Instructions to use tianweiy/CausVid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tianweiy/CausVid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tianweiy/CausVid", 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
Upload folder using huggingface_hub
Browse files
wan_causal_ode_checkpoint_model_003000/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:180c63534b37f13d70704348ae559f0a9374694eea3cae2ce3f36d8570d2728b
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size 5676282858
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