Instructions to use GraydientPlatformAPI/grapefruit-classic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/grapefruit-classic 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/grapefruit-classic", 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
Download vae/diffusion_pytorch_model.safetensors from GraydientPlatformAPI/grapefruit-classic: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/GraydientPlatformAPI/grapefruit-classic/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/grapefruit-classic/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/grapefruit-classic/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- 1808da9b2cb0eb33755b74fc706013d905a0bd2338261745a588c3879e844975
- Size of remote file:
- 335 MB
- SHA256:
- e845671ebc2623d9bc351e16dcdb1ffaf0dcb03f9adc1a4e8382bad14ab5e12d
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