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 division, print_function, unicode_literals | |
| import argparse | |
| from . import fetch | |
| p = argparse.ArgumentParser() | |
| p.add_argument('git_repo', nargs='?', default='.', | |
| help="if it's bare you need to provide a checkout_dir") | |
| p.add_argument('checkout_dir', nargs='?') | |
| p.add_argument('-v', '--verbose', action='count', default=0) | |
| args = p.parse_args() | |
| fetch(args.git_repo, args.checkout_dir, args.verbose) | |