There are also many AI video generation tools, which fall into two categories: video generation and digital human generation. Video generation requires enormous computing power and takes much longer than text generation and image generation. Currently, the ones available to try include PIKA and Runway, which have the most users, but the Sora beta demo released by OpenAI on February 16 this year has completely overshadowed any previous AI video tool. Sora and other tools are on completely different levels. Sora’s currently demonstrated capabilities are head and shoulders above the rest; the effects are stunning, generation takes a long time, and the results are very realistic. It has already caused a huge impact across various industries, and many people are watching closely for its arrival.
This part can be learned here https://www.niuboyi.com/gid_8.html
[baike]The role of AI video generation tools[/baike] The role of video generation is not limited to film and entertainment; it can also have practical significance in many industries. After Sora’s beta content was announced, many OpenAI users began discussing how to use it. The moderator saw the thoughts of a psychiatric research expert, who hopes Sora can generate scenes familiar to patients in an attempt to evoke their correct memories and thereby guide them toward mental recovery. Some education experts also hope to obtain authorization from famous professors to generate lectures and teaching videos for students.
Sora effect demonstration
PIKA RUNWAY operation demonstration
Because the effects are too poor, we will not show too many.
[baike]Digital human applications[/baike] Digital human software has a relatively wide range of application scenarios, and there are many on Douyin. An inspirational voice paired with a cloned voice, carefully designed, can fool 90% of people so that they cannot tell whether it is real or fake.
[baike]Difficulty of video production operations[/baike]
The difficulty of video generation is very high. Some of the content we have learned about easily leads beginners to misconceptions. In our understanding, you hope the process of AI generating video is like ChatGPT: one sentence, one video. This is possible, but it can hardly become application-level content for you. Friends who have read the preceding text should know that robots are highly random. If you want to get content that meets expectations, you need to control the random content well.
For example
The prompt “A person crosses the Sahara Desert, the weather is hot, he wears a sun hat, and he looks like he is struggling” seems like a complete sentence, but it is full of huge variables. If you repeatedly generate with this sentence, the results you get will be infinitely different. Each time, the person may look different, the clothing may be different, the actions may be different, the expressions may be different, and the angles may be different. However, this is only the first step.
After you learn basic control, you need to create continuously, because a single clip contains too little content. You need subsequent clips. For example, the next shot is: you require this person, tired, to sit on the ground and rest. This again involves scene continuity; the time, space, and position have all changed. You also need to think about how to keep the character unchanged, how to add changes in expression, changes in weather, and so on.
When an ordinary person wants to create a film, it already involves crossing into another field. You need to understand how films are made, what elements composition includes, how movement works, and so on. Friends interested in this can learn in our Sora section https://www.niuboyi.com/forum-53-1.html |