Text-to-Video
Generate 3D motion from text prompts
Robotics Language-Gesture Video Generation
Create an animated audio visualizer video from audio and image
Generate lifelike video animations from images and audio
Create a music visual from an audio
Fast Text 2 Video Generator
Generate music videos from text descriptions
Dense Grounded Understanding of Images and Videos
Generate sound effects for silent videos
Generates a sound effect that matches video shot
HQ human motion video gen with pose-guided control
CogVideoX-5B is an advanced text-to-video generation model designed to create detailed and realistic videos from text descriptions or images. It is part of the CogVideo family of models, optimized for high-quality video synthesis with enhanced control over video content, style, and duration. CogVideoX-5B is particularly noted for its ability to generate long-form videos with improved coherence and consistency.
• Text-to-Video Generation: Convert text prompts into detailed videos with high resolution and fidelity.
• Image-to-Video Generation: Transform images into videos by extending or animating the scene.
• Customizable Parameters: Control video length, frame rate, resolution, and style to match specific requirements.
• Speed Control: Adjust the playback speed of generated videos for dynamic effects.
• Integration with CogTools: Compatible with other tools in the Cog family for end-to-end media creation workflows.
• 5 Billion Parameter Model: A robust architecture trained on diverse datasets for high-quality video synthesis.
cogvideo library to import and initialize the CogVideoX-5B model.What is the maximum video duration I can generate with CogVideoX-5B?
CogVideoX-5B supports video generation up to 300 seconds (5 minutes), making it ideal for long-form content creation.
Can I use CogVideoX-5B for commercial projects?
Yes, CogVideoX-5B is designed for both personal and commercial use, but ensure compliance with licensing terms and data usage policies.
How do I install CogVideoX-5B?
Installation instructions are available on the official Cog repository. Ensure you have the required dependencies installed before running the model.