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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ed327357e6c4ee97fa454ec65b3394701482d289551dee3997b926a64494184b
- Size of remote file:
- 246 MB
- SHA256:
- 416514de5afedf7c281dd5ae07dbc91570b7f553d7d24b6088ec80a467845938
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