Text-to-Video
Generate videos from images and text prompts
Download YouTube videos or audio
Stream audio/video in realtime with webrtc
Generate a video from a text prompt
Generates a sound effect that matches video shot
Generate videos from text or images
Find frames in videos matching text queries
Generate videos from text or images
Dub videos into different languages
Apply the motion of a video on a portrait
HQ human motion video gen with pose-guided control
Generate a visual waveform video from audio
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.