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:
- a4d64d106bb7f961bdb0d19d5679b4ab86469eaee32506c484d36613c9e3696d
- Size of remote file:
- 2.13 GB
- SHA256:
- 3f2e00aaa09ca194b998a479f98fbf66a08f6d861af7f02ac65d126462e51224
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