Instructions to use leonel4rd/Jitostyleart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonel4rd/Jitostyleart 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("leonel4rd/Jitostyleart") prompt = "UNICODE\u0000\u0000E\u0000v\u0000i\u0000l\u0000 \u0000s\u0000c\u0000a\u0000r\u0000y\u0000 \u0000G\u0000a\u0000r\u0000f\u0000i\u0000e\u0000l\u0000d\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000a\u0000t\u0000 \u0000s\u0000t\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000l\u0000a\u0000s\u0000a\u0000g\u0000n\u0000a\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000t\u0000h\u0000e\u0000 \u0000t\u0000e\u0000x\u0000t\u0000 \u0000\"\u0000L\u0000A\u0000S\u0000A\u0000G\u0000N\u0000A\u0000\"\u0000 \u0000i\u0000n\u0000 \u0000m\u0000o\u0000n\u0000o\u0000c\u0000h\u0000r\u0000o\u0000m\u0000e\u0000 \u0000j\u0000i\u0000t\u0000o\u0000s\u0000t\u0000y\u0000l\u0000e\u0000.\u0000 \u0000 \u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000J\u0000u\u0000n\u0000j\u0000i\u0000_\u0000I\u0000t\u0000o\u0000_\u0000S\u0000t\u0000y\u0000l\u0000e\u0000_\u0000F\u00001\u0000D\u0000:\u00001\u0000.\u00003\u0000>\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Junji_Ito_Style_F1D-000018.safetensors
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images/00022-165919740.jpeg
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