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:
- c4b80dad43bdacbb26665d881e517574c5dfac820b167b0895be1a8eff019679
- Size of remote file:
- 1.39 GB
- SHA256:
- d946f965edacac77e29589164733715164e17e35fae560c8146a8b635ec27d3e
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