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
bidirectional_checkpoint1/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a76028b6189d1ae226c6cb08debded5ef4b69221df10c1452e88673ab3c9fa1a
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size 11352649716
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