Instructions to use not-pegasus/IMAGE_MODAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use not-pegasus/IMAGE_MODAL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("not-pegasus/IMAGE_MODAL", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
| from __future__ import annotations | |
| from typing import Any | |
| class Timeout(TimeoutError): # noqa: N818 | |
| """Raised when the lock could not be acquired in *timeout* seconds.""" | |
| def __init__(self, lock_file: str) -> None: | |
| super().__init__() | |
| self._lock_file = lock_file | |
| def __reduce__(self) -> str | tuple[Any, ...]: | |
| return self.__class__, (self._lock_file,) # Properly pickle the exception | |
| def __str__(self) -> str: | |
| return f"The file lock '{self._lock_file}' could not be acquired." | |
| def __repr__(self) -> str: | |
| return f"{self.__class__.__name__}({self.lock_file!r})" | |
| def lock_file(self) -> str: | |
| """:return: The path of the file lock.""" | |
| return self._lock_file | |
| __all__ = [ | |
| "Timeout", | |
| ] | |