prompt_description_stable_diffusion_3k

# The Synthetic Description from Prompts Dataset

This dataset is created using the Phi 2 3B Q4_K_S quantized model, using 3k random samples from training set of a base dataset of about 80,000 prompts from the Stable Diffusion dataset on Lexica.art. This dataset is designed to explore the capabilities of language models in generating creative and expanded descriptions from concise prompts.

### Source Data

https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts

# 基于提示词的合成描述数据集

本数据集基于Phi 2 3B Q4_K_S量化模型构建，从Lexica.art平台的稳定扩散（Stable Diffusion）数据集（包含约8万条提示词）的训练集中随机抽取3000条样本。本数据集旨在探索大语言模型（Large Language Model）从简洁提示词生成富有创造性的扩展描述的能力。

### 源数据

https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts

搜集汇总

背景与挑战

背景概述

该数据集基于Lexica.art的Stable Diffusion提示数据集，从中选取3k个随机样本，并利用Phi 2 3B Q4_K_S量化模型生成。它旨在评估语言模型如何从简短提示中创作出更具创意和扩展性的描述。