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 text_encoder/pytorch_model.bin from GraydientPlatformAPI/cetus4b: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/GraydientPlatformAPI/cetus4b/resolve/e8fc0b4ab4a3e36f5ac623b150c5d24fbf3cc2ef/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://GraydientPlatformAPI/cetus4b@e8fc0b4ab4a3e36f5ac623b150c5d24fbf3cc2ef/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GraydientPlatformAPI/cetus4b/resolve/e8fc0b4ab4a3e36f5ac623b150c5d24fbf3cc2ef/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- a3df321848c15549bb6247aa553788581a5d236cc310fe784b6662d502bb5caf
- Size of remote file:
- 492 MB
- SHA256:
- 2ff733794560373deeb7441a9d4d94ec60eaf960ee11c7c01eedfe1ddb30ad0c
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