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
- Draw Things
- DiffusionBee
- Xet hash:
- 2186cd252856297adcd9cedc7d5011291e3989b015a7ca0b521fbad870970976
- Size of remote file:
- 2.78 GB
- SHA256:
- b67dc594bc3a1d256c9e96b624296f04bb4ca890f8abb2a77d2419f904e43761
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