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:
- bb88b8d0da81e07fc9940c38cb6f0792e6e613190e4a59c9d19f33e79653fb60
- Size of remote file:
- 2.43 GB
- SHA256:
- 0cbc51a0d7f00e4d8b108bfda46a25df62b41623e084733173730774e7e15048
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