Instructions to use Hemlok/VaLMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hemlok/VaLMix 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/VaLMix", 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:
- 7bc79401f3046a99ee39c3fd992bf1c8344fa929ca5e930e5969108d12553642
- Size of remote file:
- 3.44 GB
- SHA256:
- ab41ae277ad0a8aba9d53720b5e6cbbf69278e450e853c29a566b635440d38d1
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