"Want to use AI to make videos? Don't rush to get started yet. There are many AI tools on the Internet, such as clipping, Runway, and Pika Labs. They each have their own characteristics and suit different needs. Clipping is suitable for novices, simple to operate and has many built-in templates. Runway is powerful and can perform style migration and picture restoration. Pika Labs is creative and can generate anime style videos. Before choosing a tool, think clearly about the purpose of making the video. Is it to bring goods, be funny or share knowledge? Different goals, different tools are chosen. Carrying videos requires clear product display, and tools such as cutting and screening are sufficient. Funny videos may require exaggerated expressions and actions. Try Runway's dynamic generation feature. Knowledge sharing videos require stable pictures and clear text, which may not be suitable for Pika Labs. Only by choosing the right tool can you get twice the result with half the effort.
Before making a video, make a list. What is the content? How to shoot the picture? What is the background music to choose? How to deal with sounds? These questions must be thought about in advance. Content is the soul of video. For example, if you want to make a food video, is it a cooking tutorial or a restaurant review? The picture is the skeleton of the video. Do you use your mobile phone to take pictures or use a camera? How to use the light? Background music is the blood of the video. Choose light or soothing? Sound is the skin of video. The human voice should be clear and there should be no noise. After thinking about all this, start making videos.
AI tools are not everything. It can help you generate pictures, but you still have to write the content yourself. For example, if you want to make a travel video, AI can generate scenery pictures, but you have to write your own introduction to attractions and travel experiences. Images generated by AI sometimes have problems. For example, characters have strange expressions and objects are out of proportion. At this time, you have to adjust manually. The sounds generated by AI can also go wrong. For example, the tone is wrong and the speed is too fast. These all require post-processing. Therefore, using AI to make videos cannot rely entirely on it. We still need to do more and make more adjustments.
Making videos takes time. Don't think about it overnight. Spend time learning tools first. For example, clipping and screening, its text-to-speech function is very practical. Enter text to generate dubbing. You can also adjust your speed and tone. Spend time learning to edit. How to make the picture smooth and how to transition naturally. Spend time learning the soundtrack. How to match music and pictures. Take the time to learn to color colors. How to make the picture look more comfortable. These all take time to practice. If you do more, you will naturally become proficient.
Many people now use AI to make videos. For example, on Douyin, some accounts use AI to generate anime characters and tell historical stories. The effect is good and there are many fans. But some people use AI to make videos, but the effect is not good. For example, the picture is blurred and the sound is unclear. What is the reason? First, I didn't choose the right tool, and second, I didn't spend time learning. Therefore, to use AI to make videos, you need to choose the right tool and spend time learning. Only in this way can we make good videos.
After the video is ready, it must be released. Before publishing, think about the publishing platform. Douyin is suitable for short, plain and fast videos, and Station B is suitable for longer knowledge sharing videos. When publishing, write a good title. The title should be attractive, but not exaggerated. With a good cover. The cover should be clear and summarize the video content. After publication, more interaction. Respond to comments and thank you and like them. This can increase fan stickiness. After release, look at the data. Which video is popular and why it is popular. Which video is not watched and why is it not watched? Analyze data and improve video.
Using AI to make videos is a trend. But not all videos are suitable for AI. For example, AI cannot help videos that require real-life appearances. Therefore, using AI to make videos must be combined with actual conditions. Use AI where you can help, and you still have to manually do where you can't help. Only in this way can you make good videos. "
