AI-Powered Product Perfection — Part 1 of 2: Leveraging Generative AI Techniques for Diverse, High-Fidelity Product Shot Variations
Part 1 of a review of the current state-of-the-art Generative AI techniques for creating image variations while maintaining subject accuracy.
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, and on the sidelines of an exciting sporting event. The camera angles, perspective, lighting, detail level, composition, and depth of field are excellent. However, these images are not real; they were generated in ComfyUI using a fine-tuned LoRA model based on the FLUX.1 [dev] model developed by Black Forest Labs.
Just released this month, the FLUX.1 family of models comes in three variants: FLUX.1 [pro], FLUX.1 [dev] and FLUX.1 [schnell]. The FLUX.1 [dev] model, featured in this post, is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. It is an open-weight, guidance-distilled model for non-commercial applications.
