Instructions to use ApacheOne/EasyAnimateV4-int4-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ApacheOne/EasyAnimateV4-int4-int8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ApacheOne/EasyAnimateV4-int4-int8", 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
- Xet hash:
- 54995f1f5ea015110cde66bddeaa4f41b2bddce082be6d47632738cb61ceba21
- Size of remote file:
- 1.71 GB
- SHA256:
- c6032c2e0caae3dc2d4fba35535fa6307dbb49df59c7e182b1bc4b3329b81801
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