Instructions to use crystantine/cybrpnkz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use crystantine/cybrpnkz 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("crystantine/cybrpnkz") prompt = "A person in a bustling cafe, architecture style of CYBRPNKZ" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#2
by crystantine - opened
Generated example for model crystantine/cybrpnkz.
Prompt: Professional realistic photography, viewing half-body of a Korean woman staring into the camera. She has messy bun hair, her face is smiling with bold pretty makeups, standing in front of massive huge landmark, futuristic architecture style of CYBRPNKZ.
crystantine changed pull request status to merged