Instructions to use levihsu/OOTDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use levihsu/OOTDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("levihsu/OOTDiffusion", 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
Download checkpoints/32 from levihsu/OOTDiffusion: direct link, hf CLI and curl.
- Browser
- Download file 3 Bytes
-
https://huggingface.co/levihsu/OOTDiffusion/resolve/refs%2Fpr%2F17/checkpoints/32
- Command line
-
hf download hf://levihsu/OOTDiffusion@refs/pr/17/checkpoints/32
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curl -L -o 32 https://huggingface.co/levihsu/OOTDiffusion/resolve/refs%2Fpr%2F17/checkpoints/32
3 Bytes
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