Instructions to use Hemlok/LonganMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hemlok/LonganMix 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/LonganMix", 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/LonganMix: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Hemlok/LonganMix/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Hemlok/LonganMix@refs/pr/2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Hemlok/LonganMix/resolve/refs%2Fpr%2F2/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 3bcf3a4e2e168a06f38bade9cec31a32e5348e217db1fec2671a32029e010d14
- Size of remote file:
- 335 MB
- SHA256:
- be6b74969b7c9eb8a560f0e77c7827c685d6866da7fb3c0177f2f55752f1d6c9
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