Video generation challenges
AI video tools such as Sora require more complex cue words to describe dynamic elements such as scene transitions and dribbling.
Application Solutions
- Keyframe image conversion: Upload keyframes from a split-screen script to generate a timestamped JSON cue word sequence
- Dynamic parameter labeling: Add video-specific parameters such as "camera movement" and "transition effects" in JSON.
- batch mode: Upcoming feature supports continuous generation of multiple screens (currently, results can be manually concatenated in a single generation)
Example of operation
Create a video of the forest scene: 1. Upload three keyframes for morning mist/noon/dusk 2. Generate a JSON sequence with timestamps 3. Add the "Lens Pan" parameter 4. Import into Sora to generate dynamic video
Professional advice
1. for complex scenes it is recommended to use the creator program (1000 generation credits) 2. combined with ChatGPT to write the split script first 3. test the rendering effect of different combinations of parameters
This answer comes from the articlePrompthance: JSON Generation Tool for Converting Images or Text into AI Prompt WordsThe
May not be reproduced without permission:AI productivity tools " How to apply Prompthance to optimize AI generation effects in video creation?
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