Instructions to use ChandrilBasu/LeonardodaVinci with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/LeonardodaVinci 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("ChandrilBasu/LeonardodaVinci") prompt = "UNICODE\u0000\u0000s\u0000t\u0000y\u0000l\u0000e\u0000 \u0000o\u0000f\u0000 \u0000L\u0000e\u0000o\u0000n\u0000a\u0000r\u0000d\u0000o\u0000 \u0000d\u0000a\u0000 \u0000V\u0000i\u0000n\u0000c\u0000i\u0000,\u0000s\u0000h\u0000e\u0000 \u0000i\u0000s\u0000 \u0000b\u0000r\u0000u\u0000n\u0000e\u0000t\u0000t\u0000e\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000 \u0000m\u0000o\u0000u\u0000t\u0000h\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000d\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000o\u0000i\u0000l\u0000 \u0000p\u0000a\u0000i\u0000n\u0000t\u0000i\u0000n\u0000g\u0000,\u0000v\u0000i\u0000n\u0000t\u0000a\u0000g\u0000e\u0000 \u0000p\u0000a\u0000i\u0000n\u0000t\u0000i\u0000n\u0000g\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Leonardo da Vinci

- Prompt
- UNICODEstyle of Leonardo da Vinci,she is brunette, short smile, mouth closed, black hair,oil painting,vintage painting
Trigger words
You should use style of Leonardo da Vinci to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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