Instructions to use Hemlok/LizMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hemlok/LizMix 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/LizMix", 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
- Xet hash:
- 3354a0cb6f0c391a052bc23266b6e4c7149b23f59d57942f7916de7c2f98342a
- Size of remote file:
- 335 MB
- SHA256:
- f6e298fb112f7aaeaa5d100db991ddab5996aa0a2b678808e49a7ed1e4f8b206
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