Instructions to use ottopilot/YuuSakura with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ottopilot/YuuSakura 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/YuuSakura") prompt = "Raw photo, portrait, from front, YuuSaku, business suit, shot on Nikon D3300, 8k, uhd, highly detailed, masterpiece, Forbes Magazine, indoors, boardroom, windows, cityscape, Shinjuku, night, confident, powerful, seductive <lora:YuuSaku_v2:1> <lora:XenoDetailer_v2:0.1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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