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:
- 74b14455261734ef7d5f7c1961410f657b59e719e5a27e9d09f27f1412199f58
- Size of remote file:
- 219 MB
- SHA256:
- 1bd8a45dd815e72cdf75dd5df10a651c892b09f80a292edaafd4d192be419be3
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