Instructions to use Hemlok/RainierMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hemlok/RainierMix 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/RainierMix", 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:
- 3468f9d66b996a37db0e45e38cb9465d23d42eb48b8a96793fab431ecdd133eb
- Size of remote file:
- 4.34 MB
- SHA256:
- 3d6ebb03a83acd735054c5b2c0e941dfdf1c8d9c55ed8f93520b52b975603548
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