Instructions to use Montey/python-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Montey/python-edge with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Montey/python-edge", 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
File size: 129 Bytes
7080642 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8c8d58c214ba22a6aeacea98cef1a4b88fb88c8d0ed113f39b6a60b0165b3bdb
size 3952
|