Instructions to use Miayan/project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Miayan/project with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Miayan/project", 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:
- a4827c7db1e2c3cb66e01435c04e24c733d66af9618b4fa836c3bd3b2383dcb0
- Size of remote file:
- 1.46 GB
- SHA256:
- df713ba3d9c2f089d95204b121e6232bdf6ef8b6d87ff1845b05048259e39264
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