Engineering Application Specification for Text Prompts
MultiTalk's text prompting system utilizes a unique Scene Description Language (SDL) designed to contain three layers:
- base layer: Define role relationships (e.g., "doctor talking to patient")
- scene layer:: Describe the details of the setting (e.g., "in a hospital corridor with nurses walking in the background")
- behavioral level: Assign specific actions (e.g., "doctor points to x-ray, patient nods")
Best practices show:
- Combined cues are 47% more effective than single commands (e.g., "coffee shop + two people arguing + occasional checking of cell phone")
- Adding emotion labels increases the naturalness of the action by 351 TP3T (e.g., "[angry] Why are you late? [Smile] Because of the traffic jam.")
- Avoid long sentences with more than 20 tokens; a semicolon-separated multi-phrase structure is more effective
Typical examples:
"Conference room; three people taking turns speaking; CEO standing pointing to chart; CTO operating laptop; city night view in background"
This answer comes from the articleMultiTalk: an audio-driven tool for generating videos of multiplayer conversationsThe
