Example: Using Image Generation for Handbag Fashion Models

Background

Integrating Generative AI (GenAI) into fashion product imaging presents exciting opportunities but also significant challenges. While GenAI has successfully replicated photo styles and characters, applying it to product imaging, especially in fashion, remains tricky due to current technological limitations. This study explores using Stable Diffusion (SD) to generate high-quality handbag images.

The Challenge

Creating attractive images for fashion items like handbags is challenging. Studio photoshoots are costly and time-consuming. Our goal was to train a custom Stable Diffusion (SD) model to generate detailed and stylish images of luxury handbags. This way, users can easily create the professional-looking images they need with specific prompts.

Training the Model

To achieve the desired outcome, we embarked on a journey to train a custom SD model capable of generating complex handbag images. The process involved several key steps:

1. Data Collection: Since Hermès, the luxury fashion brand, does not conduct regular fashion photoshoots, we resorted to using arbitrary Internet photos for our training set. This included images of celebrities carrying Hermès handbags in various settings. Example dataset can be downloaded here.

1. Model Training: Leveraging the Stable Diffusion model, we trained our custom model to learn our images.
   1. For those familiar with SD XL Lora training, the standard guide can be followed: Train Custom Lora for Fashion Clothes in Stable Diffusion
   2. For others, we recommend using Jinta.AI, which simplifies the process significantly.
2. Generation and Evaluation: After the training process, we generated new handbag images. The results were then compared with the original training set to evaluate the model's performance and accuracy. See examples:

Conclusion

Using Stable Diffusion for handbag fashion models shows significant potential. Despite current limitations, the ability to train custom models using existing guiding photos paves the way for innovative and efficient fashion product imaging. As technology advances, AI-generated images will become more refined, transforming fashion photography and marketing.

This case study highlights the potential and challenges of GenAI in fashion. With tools like Stable Diffusion and platforms like Jinta.AI, we can revolutionize fashion product visualization, making high-quality imagery more accessible and cost-effective.