Instructions to use Wan-AI/Wan2.2-I2V-A14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use Wan-AI/Wan2.2-I2V-A14B with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Inference
- Notebooks
- Google Colab
- Kaggle
Infill with I2V-A14B?
The I2V section of the paper (5.1.1) mentions "we incorporate multiple tasks, i.e., image-to-video generation, video continuation, first-last frame transformation, and random frame interpolation". Does frame interpolation work with the I2V-A14B model?
Comfy does I2V (start frame only) and start-to-end interpolation natively, but I've never been able to get random frame interpolation to work, eg. providing a full video and masking just a range of frames. Is there any working code or Comfy workflow that does this?
I know that the Wan2.2-VACE-Fun-A14B can do this natively. But that model is based on the T2V model, not the I2V model, so you can't use a LoRA trained for the I2V with it for editing. Being able to use the same model for frame replacement and joining clips would be really useful.