Instructions to use amonig/new_ed_0754804655 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amonig/new_ed_0754804655 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("amonig/new_ed_0754804655", 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
Download src/pyarmor_runtime_000000/__init__.py from amonig/new_ed_0754804655: direct link, hf CLI and curl.
- Browser
- Download file 102 Bytes
-
https://huggingface.co/amonig/new_ed_0754804655/resolve/main/src/pyarmor_runtime_000000/__init__.py
- Command line
-
hf download hf://amonig/new_ed_0754804655/src/pyarmor_runtime_000000/__init__.py
-
curl -L -o __init__.py https://huggingface.co/amonig/new_ed_0754804655/resolve/main/src/pyarmor_runtime_000000/__init__.py
102 Bytes
| # Pyarmor 8.5.11 (trial), 000000, 2024-09-20T02:46:04.867065 | |
| from .pyarmor_runtime import __pyarmor__ | |