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 typing import List, Optional | |
| __version__ = "25.1.1" | |
| def main(args: Optional[List[str]] = None) -> int: | |
| """This is an internal API only meant for use by pip's own console scripts. | |
| For additional details, see https://github.com/pypa/pip/issues/7498. | |
| """ | |
| from pip._internal.utils.entrypoints import _wrapper | |
| return _wrapper(args) | |