Unveiling the Best GenAI Model for Retail: A Comparative Study Using Tasq.ai’s Eval Genie

Noa Franko-Ohana

Tasq.ai's Eval Genie offers a comprehensive comparative study to guide retailers in making informed decisions.

Introduction

In the ever-evolving landscape of retail and eCommerce, businesses are constantly seeking innovative ways to captivate their audiences and drive engagement. Generative AI (GenAI) has emerged as a transformative tool in this space, enabling retailers to create visually stunning product presentations, immersive lifestyle imagery, and impactful marketing materials. From curating product catalogs to designing contextual advertisements, GenAI is reshaping how brands connect with their customers.

However, as the demand for high-quality AI-generated content grows, so does the challenge of selecting or optimizing the right model for the job. Retailers are faced with a pivotal question: How can they ensure their GenAI models deliver the best results for their specific needs? Whether using pre-trained, off-the-shelf models or fine-tuning proprietary ones, the ability to evaluate and measure performance accurately is essential to maintaining a competitive edge in a dynamic market.

This is where Eval Genie by Tasq.ai comes into play—a groundbreaking platform designed to evaluate GenAI models with precision and adaptability. Eval Genie simplifies the evaluation process, allowing businesses to either test leading off-the-shelf models or connect their own custom models to generate and analyze outputs. With Eval Genie, all it takes is uploading or generating your data, and the platform—powered by a combination of automated scoring metrics and a trained, global workforce—delivers actionable insights tailored to your retail use cases. Eval Genie doesn’t just provide metrics; it ensures evaluation results reflect real-world expectations by integrating feedback from diverse human evaluators across the globe.

To demonstrate the platform’s capabilities, we leveraged Tasq.ai’s Eval Genie to conduct an in-depth comparison of four leading GenAI models: Flux Dev, Flux Pro, Stable Diffusion 1.5, and Stable Diffusion XL. This evaluation process was tailored to retail-specific scenarios, covering diverse challenges such as product imagery, lifestyle content, and marketing assets. By harnessing Eval Genie’s unique ability to combine automated metrics with human validation, we gained comprehensive, insightful results that highlight the strengths and weaknesses of each model.

Whether you’re looking to identify the best-performing off-the-shelf models or optimize your proprietary solutions, Eval Genie empowers retailers to make data-driven decisions that maximize the impact of their AI investments. Its adaptability, combined with precise evaluation metrics and human-in-the-loop validation, makes Eval Genie an indispensable tool for businesses aiming to stay ahead in the competitive retail market.

The Setup: Evaluating Retail-Specific Scenarios

We tested four leading GenAI models—Flux Dev, Flux Pro, Stable Diffusion 1.5, and Stable Diffusion XL—using Eval Genie. The evaluation focused on retail-centric challenges, such as product presentation, lifestyle imagery, packaging, and advertisements.

To maintain relevance, we crafted prompts tailored to common retail use cases. For instance:

  • Product Presentation: “A realistic image of a sleek red handbag displayed on a white background.”
  • Lifestyle Imagery: “A young woman enjoying coffee in a café while wearing a branded scarf.”
  • Retail Settings: “A boutique shop with mannequins dressed in high-fashion apparel.”

     

Eval Genie ran these prompts across all four models, generating a comprehensive set of images evaluated through both automated scoring and global human validation.

These prompts were aimed at testing the models’ abilities across diverse challenges—from product-specific visuals to contextual lifestyle imagery and retail settings.

The Evaluation Process

Eval Genie’s evaluation framework was pivotal in determining which model excelled across key parameters. The evaluation process combined the power of advanced metrics with the irreplaceable insights from human-in-the-loop validation. By targeting evaluators globally, we captured diverse perspectives and ensured the feedback truly reflects market needs. Each evaluation was conducted using four key metrics:

  • Aesthetics Score: Evaluating the visual appeal and realism of the generated images.
  • Prompt Alignment Score: Measuring how accurately the output aligns with the given prompt.
  • Overall Score: A composite metric combining all aspects of image generation quality.
  • Defects Score: Identifying and quantifying any defects or inaccuracies in the generated images.

By integrating human feedback and automated scoring, Eval Genie provided an unparalleled level of insight into the performance of each model.

Key Findings: Model Performance Highlights

After running the evaluation using Eval Genie, the results painted a clear picture of the strengths and weaknesses of each model. The scores were derived from a combination of advanced automated metrics and human-in-the-loop validation.

Let’s dive into the findings:

Winner: Flux Pro

Flux Pro emerged as a top performer, tied with Flux Dev with an Model Average Score of 4.44. Its standout capability lies in producing vibrant and contextually rich visuals, especially excelling in lifestyle imagery. This model seamlessly integrated branded elements, making it particularly strong for marketing and advertisement use cases.

  • Top Example: A sleek red handbag displayed on a white background achieved a perfect overall score of 5, Aesthetic of 4.8 and defect and prompt alignment – 5  for its outstanding aesthetics and flawless alignment with the prompt. Putting it at the top of the leaderboard.

Runner-Up: Flux Dev

Flux Dev achieved a commendable Model Average Score of 4.39, showcasing strong performance in product presentations. However, it fell slightly behind Flux Pro due to minor defects, particularly in marketing and ads use cases, rendering intricate details like logos.

Balanced Performer: Stable Diffusion XL
Stable Diffusion XL earned an Model Average Score of 3.19, demonstrating solid performance in retail-specific settings and packaging tasks. While it handled details well, it lacked the vibrancy and creativity of the Flux models.
If we take a look at the defect distribution metric it got an average score of 2.76.

Loser: Stable Diffusion 1.5

Stable Diffusion 1.5 scored the lowest with a Model Average Score of 2.59. While it delivered consistent results, its lack of depth in realism and contextual alignment made it the weakest contender. Despite its reliability, this model struggled to meet the high standards required for retail-specific use cases, especially with generated people in the image.

Why Flux Pro Stands Out: A Closer Look at the Leaderboard

Flux Pro’s exceptional performance is highlighted in its top 10 highest-rated images, which spanned a variety of retail-specific use cases.

  • Luxury Watch Close-Up (Overall Score: 4.85): Demonstrated fine detail and premium appeal, perfect for high-end retail ads.
  • Olive Oil Bottle on Rustic Table (Overall Score: 4.7): A perfect balance of product presentation and lifestyle elements.

What Makes Eval Genie Unique?

Eval Genie’s combination of automated metrics and global human validation ensured a holistic and unbiased assessment. The process not only measured quantitative scores but also captured qualitative insights that reflect real-world expectations.

Conclusion: The Future of GenAI in Retail

This experiment underscores the transformative potential of GenAI in retail. By leveraging tools like Tasq.ai’s Eval Genie, businesses can make informed decisions about which models align with their specific needs. Whether it’s enhancing product catalogs, creating immersive lifestyle imagery, or designing impactful advertisements, the right GenAI model can be a game-changer.

As we continue to explore the capabilities of GenAI, one thing is clear: the synergy between cutting-edge models and robust evaluation frameworks will shape the future of retail innovation. Stay tuned for Part 2 of our series, where we delve deeper into advanced metrics and emerging trends in GenAI evaluation.

Ready to transform your retail visuals with GenAI? Explore Eval Genie and discover the perfect model for your business.