Instructions to use jeron/me with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jeron/me 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("jeron/me") prompt = "UNICODE\u0000\u0000J\u0000e\u0000r\u0000o\u0000n\u0000 \u0000i\u0000s\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000s\u0000i\u0000d\u0000e\u0000 \u0000a\u0000 \u0000c\u0000o\u0000z\u0000y\u0000,\u0000 \u0000m\u0000o\u0000d\u0000e\u0000r\u0000n\u0000 \u0000b\u0000o\u0000a\u0000t\u0000.\u0000 \u0000H\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000a\u0000n\u0000d\u0000 \u0000a\u0000 \u0000m\u0000u\u0000s\u0000c\u0000u\u0000l\u0000a\u0000r\u0000 \u0000p\u0000h\u0000y\u0000s\u0000i\u0000q\u0000u\u0000e\u0000.\u0000 \u0000H\u0000e\u0000 \u0000i\u0000s\u0000 \u0000d\u0000r\u0000e\u0000s\u0000s\u0000e\u0000d\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000c\u0000a\u0000s\u0000u\u0000a\u0000l\u0000 \u0000y\u0000e\u0000t\u0000 \u0000s\u0000t\u0000y\u0000l\u0000i\u0000s\u0000h\u0000 \u0000o\u0000u\u0000t\u0000f\u0000i\u0000t\u0000:\u0000 \u0000a\u0000 \u0000b\u0000e\u0000i\u0000g\u0000e\u0000 \u0000l\u0000e\u0000a\u0000t\u0000h\u0000e\u0000r\u0000 \u0000j\u0000a\u0000c\u0000k\u0000e\u0000t\u0000,\u0000 \u0000a\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000p\u0000o\u0000l\u0000o\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000t\u0000r\u0000o\u0000u\u0000s\u0000e\u0000r\u0000s\u0000.\u0000 \u0000H\u0000i\u0000s\u0000 \u0000j\u0000a\u0000c\u0000k\u0000e\u0000t\u0000 \u0000i\u0000s\u0000 \u0000u\u0000n\u0000b\u0000u\u0000t\u0000t\u0000o\u0000n\u0000e\u0000d\u0000,\u0000 \u0000r\u0000e\u0000v\u0000e\u0000a\u0000l\u0000i\u0000n\u0000g\u0000 \u0000t\u0000h\u0000e\u0000 \u0000p\u0000o\u0000l\u0000o\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000 \u0000u\u0000n\u0000d\u0000e\u0000r\u0000n\u0000e\u0000a\u0000t\u0000h\u0000.\u0000 \u0000H\u0000i\u0000s\u0000 \u0000h\u0000a\u0000n\u0000d\u0000s\u0000 \u0000a\u0000r\u0000e\u0000 \u0000r\u0000e\u0000s\u0000t\u0000i\u0000n\u0000g\u0000 \u0000o\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000w\u0000i\u0000n\u0000d\u0000o\u0000w\u0000 \u0000f\u0000r\u0000a\u0000m\u0000e\u0000 \u0000w\u0000h\u0000i\u0000c\u0000h\u0000 \u0000h\u0000e\u0000 \u0000i\u0000s\u0000 \u0000l\u0000e\u0000a\u0000n\u0000i\u0000n\u0000g\u0000 \u0000a\u0000g\u0000a\u0000i\u0000n\u0000s\u0000t\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000h\u0000e\u0000 \u0000i\u0000s\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000l\u0000e\u0000f\u0000t\u0000 \u0000o\u0000f\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000a\u0000m\u0000e\u0000r\u0000a\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000a\u0000 \u0000c\u0000o\u0000n\u0000t\u0000e\u0000m\u0000p\u0000l\u0000a\u0000t\u0000i\u0000v\u0000e\u0000 \u0000e\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000.\u0000 \u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
me

- Prompt
- UNICODEJeron is standing inside a cozy, modern boat. He has short black hair and a muscular physique. He is dressed in a casual yet stylish outfit: a beige leather jacket, a dark brown polo shirt, and white trousers. His jacket is unbuttoned, revealing the polo shirt underneath. His hands are resting on the window frame which he is leaning against, and he is looking left of the camera with a contemplative expression.
Model description
literally a lora of me lmfao
Trigger words
You should use jeron 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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