User Shares Google Flow AI Product Video Creation Experience
Key takeaways
- Free AI video tools can be a starting point but often require significant manual refinement.
- Input quality, like the number of sample images, can impact AI video generation results.
- Combining AI generation with traditional editing software is a practical workflow.
- Sharing practical experiences helps others navigate AI tool limitations.
Who benefits
Summary
A user recounts their experience creating a product video using Google Flow AI, noting glitches and inconsistencies that required manual refinement in CapCut. They share their process and offer the storyboard for others to try.
Why it matters
Professionals can learn about the practical challenges and current limitations of free AI video generation tools, understanding that manual post-production is often still necessary.
How to implement this in your domain
- 1Experiment with free AI video tools like Google Flow for initial drafts.
- 2Provide multiple, high-quality input images to potentially reduce glitches.
- 3Plan for post-production editing in tools like CapCut to refine AI-generated content.
- 4Document and share your experiences to contribute to community knowledge on AI tool efficacy.
Original post by @enepty
"Hari ke-14 latihan bikin video product ✨ Pake tools gratisan Google flow 👉Product nya : postojna parfume saff & co Input: promptnya dan gambar product 📹 Pas proses banyak glitchnya, mungkin karena sample foto yang gua kasih satu doang kali yak🧐 Pas bikin storyboard kek nya Pro…"
View on XOriginally posted by @enepty on X · view source
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