Instructions to use Arczisan/offshoulder-kimono with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Arczisan/offshoulder-kimono 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/offshoulder-kimono") prompt = "UNICODE\u0000\u0000k\u0000i\u0000m\u0000o\u0000n\u0000o\u0000,\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000b\u0000e\u0000h\u0000i\u0000n\u0000d\u0000,\u0000 \u0000o\u0000f\u0000f\u0000 \u0000s\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000,\u0000 \u0000s\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000 \u0000b\u0000l\u0000a\u0000d\u0000e\u0000s\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000O\u0000f\u0000f\u0000S\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000K\u0000i\u0000m\u0000o\u0000n\u0000o\u0000:\u00001\u0000>\u0000,\u0000 \u0000o\u0000u\u0000t\u0000d\u0000o\u0000o\u0000r\u0000s\u0000,\u0000 \u0000n\u0000i\u0000g\u0000h\u0000t\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000I\u0000n\u0000c\u0000r\u0000s\u0000R\u0000s\u0000l\u0000n\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000o\u0000v\u0000e\u0000r\u0000 \u0000o\u0000n\u0000e\u0000 \u0000e\u0000y\u0000e\u0000,\u0000 \u0000R\u0000s\u0000l\u0000n\u0000D\u0000e\u0000f\u0000,\u0000 \u0000c\u0000r\u0000o\u0000w\u0000n\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000C\u0000h\u0000a\u0000r\u0000_\u0000M\u0000a\u0000r\u0000i\u0000o\u0000S\u0000e\u0000r\u0000i\u0000e\u0000s\u0000_\u0000R\u0000o\u0000s\u0000a\u0000l\u0000i\u0000n\u0000a\u0000:\u00000\u0000.\u00009\u0000>\u0000,\u0000 \u0000s\u0000e\u0000d\u0000u\u0000c\u0000t\u0000i\u0000v\u0000e\u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000 \u0000b\u0000r\u0000a\u0000i\u0000d\u0000,\u0000 \u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Off Shoulder Kimono

- Prompt
- UNICODEkimono, from behind, off shoulder, shoulder blades, <lora:OffShoulderKimono:1>, outdoors, night, looking at viewer, IncrsRsln, hair over one eye, RslnDef, crown, <lora:Char_MarioSeries_Rosalina:0.9>, seductive smile, braid,
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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