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
- Draw Things
- DiffusionBee

- Xet hash:
- 08e2f4f56e2521b7de3bbe4fdca84f0ba2a77489056ea354b83543689d8ce1a6
- Size of remote file:
- 5.05 MB
- SHA256:
- dab2d5e67d539f864852254ae2b743c191915392f7976248af098fc78fac3e19
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