Instructions to use Hemlok/RainMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hemlok/RainMix 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/RainMix", 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:
- b127d4c79035a76e8cf39cc45a987a4c24debdf1afa79f689d200e0acf3c1c11
- Size of remote file:
- 492 MB
- SHA256:
- be7ab57246b204cf3a9075a30ca25c39fae3cc2f1f207ffcdaed5f095662f89b
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