Instructions to use GraydientPlatformAPI/smoothmixpony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/smoothmixpony 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/smoothmixpony", 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:
- 8fcfaa4e3b5c4e3e880c7730d9478bb9ff10a869cda5c00b9470913a97c3ff50
- Size of remote file:
- 246 MB
- SHA256:
- 095c2433fa626d798086b4b7c4f6116fe3adec1aac45a3db62c865401a890b41
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.