Instructions to use alibaba-pai/EasyAnimateV4-XL-2-InP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alibaba-pai/EasyAnimateV4-XL-2-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/EasyAnimateV4-XL-2-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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_encoder/pytorch_model.bin from alibaba-pai/EasyAnimateV4-XL-2-InP: direct link, hf CLI and curl.
- Browser
- Download file 1.71 GB
-
https://huggingface.co/alibaba-pai/EasyAnimateV4-XL-2-InP/resolve/main/image_encoder/pytorch_model.bin
- Command line
-
hf download hf://alibaba-pai/EasyAnimateV4-XL-2-InP/image_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alibaba-pai/EasyAnimateV4-XL-2-InP/resolve/main/image_encoder/pytorch_model.bin
1.71 GB
- Xet hash:
- 1d292ee69fba9d1360d4927a13347f3c89ba7381dec861a283ba0c383142214c
- Size of remote file:
- 1.71 GB
- SHA256:
- c6032c2e0caae3dc2d4fba35535fa6307dbb49df59c7e182b1bc4b3329b81801
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