Instructions to use LuckyLiGY/MagicTryOn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LuckyLiGY/MagicTryOn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LuckyLiGY/MagicTryOn", 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:
- 41e6a54da343960e458719add3e98d92c150e3374f62832abb90be51ab864bff
- Size of remote file:
- 56 Bytes
- SHA256:
- 5ed7a983ff7c45bf18631b2c4becfd62eccd47ff595f796e7f44ba2d266b83bb
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