Instructions to use GraydientPlatformAPI/vanillapony-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/vanillapony-xl 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/vanillapony-xl", torch_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:
- cacc4633dd729eb6418a7a289f181490a34d25e8ec8337664abd7a95de6e4ded
- Size of remote file:
- 1.39 GB
- SHA256:
- f62ce0dc2b136d041d8a0bc53d23e488199f91f417daf0fc7d6a1bb713cc3675
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.