Original Summary

Disclosure: I’m building RelayMe, a visual AI workflow tool. I wanted to share a small, documented example of what a product-video workflow actually costs. In a test we documented in August 2026, the workflow was: Product description → generated product image → image-to-video → manual review We started with a text description and generated a square, white-background image of a thermos cup. That image then became the starting frame for a short video. The generation costs were: Product image: 20 credits using Nano Banana’s special-offer channel. Video: 600 credits using Veo 3.1 Fast, for a 4-second, 720p clip with audio. Total: 620 credits, approximately US$0.62 at the conversion used for that test. That’s a historical example for one run. Current model prices and promotional rates can change, and human review and editing add to the cost. The useful part of this workflow is the checkpoint between the image and the video. Before spending credits on motion, you can inspect the still image: does the product have the right shape, are the proportions believable, and is the composition something you would actually use? For a real product campaign, I’d start with an accurate product photo and pay particular attention to packaging, logos, and labels. Our generated thermos example doesn’t establish how faithfully the workflow preserves a real SKU. For the first video attempt, I’d keep the shot simple: A slow camera push-in toward the product on a clean studio surface. Subtle background movement. Keep the product’s shape, proportions, and surface details consistent throughout the shot. That’s a suggested starting prompt, rather than the exact prompt from the recorded test. After generation, review the entire clip for shifting labels, changing shapes, unnatural movement, and anything that misrepresents the product. For budgeting, the number I’d track is: Total generation spend ÷ number of clips that pass review That includes paid attempts you end up discarding. A single successful render gives you a useful starting point; several batches give you a more realistic production budget. The workflow and dated example are documented here: https://www.relayme.ai/blog/product-image-to-video-workflow If you’re making product videos with AI, which part takes the most work: preserving product details, getting natural motion, or reviewing all the variations?   submitted by   /u/DustinYoungLee [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/20 00:02:26