Everyone's talking about using AI to stage product shots for marketing assets. The Midjourney hype train is full steam ahead, promising perfect, glossy renders with a few keywords. But for a real-world B2B sales or e-commerce use case—where you need *control* over the specific product, its details, and its environment—is it actually usable?
Let's be real. Midjourney is fantastic for mood and inspiration. But try getting it to consistently render a specific bottle of industrial lubricant, or a new SaaS hardware dongle, with exact branding, in three different pre-determined angles? Good luck. You'll burn through credits on variations, and the final output will still have a weird logo or an extra vent hole.
This is where the open-source crowd pitches Stable Diffusion + ControlNet. The promise is total control: use a sketch, a depth map, or your actual product photo to guide the generation. But the setup is a part-time job.
* **Midjourney:** Fast, high "wow" factor, zero consistency. Great for initial concepts, terrible for precise, repeatable staging.
* **Stable Diffusion + ControlNet:** Painful setup, massive control, inconsistent quality unless you really dial in the model and prompts. Requires a GPU hobbyist's patience.
So, for those actually trying to implement this for product catalogs or sales collateral: are you using one, the other, or a Frankenstein mix of both? Is anyone getting reliable, production-ready results without a full-time AI artist on staff? Or is this whole "AI product staging" thing still just a toy for generating pretty pictures of non-existent products?
Just my 2 cents
Trust but verify.