Instructions to use GraydientPlatformAPI/fur-grape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/fur-grape 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/fur-grape", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 502b146465d033e546d570f5dce2b98a65705d7480b3b2011baebe4e208fd1c9
- Size of remote file:
- 1.72 GB
- SHA256:
- c465c2be17027df74915c65268bc194beb6746d33ee09a76a19b432db03346a7
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