Instructions to use KamCastle/epicPhotoRealY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/epicPhotoRealY with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KamCastle/epicPhotoRealY", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 137f7bb30ab62c39b60077f1fdaa932d6c162e8195cd528f9de7cf3c9c44b6c3
- Size of remote file:
- 335 MB
- SHA256:
- b5f1192643534996fd5d239ba8cc4ca43af4c4567cc74808c9acc384f408188a
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