The Power of Generative AI in Fashion: Creating a Personalized Experience with Amazon Titan Models
As we enter the era of generative AI, the use of agents that simulate human actions and behaviors is becoming increasingly popular among enterprises looking to develop production-ready applications. These agents are capable of interacting with users, performing tasks, and making decisions, all while exhibiting humanlike intelligence. By combining agents with foundation models (FMs) from the Amazon Titan in Amazon Bedrock family, customers can create complex and multimodal applications that enable the agent to understand and generate natural language or images.
Imagine a scenario in the fashion retail industry where an assistant powered by agents and multimodal models provides customers with a personalized and immersive experience. This assistant engages in natural language conversations to understand the customer’s preferences and intents. By leveraging multimodal capabilities, it can analyze images of clothing items and make tailored recommendations based on the customer’s input. Additionally, the agent can generate visual aids like outfit suggestions, further enhancing the overall customer experience.
Building the Fashion Assistant Agent
In this post, we demonstrate how to implement a fashion assistant agent using Amazon Bedrock Agents and the Amazon Titan family models. The fashion assistant offers a personalized, multimodal conversational experience with features such as:
- Image-to-image or text-to-image search – Enhancing user experience by allowing customers to find products similar to styles they like from the catalog.
- Text-to-image generation – Generating unique, customized images based on user queries.
- Weather API connection – Suggesting appropriate styles based on the weather by fetching weather information for a given location.
- Outpainting – Allowing users to change the background of uploaded images to visualize preferred styles in different settings.
- Inpainting – Modifying specific clothing items in uploaded images while keeping the background intact.
Setting Up the Fashion Assistant Agent
To set up the fashion assistant agent, you’ll need:
- An active AWS account with AWS IAM role access.
- Required Python libraries like Streamlit installed.
- Amazon Titan Image Generator and Multimodal Embeddings models enabled in Amazon Bedrock.
Conclusion
The fashion assistant agent, powered by Amazon Titan models and Amazon Bedrock Agents, showcases the potential for retailers to create innovative applications that elevate the customer experience. By leveraging this solution, retailers can offer personalized style recommendations, visual inspirations, and interactive fashion advice to their customers. We encourage you to explore and build more agents like this fashion assistant using the examples available on the aws-samples GitHub repository.
About the Authors
Akarsha Sehwag, Yanyan Zhang, Antonia Wiebeler, Alex Newton, Chris Pecora, and Maira Ladeira Tanke are experts in the field of generative AI and data science, working on cutting-edge technologies to empower customers and drive innovation.