Instructions to use hlwang06/LeviTor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hlwang06/LeviTor with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hlwang06/LeviTor", 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
- Xet hash:
- 282f247ce2e7f6a8eaed3088d7e309ea63e2ca3e304dc658a906b77b48694814
- Size of remote file:
- 2.73 GB
- SHA256:
- 9f828efcf084ea1bc726b4afe2b5b23e4fc569da1441832ab3e8efdafbb189d9
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