AI UGC Creator for Ads and Product Videos

How to make UGC with AI

Making UGC with AI comes down to three steps: create a believable creator, put your product in their hands, and turn the result into short vertical video. The creator comes first. Train a reusable identity with LoRA character training so the same face fronts every ad, the way a repeat UGC creator would for a brand.

Then generate the product scenes. Models like Nano Banana Pro and GPT Image 1.5 are strong at preserving product details, label text, and packaging while placing the item in selfie-style shots, desk setups, and unboxing scenes. Finally, animate the stills into UGC style clips with image-to-video models like Kling 3.0 and Seedance 1.5 Pro.

The AI tools you need for UGC ads

A working AI UGC stack has four parts, and Fizzly covers all of them. First, a character trainer that keeps your creator consistent between ads. Second, an image generator that respects product fidelity, because an ad with a warped label is unusable. Third, an image-to-video model to convert hero stills into motion: Wan 2.6, Kling, and Seedance each offer different speed and quality tradeoffs on the video generator. Fourth, finishing tools. The free video trimmer and video converter cut clips to length and convert formats for each ad platform without leaving Fizzly.

Why teams prototype UGC with AI first

UGC ads live or die on iteration. With human creators, every new hook, setting, or persona means another brief, shipment, and wait. With a generated creator, a new variation is a new generation, so you can test ten angles in an afternoon and only scale the ones that earn it. Many teams run AI UGC for concept validation and early creative testing, then bring in human creators for the proven winners. Credits keep the cost proportional to what you generate, and the pricing page shows exactly what each model costs per output.