Instructions to use GraydientPlatformAPI/oso-ponyreal8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/oso-ponyreal8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/oso-ponyreal8", 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:
- 0e81469efd369bf98e6a2b58c4180275fc0eb8eea8c8b9b8880b68f6db94eb7e
- Size of remote file:
- 1.39 GB
- SHA256:
- 867f58091c06d8fb2ca904529df88a6b06e06ea2991c31ad2d501ceb980a9c82
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