Experimenting with Google Flow for Product Videos

@enepty· August 4, 2026 View original

Key takeaways

  • Free AI video tools have limitations.
  • Detailed inputs don't guarantee perfect AI outputs.
  • AI may struggle with complex product details.
  • Experimentation is key to understanding tool capabilities.

Who benefits

MarketingE-commerceContent CreationRetail

Summary

The user is experimenting with Google Flow, a free tool, to create product videos for a TUMI suitcase, noting significant glitches despite providing detailed product images.

An individual is documenting their experience using Google Flow, a free AI tool, to generate product videos. For a TUMI suitcase, they provided prompts and multiple product images, including various angles. Despite the detailed input, the generated videos exhibited numerous glitches, leading the user to question whether the AI struggled with the product's complexity or if the tool itself has limitations.

Why it matters

Professionals exploring AI tools for content creation can learn from real-world experiences, understanding current capabilities and limitations of free platforms for video generation.

How to implement this in your domain

  1. 1Test various free AI video generation tools with specific product types.
  2. 2Document input parameters and output quality for analysis.
  3. 3Identify types of products or scenes where AI tools struggle.
  4. 4Provide feedback to tool developers on observed glitches.

Original post by @enepty

"Hari ke-15 latihan bikin video product ✨ Pake tools gratisan Google flow 👉Product nya : koper dari TUMI Input: promptnya dan gambar product (ada juga yang pake storyboard) 📹 hasilnya banyak glitchnya, padahal sampel product lengkap dengan foto 6 sudut berbeda🧐 Apakah karena de…"

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