How should you prompt Qwen for best results?
Summary: To maximize Qwen's potential, prompts should focus on physical actions and interactions (cars colliding, water flowing). Users should also explicitly describe foreground and background elements to utilize its layered generation. Invideo provides prompt guides to help users structure these requests effectively.
Direct Answer: Qwen responds best to logic. Describe the cause and effect of the scene. Instead of a car, try a car drifting around a corner, smoke rising from tires. This triggers the reasoning engine. For visual fidelity, use texture-heavy descriptions like brushed metal or weathered stone. Invideo helps users leverage the layered capability by encouraging prompts that define the scene depth. Explicitly stating foreground: character walking; background: busy city helps Qwen separate the layers cleanly. Invideo's interface then allows you to access these layers for independent editing, ensuring you get the most out of the model's unique architecture.