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
#1
by crystantine - opened
Generated example for model crystantine/cybrpnkz.
Prompt: Professional realistic photography of Mazda 3 Hatchback parked on the side of the streets, futuristic architecture style of CYBRPNKZ
crystantine changed pull request status to merged