Instructions to use GraydientPlatformAPI/wainsfwpony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/wainsfwpony 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/wainsfwpony", 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:
- 6c4554cde99f41c7d03e12405c3c3f2e611a8dd2326e40750ae4dc0ed1e1a7b1
- Size of remote file:
- 5.14 GB
- SHA256:
- e2ca86b2999e6a960922f3ec6b25d67ced946b2e4aa3158cd718df01fca08fc0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.