Instructions to use ali-vilab/MS-Image2Video with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use ali-vilab/MS-Image2Video with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:ali-vilab/MS-Image2Video') tokenizer = open_clip.get_tokenizer('hf-hub:ali-vilab/MS-Image2Video') - Notebooks
- Google Colab
- Kaggle
A blogpost on how to use this model and discussion about results
#17
by pxovela - opened
If anyone wants to try it, this method worked for me on Runpod. The post contains a step-by-step guide that you can follow
https://followfoxai.substack.com/p/testing-the-brand-new-chinese-image
can this be run locally in nvidia rtx 3060 gpu talking about img to vid model low res
can this be run locally in nvidia rtx 3060 gpu talking about img to vid model low res
No, most likely not enough VRAM
For conda (win) guide?