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:
- 564d755655dd9fc35e04f1a273d05122588267c3513efcb85ab491376be893df
- Size of remote file:
- 6.41 GB
- SHA256:
- 646a5bc826c7644d36210eb9df77a360dac207a8d4a7921f35a9c0c4807c6fc2
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