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Hunyuanvideo I2V

Developed by tencent
Hunyuan Video-I2V is a novel image-to-video generation framework, extended from Tencent's Hunyuan Video model, supporting high-quality video generation from static images.
Downloads 3,272
Release Time : 3/5/2025

Model Overview

Hunyuan Video-I2V is an image-to-video generation framework based on the Hunyuan Video model. It integrates reference image information into the video generation process via token replacement technology and leverages multimodal large language models to enhance the understanding of input image semantic content.

Model Features

Image Semantic Understanding
Uses pre-trained multimodal large language models as text encoders to enhance the understanding of input image semantic content.
Cross-Modal Attention
Supports full cross-modal attention computation by concatenating image tokens with video latent tokens.
High-Resolution Generation
Supports video generation at up to 720P resolution and a maximum of 129 frames (5 seconds).
LoRA Effects Support
Provides LoRA effects training code for creating more interesting video effects.

Model Capabilities

Static image-to-video conversion
High-resolution video generation
Multimodal content understanding
Custom video effects

Use Cases

Content Creation
Short Video Generation
Generate short video content from a single image.
Produces a 5-second 720P resolution video.
Effects Production
LoRA Effects Video
Customize video effects through LoRA training.
Achieves specific style or effect transformations.
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