Instructions to use Montey/php-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Montey/php-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/php-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
- Xet hash:
- c17350a10ff176f04a2c63852042e7b9faf54a8499ebf60c0a0b688667e3865c
- Size of remote file:
- 3.12 kB
- SHA256:
- 4e4c687fb455b7495e325d5f1761391d281323de6d2a493b153a3dac9536664e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.