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:
- 427e001fa71abdeaba28ae4a535b8e0f34a198a95f8b1fe65b06bd1d9fcc78ab
- Size of remote file:
- 1.46 GB
- SHA256:
- c4e73d59af8b344371ba2cdda1f2d1e2a36e182fde1bb8c3f07018c692713bf7
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