Instructions to use GraydientPlatformAPI/cetus4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/cetus4b 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/cetus4b", 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 unet/diffusion_pytorch_model.bin from GraydientPlatformAPI/cetus4b: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/GraydientPlatformAPI/cetus4b/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://GraydientPlatformAPI/cetus4b/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/GraydientPlatformAPI/cetus4b/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- fdcbf5ddbc68c586ef87f0901770346b6b71fac65402591ca4ec8ef9e23ba17b
- Size of remote file:
- 3.44 GB
- SHA256:
- 66067b89c30328620b81df44b32ac5673b4dce6f52804bd50fbe29e8d7e1f57a
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