AI-Powered Product Perfection — Part 2 of 2: Leveraging Generative AI Techniques for Diverse, High-Fidelity Product Shot Variations

Part two of a review of the current state-of-the-art Generative AI techniques for creating image variations while maintaining subject accuracy.

Gary A. Stafford
12 min readSep 3, 2024
Pepsi product images generated with LoRA fine-tuned FLUX.1 [dev] model

As discussed in Part 1, at first glance, the images above might appear to be commercial photographs of a Pepsi product on a lush tropical beach, at a picnic in the park, or on the sidelines of an exciting sporting event. The camera angles, perspective, lighting, detail level, composition, and depth of field are excellent. However, as we learned in Part 1, these images are not real; they were generated in ComfyUI using a fine-tuned LoRA model based on the newly released FLUX.1 [dev] model developed by Black Forest Labs.

View of ComfyUI FLUX LoRA workflow used to generate the product images

So What’s the Problem?

According to leading retail consultants, inaccurate product images mislead prospective customers and lead to item returns or, even worse, negative reviews.

Inaccurate product images…

--

--

Gary A. Stafford

Area Principal Solutions Architect @ AWS | 10x AWS Certified Pro | Polyglot Developer | DataOps | GenAI | Technology consultant, writer, and speaker