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:
- 714e315e4883e5606153e811bc6313926108debb4e0bc65685497bec6393040b
- Size of remote file:
- 830 MB
- SHA256:
- 040b2e3dddac9efd68e125b02056a5cd4f8df7259e7167f14e57db8b68e26fb8
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