Instructions to use Shero448/ritsuka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/ritsuka with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/prefect-pony-xl-v1-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/ritsuka") prompt = "(looking at viewer, smile, closed mouth, blush), <lora:RitsukaTakesakaNSLT:1> ritsukatakesaka, long hair, drill hair, white hair, purple eyes, large breasts, RitsukaSuit, black jacket, cleavage, white shirt, black skirt, pendant, necklace, glasses, 16k, masterpiece, absurdes, highly detailed, highres, high quality, best quality, score_9, score_8_up, score_7_up, score_6_up, shiny, shiny skin, shiny hair, looking at viewer, portrait, upper body, close-up," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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