Many people, when using AI to generate videos for the first time, are accustomed to directly inputting a sentence and expecting the final product, often resulting in drifting images and empty content. Treating AI videos as "executors of expression" rather than "generators of creativity" will make the workflow much smoother. A reusable introductory process can be roughly divided into five steps.
Step 1: Write the script. First, determine what the video needs to explain clearly, and write down the beginning, main body, and ending in two to three hundred words. The more specific the script, the more reliable each subsequent shot will be.
Step 2: Disassemble the storyboard. Cut the script into several storyboards according to the screen, and write clearly in each storyboard: the main body of the screen, the scene environment, the camera movement (zoom in, sideways, surround), and the expected duration. Storyboard is the key to controlling the rhythm of the film.
Step 3: Generate the image. Wensheng videos are suitable for atmospheric shots; Image generated videos are more suitable for shots that require composition control - first using AI to create the first frame reference image, and then letting the video model "move" will significantly improve the consistency of the image. Suggested prompt words should be written in the order of "subject+action+lens+style+lighting".
Step 4: Dubbing and Sound Effects. Generate commentary using speech synthesis, accompanied by background music and ambient sounds. Pay attention to matching the speed of speech with the duration of storyboarding, and misplacement of sound and image is the most common reason for beginners to rework.
Step 5: Editing and proofreading. Splice the generated clips in storyboard order, complete subtitles, transitions, and color grading. Before publishing, it is necessary to check the text, face, and product identification in the screen frame by frame - AI generated content may still have illusions in details, and typos and abnormal details need to be manually reviewed to ensure safety.
The last two practical suggestions are: firstly, the consistency between characters and scenes remains a challenge for current tools, and continuous narrative should try to reuse the same set of reference images as much as possible; The second is to control the generated resolution and duration as needed to avoid unnecessary computational overhead. The iteration of tools is fast, but the workflow of 'think carefully before generating' will not become outdated.
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