Instructions to use alibaba-pai/EasyAnimateV5.1-12b-zh-InP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alibaba-pai/EasyAnimateV5.1-12b-zh-InP with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alibaba-pai/EasyAnimateV5.1-12b-zh-InP", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Add diffusers library name and pipeline tag
#2
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team.
I've updated the model card to improve discoverability and integration:
- Added
library_name: diffusersto enable the "Use in Diffusers" button, as this repository contains the necessary configuration files for the library. - Added
pipeline_tag: image-to-videoto ensure the model is correctly categorized on the Hub. - Included a link to the research paper EasyAnimate: High-Performance Video Generation Framework with Hybrid Windows Attention and Reward Backpropagation.
These changes help users find and utilize your model more effectively.