Instructions to use PloOlb/PonyModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PloOlb/PonyModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PloOlb/PonyModel", 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:
- 154fdfbe5c4553796add6283d5b3ba4524f27a521543d8a616d218d7ed33eb46
- Size of remote file:
- 6.94 GB
- SHA256:
- cb61cbc8ae84581d9b27e13c5229afbe0d0315156637ef424346ab8cf585e157
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