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
| # This file is dual licensed under the terms of the Apache License, Version | |
| # 2.0, and the BSD License. See the LICENSE file in the root of this repository | |
| # for complete details. | |
| __title__ = "packaging" | |
| __summary__ = "Core utilities for Python packages" | |
| __uri__ = "https://github.com/pypa/packaging" | |
| __version__ = "25.0" | |
| __author__ = "Donald Stufft and individual contributors" | |
| __email__ = "donald@stufft.io" | |
| __license__ = "BSD-2-Clause or Apache-2.0" | |
| __copyright__ = f"2014 {__author__}" | |