Instructions to use TheAwakenOne/rockbrow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheAwakenOne/rockbrow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TheAwakenOne/rockbrow") prompt = "PeopleBrow man with intense gaze, close-up portrait" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#5
by TheAwakenOne - opened
Generated example for model TheAwakenOne/rockbrow.
Prompt: PeopleBrow a luchado in the wrestling ring, one eyebrow raised suspiciously, in the ring gazing at the crowed
TheAwakenOne changed pull request status to merged