Instructions to use epfl-vita/svi-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use epfl-vita/svi-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("epfl-vita/svi-model", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Are you working in a 2.2 I2V version for this?
#7
by juang3d - opened
Pretty cool loras.
Are you working in a 2.2 I2V version for this?
It's a pity having to go back to 2.1 480p, quality is way worse than 2.2, and prompt adherence of 2.1 is way worse than 2.2 :)
Hi, thanks so much for your interest! We’re working on Wan‑2.2‑SVI (the first TODO in our GitHub repo) and will publish it soon.
Best,
SVI Team
Any update on this?
Any update on this?
YES!