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:
- e1db4ce9e0e46f1975844c44796362734260c0a87a5a59d0ea1afb3f21062e8a
- Size of remote file:
- 3.46 GB
- SHA256:
- 696bf350ecbd4baae019da7525c60b3062552c154c7f00bc985adfffba2d2991
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