Tencent-Hunyuan/HunyuanVideo-I2V
HunyuanVideo-I2V: A Customizable Image-to-Video Model based on HunyuanVideo
This project helps content creators, marketers, or anyone needing dynamic visuals to transform a static image into a moving video. You provide an initial image, and the system generates a short video animation that retains the visual style and content of that image. It's ideal for visual artists and designers looking to add motion to their still artwork, or marketers creating engaging social media content.
1,799 stars. No commits in the last 6 months.
Use this if you need to quickly bring an image to life with video animation while maintaining visual consistency with the original picture.
Not ideal if you need to generate entirely new video content from scratch or require precise control over complex narratives and object interactions within the video.
Stars
1,799
Forks
189
Language
Python
License
—
Category
Last pushed
May 20, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/Tencent-Hunyuan/HunyuanVideo-I2V"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
hao-ai-lab/FastVideo
A unified inference and post-training framework for accelerated video generation.
ModelTC/LightX2V
Light Image Video Generation Inference Framework
thu-ml/TurboDiffusion
TurboDiffusion: 100–200× Acceleration for Video Diffusion Models
PKU-YuanGroup/Helios
Helios: Real Real-Time Long Video Generation Model
PKU-YuanGroup/MagicTime
[TPAMI 2025🔥] MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators