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
Download env/bin/tiny-agents from not-pegasus/IMAGE_MODAL: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/not-pegasus/IMAGE_MODAL/resolve/main/env/bin/tiny-agents
- Command line
-
hf download hf://not-pegasus/IMAGE_MODAL/env/bin/tiny-agents
-
curl -L -o tiny-agents https://huggingface.co/not-pegasus/IMAGE_MODAL/resolve/main/env/bin/tiny-agents
280 Bytes
| #!/home/jxngrx/Work/MINE_DEMO_PROECTS/Z-Image-Turbo/env/bin/python3 | |
| # -*- coding: utf-8 -*- | |
| import re | |
| import sys | |
| from huggingface_hub.inference._mcp.cli import app | |
| if __name__ == '__main__': | |
| sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) | |
| sys.exit(app()) | |