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<title>felice860のブログ</title>
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<title>I Started Saving My AI Video Prompts Instead of</title>
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<![CDATA[ <p>A few weeks ago, I realized something strange.</p><p>I wasn't saving the videos I generated anymore.</p><p>I was saving the prompts.</p><p>Recently I've been spending a lot of time experimenting with AI video creation after work.</p><p>Not because I need videos for a project.</p><p>Mostly because I'm curious about how different prompts change the final result.</p><p>My current workflow is surprisingly simple:</p><ol><li><p>Start with a single idea</p></li><li><p>Write a short scene description</p></li><li><p>Generate a 5-second test video</p></li><li><p>Adjust the camera movement</p></li><li><p>Repeat until something feels right</p></li></ol><p>One of my recent experiments was:</p><p>"A quiet coffee shop on a rainy evening. Warm lights. Slow camera push-in. People reading near the window."</p><p>The first result looked okay.</p><p>The second result felt more cinematic.</p><p>The third one finally captured the mood I had imagined.</p><p>That's when I started saving prompts instead of videos.</p><p>Because I realized the real creative asset isn't the output.</p><p>It's the idea behind it.</p><p>Lately I've been using Wan 2.7 for these experiments:</p><p><a href="https://www.jxp.com/wan/wan-2-7">https://www.jxp.com/wan/wan-2-7</a></p><p>What I like most is the ability to quickly test visual concepts without opening complicated editing software. Wan 2.7 supports text-to-video, image-to-video, reference-based generation, and fast iteration, which makes experimentation much easier.</p><p>Some of my favorite scenes so far:</p><p>🌧 Rainy city streets</p><p>☕ Coffee shop interiors</p><p>🌙 Late-night urban environments</p><p>🎬 Cinematic character moments</p><p>I'm still learning every day.</p><p>But AI video generation has become less about technology and more about collecting visual ideas before they disappear.</p><p>And honestly, that's probably why I keep coming back to it.</p>
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<link>https://ameblo.jp/felice860/entry-12968065825.html</link>
<pubDate>Tue, 02 Jun 2026 10:53:52 +0900</pubDate>
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