Instructions to use GraydientPlatformAPI/yogiri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/yogiri 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/yogiri", 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:
- e591e4fcc5d1816f1bb3e873eaad723a721fb1c456ec944359cc3e96ea10bea4
- Size of remote file:
- 246 MB
- SHA256:
- c4d0f5585463d465df4a3b86cf8575cb523ba31bd47f3f659fba387b52acbe61
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