Instructions to use jaysharma2024/Patternnet_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jaysharma2024/Patternnet_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jaysharma2024/Patternnet_test", 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:
- 41aa73e3ec1d4251d084b0ee93183ea668ee1de1012f4340bf86ace2503ebf41
- Size of remote file:
- 1.46 GB
- SHA256:
- 4cac55ae5e5156279fa7d9a0616e51f77cef08aec56ca684b94aa0829e88086a
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