Tencent Releases HunyuanVideo-I2V: A Powerful Open-Source Image-to-Video Generation Model
Tencent just dropped HunyuanVideo-I2V, a cutting-edge open-source model for generating high-quality, realistic videos from a single image. This looks like a major leap forward in image-to-video (I2V) synthesis, and it’s already available on Hugging Face:
👉 Model Page: https://huggingface.co/tencent/HunyuanVideo-I2V
What’s the Big Deal?
HunyuanVideo-I2V claims to produce temporally consistent videos (no flickering!) while preserving object identity and scene details. The demo examples show everything from landscapes to animated characters coming to life with smooth motion. Key highlights:
- High fidelity: Outputs maintain sharpness and realism.
- Versatility: Works across diverse inputs (photos, illustrations, 3D renders).
- Open-source: Full model weights and code are available for tinkering!
Demo Video:
Don’t miss their Github showcase video – it’s wild to see static images transform into dynamic scenes.
Potential Use Cases
- Content creation: Animate storyboards or concept art in seconds.
- Game dev: Quickly prototype environments/characters.
- Education: Bring historical photos or diagrams to life.
The minimum GPU memory required is 79 GB for 360p.
Recommended: We recommend using a GPU with 80GB of memory for better generation quality.
UPDATED info:
The minimum GPU memory required is 60 GB for 720p.
| Model | Resolution | GPU Peak Memory |
|---|---|---|
| HunyuanVideo-I2V | 720p | 60GBModel Resolution GPU Peak MemoryHunyuanVideo-I2V 720p 60GB |
UPDATE2:
GGUF's already available, ComfyUI implementation ready:
https://huggingface.co/Kijai/HunyuanVideo_comfy/tree/main
https://huggingface.co/Kijai/HunyuanVideo_comfy/resolve/main/hunyuan_video_I2V-Q4_K_S.gguf