1.In-Context Generation: Upload reference images to guide the AI in creating consistent characters and environments.
2.Visual Prompt Understanding: Advanced MLLM architecture that interprets complex visual cues for nuanced video output.
3.In-Context Editing: Intelligently replace or modify specific segments of a video based on image prompts.
4.Free-form Video Editing: Modify video content directly using natural language or visual instructions for total creative control.
1.Character Consistency: Creating episodic content where characters look identical across different scenes.
2.Dynamic Object Replacement: Swapping or adding objects in existing footage using a simple reference photo.
3.AI Cinematography: Generating high-quality trailers and cutscenes for game developers and filmmakers.
4.Visual Prompting: Turning conceptual sketches or mood boards into fully realized video sequences.

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