Instructions to use AbhaySatpute/Kotono with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AbhaySatpute/Kotono with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AbhaySatpute/Kotono") prompt = "UNICODE\u0000\u0000A\u0000 \u0000p\u0000r\u0000o\u0000f\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000h\u0000i\u0000g\u0000h\u0000-\u0000r\u0000e\u0000s\u0000o\u0000l\u0000u\u0000t\u0000i\u0000o\u0000n\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000 \u0000o\u0000f\u0000 \u0000K\u0000o\u0000t\u0000o\u0000n\u0000o\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000g\u0000r\u0000e\u0000e\u0000n\u0000 \u0000c\u0000a\u0000b\u0000l\u0000e\u0000k\u0000n\u0000i\u0000t\u0000 \u0000s\u0000w\u0000e\u0000a\u0000t\u0000e\u0000r\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000c\u0000a\u0000f\u0000e\u0000,\u0000 \u0000h\u0000o\u0000l\u0000d\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000l\u0000a\u0000t\u0000t\u0000e\u0000,\u0000 \u0000b\u0000r\u0000u\u0000n\u0000e\u0000t\u0000t\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000 \u0000s\u0000k\u0000i\u0000n\u0000,\u0000 \u0000b\u0000o\u0000k\u0000e\u0000h\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000 \u0000S\u0000F\u0000W\u0000,\u0000 \u0000s\u0000m\u0000i\u0000l\u0000i\u0000n\u0000g\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000K\u0000o\u0000t\u0000o\u0000n\u0000o\u0000_\u0000o\u0000f\u0000_\u0000B\u0000i\u0000k\u0000i\u0000n\u0000i\u0000s\u0000T\u0000o\u0000k\u0000y\u0000o\u0000:\u00001\u0000>\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Kotono

- Prompt
- UNICODEA professional high-resolution photograph of Kotono wearing a dark green cableknit sweater in a cafe, holding a latte, brunette hair, detailed skin, bokeh, female focus, SFW, smiling <lora:Kotono_of_BikinisTokyo:1>

- Prompt
- UNICODEA professional high-resolution upper body photograph of Kotono wearing a dark tshirt, detailed skin, female focus, SFW, smiling <lora:Kotono_of_BikinisTokyo:1>

- Prompt
- UNICODEA professional high-resolution photograph of Kotono working alone behind the counter in a shop selling lingerie and bikinis, she is wearing a tshirt and apron, detailed skin, female focus, SFW, smiling <lora:Kotono_of_BikinisTokyo:1>

- Prompt
- UNICODEA professional high-resolution photograph of Kotono wearing a dark green cableknit sweater in a cafe, holding a latte, brunette hair, detailed skin, bokeh, female focus, SFW, smiling <lora:Kotono_of_BikinisTokyo:1>
Model description
Trigger Word - Kotono
Trigger words
You should use Kotono to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 4