Image-To-Image
Customizing AI Fashion Models Based On User-Uploaded Images
As a product designer at Huhu AI, an AI virtual try-on company, I researched, designed, and delivered a key product feature leveraging the Flux Realism model, successfully securing a $500K business deal with Cider due to its rapid delivery. During the latter pilot testing stage, I implemented client feedback and drove product improvements, increasing internal image generation efficiency by 30%.
ROLE
Product Designer
Product Researcher
Prompt Engineer
TEAM
CEO, 1 Product Manager (Co-Founder), 1 Front-End Engineer, 1 Back-End Engineer, 1 AIGC Scientist,
DURATION
Oct 2024 - Present
WHAT I DID
AI Model Research
Prompt Engineering
Prompt Template
PRD Drafting
Wireframing
Prototyping
Design Review Workshop
CONTEXT
Huhu AI is a platform to create custom AI models and generate try-on images.
There are two parts of the service: creating AI models with user-selected traits (e.g., gender, race, age) and generating try-on images. The company targets fast fashion companies aiming to save costs on traditional fashion photoshoots.

Service 1: Fully Customizable AI models

Service 2: AI Try-on Images
PROBLEM
Text prompts are insufficient in creating the AI models our clients envision.
Initially, the AI model creation feature was basic: users could select from predefined attributes via dropdown menus, and the system would generate an image based on those selections. However, this approach didn’t address a crucial need: capturing the client’s envisioned aesthetic, which is often better conveyed through images than text prompts.

NEED
We need a feature for users to upload a reference image and generate customizable outputs that match its vibe.

PROCESS
Delivering an MVP playground product to secure potential clients
The first part of the project is to build an intuitive interface to serve as a playground to demonstrate our technology during client pitches. I was the sole researcher and designer, delivering the project end-to-end.

Iterate the tool for better automation to support enterprise-scale deals
Moving forward to the pilot testing stage with our clients, I was one of three generating AI model and try-on images. My hands-on research and proactive development of SOPs positioned me as a pseudo-product manager, driving product iterations.

IMPACT
The playground demo advanced 3 major clients to pilot testing.


The iterated features drove internal image generation efficiency by ~30%.

DESIGN DECISIONS
Converting complex model capabilities into user-friendly interfaces guided by design principles.
The image-to-image feature, built based on Flux Realism model, began as a Gradio demo by our AIGC scientist. Through daily interactions with the Gradio demo, I made key design decisions to convert my understanding of the model's capabilities into intuitive, user-friendly interfaces.

Since the product is going to act as a playground demo for client pitches, I focused on two design principles: intuitive and frictionless. Intuitive means clear, bias-free affordances, while frictionless ensures seamless interactions, aligning expectations with actions.

001
Selection of Similarity Levels
First, I selected the appropriate components from the design system and tailored their variables based on the documentation and the specific content of the page.
REFLECTION
Experimentation is Key to Human-Centered AI

Joining this project just weeks after starting was an exciting journey. By diving deep into our AI model, I gained a solid understanding of its capabilities and limitations, which became the foundation for designing intuitive interfaces.

Navigating ambiguity while running prompt engineering experiments was both challenging and rewarding. By iteratively testing and refining keywords, I uncovered patterns in the model's behavior, which informed both the design and functionality of the feature.
Efficiency Comes With Good Communication

A 1.5-week timeline required intense focus and adaptability. I ensured continuous alignment with the team to keep us moving efficiently.
Usability Over MVP Constraints

Even in the rush to launch, usability remained a priority from my perspective. By prototyping multiple interface options and hosting a design review, I ensured the solution worked seamlessly for users while finding practical compromises with developers.