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- mixkit_ode_lmdb/data.mdb +3 -0
- mixkit_ode_lmdb/lock.mdb +0 -0
mixkit_ode_lmdb/data.mdb
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version https://git-lfs.github.com/spec/v1
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oid sha256:afe4636760a97fe439d847939e594049fb2e13ae69adc8fa32b6ee2ecd657dd3
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size 25788350464
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mixkit_ode_lmdb/lock.mdb
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Binary file (8.19 kB). View file
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