Instructions to use hundredwz/cetusMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hundredwz/cetusMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hundredwz/cetusMix", 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.bin from hundredwz/cetusMix: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/hundredwz/cetusMix/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://hundredwz/cetusMix/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/hundredwz/cetusMix/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- bc2cacb89f11c103742b8d645a77f212139aaa0600c1f6fa92cc9fd233336e4e
- Size of remote file:
- 335 MB
- SHA256:
- e22c18de81cf1bc8c1cdd90c86dd1e85a19e14668b5a22375a684319c080e19c
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