and richness.

A LoRA model based on FLUX.1-dev, specializing in text-to-image tasks, particularly suited for generating mandala-style drawings.

An open-source video caption generator fine-tuned on GPT4V-annotated data, supporting videos of various durations, aspect ratios, and resolutions

BPO is a training-free black-box alignment technique that improves model output quality by optimizing user input prompts.

HassanBlend1.4 is a stable diffusion model developed by Hassan, focusing on text-to-image generation tasks and providing high-quality image generation capabilities.

The MVP Multi-task Model is a prompt-based pre-trained model optimized with mixed annotated datasets, specifically designed for various natural language generation tasks.