Instructions to use wangbei1/wan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangbei1/wan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wangbei1/wan", 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 flow_white_12.tar.gz with huggingface_hub
Browse files- flow_white_12.tar.gz +3 -0
flow_white_12.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:7391e67be1e4d3e2137a588d4723cd581579d0e1520db186cb968807b19ee5a8
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size 2746408231
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