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
Iterations/steps/strength?
#6
by Softology - opened
Another setting that may help. Can we set iterations for the video creation? Or is there a "strength" parameter to set like in other Text-to-Image systems that controls how closely the result matches the source image?
Thank you for your interest in our I2VGen-XL. This model version is the first iteration and we do not provide some user-selectable parameters. We appreciate your suggestion, and we will consider incorporating these parameters in the next model update.