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:
- 3de1f3c54bf6853139c7f26e7ae029d1fac1befc537a6b33ea56f90def6b860a
- Size of remote file:
- 5.57 GB
- SHA256:
- 2a497b9701f1b8be2fbef6d23bf095bee27a697f8b68220d15c199c321f35444
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