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:
- d400604313ef136e1ee67d7d13d7db0d6c1ed67889de13d9993a0cb30690b68f
- Size of remote file:
- 11.7 MB
- SHA256:
- 5c4b70d1a0416aa494a3d7759349f9637c36c4e26729c3190f5a16bfc497694b
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