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:
- 40ff1d0817588702e6b2c2b9589e2b0fe46a99a59a330b2a72c0292f04b0e98f
- Size of remote file:
- 1.52 GB
- SHA256:
- 4412bf1d85e21eaac612aa9319b33f35b7e83d7858cca597bb6e645fa7bc7207
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