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:
- 136088760db7d93cfbdfeb7079e0e3ce213ab3475253dc723105c48db3b0fc59
- Size of remote file:
- 4.58 MB
- SHA256:
- 3b38eef556ccc207be816710d3cd934c1c4ec94fd97d5ce760801076553b8700
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