Instructions to use Hemlok/REV-Mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hemlok/REV-Mix 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/REV-Mix", 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:
- c17574f04092407e9f8d012b1054aba9ab4e99698f0b6366f9e88f7f6ec75f60
- Size of remote file:
- 4.67 MB
- SHA256:
- 6eea2eeacd1a0582ba31e3700e930ce2b0be9453a57702e809daa6a0e7c43541
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