Fashion-Hut-Modeling-LoRA is a diffusion-based text-to-image generation model specifically designed to create high-quality images of fashion models. The model utilizes specific training parameters and datasets to generate fashion photography images with particular styles and details based on text prompts. It holds significant application value in fashion design and advertising, enabling designers and advertisers to swiftly generate creative concept images. The model is still in the training phase, which may result in some less-than-ideal generation outcomes, but it has already demonstrated considerable potential. The training dataset includes 14 high-resolution images and employs parameters like the AdamW optimizer and a constant learning rate scheduler, with a focus on image detail and quality during training.