Instructions to use GraydientPlatformAPI/babes-kissable32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/babes-kissable32 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/babes-kissable32", 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:
- d978c1cbfa41314f59b2ada7877dc080b6c68dd9501f4cb4c64ac4351beb6fd7
- Size of remote file:
- 246 MB
- SHA256:
- 577d0479cd38924e8ffd83e58884e900f3f0a85d49d172d33db16ac822002fb5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.