Instructions to use GraydientPlatformAPI/richyrich with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/richyrich 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/richyrich", 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:
- 489171b364048a181831535579499aa7de24ee2a6db2a519e61d64f09771b932
- Size of remote file:
- 246 MB
- SHA256:
- 0ff06279b3c41f2850e205bea402de5d76e3457af2a9d9514cf77a991a4d8d2a
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