Instructions to use Arczisan/kasumi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Arczisan/kasumi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Arczisan/kasumi") prompt = "UNICODE\u0000\u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000d\u0000o\u0000a\u0000k\u0000a\u0000s\u0000u\u0000m\u0000i\u0000-\u0000n\u0000v\u0000w\u0000l\u0000s\u0000-\u0000v\u00001\u0000-\u00000\u00000\u00000\u00000\u00000\u00009\u0000:\u00001\u0000>\u0000 \u0000d\u0000o\u0000a\u0000k\u0000a\u0000s\u0000u\u0000m\u0000i\u0000,\u0000 \u0000p\u0000o\u0000n\u0000y\u0000t\u0000a\u0000i\u0000l\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000r\u0000i\u0000b\u0000b\u0000o\u0000n\u0000,\u0000 \u0000c\u0000h\u0000o\u0000k\u0000e\u0000r\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000d\u0000r\u0000e\u0000s\u0000s\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000s\u0000l\u0000e\u0000e\u0000v\u0000e\u0000s\u0000,\u0000 \u0000s\u0000a\u0000s\u0000h\u0000,\u0000 \u0000j\u0000a\u0000p\u0000a\u0000n\u0000e\u0000s\u0000e\u0000 \u0000c\u0000l\u0000o\u0000t\u0000h\u0000e\u0000s\u0000,\u0000 \u0000c\u0000l\u0000e\u0000a\u0000v\u0000a\u0000g\u0000e\u0000,\u0000 \u0000a\u0000r\u0000m\u0000 \u0000g\u0000u\u0000a\u0000r\u0000d\u0000s\u0000,\u0000 \u0000p\u0000e\u0000l\u0000v\u0000i\u0000c\u0000 \u0000c\u0000u\u0000r\u0000t\u0000a\u0000i\u0000n\u0000,\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000t\u0000h\u0000i\u0000g\u0000h\u0000h\u0000i\u0000g\u0000h\u0000s\u0000,\u0000 \u0000u\u0000p\u0000p\u0000e\u0000r\u0000 \u0000b\u0000o\u0000d\u0000y\u0000,\u0000 \u0000t\u0000h\u0000i\u0000g\u0000h\u0000s\u0000,\u0000 \u0000l\u0000a\u0000r\u0000g\u0000e\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000s\u0000k\u0000y\u0000,\u0000 \u0000m\u0000o\u0000u\u0000n\u0000t\u0000a\u0000i\u0000n\u0000s\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Kasumi - Dead or Alive

- Prompt
- UNICODEmasterpiece, best quality, <lora:doakasumi-nvwls-v1-000009:1> doakasumi, ponytail, hair ribbon, choker, blue dress, short sleeves, sash, japanese clothes, cleavage, arm guards, pelvic curtain, white thighhighs, upper body, thighs, large breasts, looking at viewer, smile, blue sky, mountains
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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