Instructions to use nesaorg/animatediff-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nesaorg/animatediff-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nesaorg/animatediff-base", 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:
- bfdcdbe1703eecb4943164ee7df32bbd57adfd2087fd79fccc708e596da44aea
- Size of remote file:
- 134 Bytes
- SHA256:
- 8a5a81c63660599f61eef71a4e9ba5862ece37519ecc2a8050e2f6d511bcfafa
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