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:
- dba261602fb4ffb5f68c6410a7152b82f19f5129a7904ccb5bf51a9245fe1422
- Size of remote file:
- 167 MB
- SHA256:
- 180d20a23805d84438d4af2a4c67b118d790cd991f2315f2e5c0c22f150757ba
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