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:
- d4b12b6d72a36d8c59176313461375108e601545b6d98446d6fa643d21741a4c
- Size of remote file:
- 4.32 MB
- SHA256:
- 89c2445bd0ffed65c979371f6be99c9d8b753b40378ef0059fbdf33bab0587ca
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