Instructions to use GraydientPlatformAPI/grapefruit-classic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/grapefruit-classic 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/grapefruit-classic", 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:
- 1808da9b2cb0eb33755b74fc706013d905a0bd2338261745a588c3879e844975
- Size of remote file:
- 335 MB
- SHA256:
- e845671ebc2623d9bc351e16dcdb1ffaf0dcb03f9adc1a4e8382bad14ab5e12d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.