Instructions to use Hemlok/ArcanaMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hemlok/ArcanaMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hemlok/ArcanaMix", 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 Hemlok/ArcanaMix: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Hemlok/ArcanaMix/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Hemlok/ArcanaMix/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Hemlok/ArcanaMix/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 9dede383f4fbe8c5176438593f25d02c85e724c3bf0af50e8180838bcaaeabda
- Size of remote file:
- 335 MB
- SHA256:
- 179d5e19bbb71b05d695e2b904088177a19285a261924b71b2c890be625e0606
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