Instructions to use jaysharma2024/Patternnet_test_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jaysharma2024/Patternnet_test_2 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_2", 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:
- 594217350d2839350e7cf6f613e3b27c4d7aa32912708e1e2ad563405447641e
- Size of remote file:
- 1.46 GB
- SHA256:
- 2b42c7cabd16a6cc93ee2b68f520e483ed461418b24e01c2536a24b571e245d4
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