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 text_encoder/pytorch_model.bin from Hemlok/ArcanaMix: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Hemlok/ArcanaMix/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Hemlok/ArcanaMix/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Hemlok/ArcanaMix/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 01765bf8bae2bef4a3e0f994a995fbab863f5f2df5ec5a45c88b6ff7251e7cc4
- Size of remote file:
- 492 MB
- SHA256:
- 0d1a6b974e26572a333f432a8dd7ba72787b919a5dfea860b5d0e943c9de03fa
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