Instructions to use ottopilot/PinoAgbayani with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ottopilot/PinoAgbayani with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/v1-5-pruned-v6", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ottopilot/PinoAgbayani") prompt = "RAW photo, male focus, candid, medium shot, low angle, Pno, as Alexander Hamilton, Hamilton An American Musical, indoors, on stage, theatre <lora:XenoDetailer_v2:0.6> <lora:Pno_v1-gf:0.9>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K