Instructions to use zai-org/SCAIL-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zai-org/SCAIL-2 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("zai-org/SCAIL-2", 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
Heads up: Link to project page (GitHub) at bottom of readme/mainpage is broken (404/typo) - top link icon works.
#3
by CCP6 - opened
Hi, I love your model so came to read the page and just wanted to mention that the link to your project page above Affiliation at the bottom has a typo and 404s.
Thanks for your work!!
Thanks! We've updated the link.
ZHANGYUXUAN-zR changed discussion status to closed