Instructions to use hgutjh/JO4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hgutjh/JO4 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("hgutjh/JO4") prompt = "UNICODE\u0000\u0000B\u0000r\u0000e\u0000a\u0000t\u0000h\u0000t\u0000a\u0000k\u0000i\u0000n\u0000g\u0000 \u0000o\u0000v\u0000e\u0000r\u0000 \u0000t\u0000h\u0000e\u0000 \u0000s\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000 \u0000s\u0000h\u0000o\u0000t\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000 \u0000o\u0000f\u0000 \u0000o\u0000h\u0000w\u0000x\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000i\u0000m\u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000i\u0000o\u0000n\u0000s\u0000,\u0000 \u0000n\u0000e\u0000c\u0000k\u0000l\u0000a\u0000c\u0000e\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000o\u0000v\u0000e\u0000r\u0000 \u0000s\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000s\u0000,\u0000 \u0000e\u0000y\u0000e\u0000l\u0000a\u0000s\u0000h\u0000e\u0000s\u0000,\u0000 \u0000f\u0000i\u0000n\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000,\u0000 \u0000e\u0000n\u0000t\u0000i\u0000r\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000s\u0000t\u0000y\u0000l\u0000e\u0000 \u0000v\u0000i\u0000s\u0000i\u0000b\u0000l\u0000e\u0000,\u0000 \u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000 \u0000e\u0000y\u0000e\u0000s\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000i\u0000r\u0000i\u0000s\u0000 \u0000p\u0000a\u0000t\u0000t\u0000e\u0000r\u0000n\u0000,\u0000 \u0000s\u0000e\u0000n\u0000s\u0000u\u0000a\u0000l\u0000 \u0000l\u0000i\u0000p\u0000s\u0000,\u0000 \u0000n\u0000o\u0000s\u0000e\u0000,\u0000 \u0000(\u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000l\u0000y\u0000 \u0000s\u0000h\u0000a\u0000r\u0000p\u0000:\u00001\u0000.\u00003\u0000)\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000t\u0000e\u0000x\u0000t\u0000u\u0000r\u0000e\u0000s\u0000,\u0000 \u0000(\u0000d\u0000e\u0000e\u0000p\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000 \u0000o\u0000n\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000:\u00001\u0000.\u00005\u0000)\u0000,\u0000 \u00008\u0000k\u0000 \u0000u\u0000h\u0000d\u0000,\u0000 \u0000d\u0000s\u0000l\u0000r\u0000,\u0000 \u0000u\u0000l\u0000t\u0000r\u0000a\u0000 \u0000h\u0000i\u0000g\u0000h\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000 \u0000i\u0000m\u0000a\u0000g\u0000e\u0000,\u0000 \u0000f\u0000i\u0000l\u0000m\u0000 \u0000g\u0000r\u0000a\u0000i\u0000n\u0000,\u0000 \u0000F\u0000u\u0000j\u0000i\u0000f\u0000i\u0000l\u0000m\u0000 \u0000X\u0000T\u00003\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
JO4

- Prompt
- UNICODEBreathtaking over the shoulder shot photography of ohwx looking at viewer, imperfections, necklace, looking over shoulders, eyelashes, fine hair detail, entire hairstyle visible, perfect eyes with iris pattern, sensual lips, nose, (perfectly sharp:1.3), realistic textures, (deep focus, focus on background:1.5), 8k uhd, dslr, ultra high quality image, film grain, Fujifilm XT3
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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