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Cogvideox 2B LiFT

Developed by Fudan-FUXI
CogVideoX-2B-LiFT is a text-to-video generation model fine-tuned from CogVideoX-1.5 using reward-weighted learning methods
Downloads 21
Release Time : 12/9/2024

Model Overview

This model leverages human feedback to align text-to-video generation, capable of producing high-quality video content based on textual descriptions

Model Features

Human Feedback Alignment
Optimizes model output through human feedback using reward-weighted learning methods
High-Quality Video Generation
Generates coherent, high-quality video content based on text prompts
Multimodal Input Support
Supports multiple generation modes including text-to-video (t2v), image-to-video (i2v), and video-to-video (v2v)

Model Capabilities

Text-to-Video Generation
Image-to-Video Conversion
Video-to-Video Conversion
Dynamic Video Content Generation

Use Cases

Content Creation
Short Video Generation
Automatically generates short video content based on text descriptions
Produces 8fps, 49-frame video clips
Advertisement Production
Quickly generates product showcase videos
Education
Educational Video Generation
Automatically generates demonstration videos based on teaching content
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