Instructions to use drthjuyk/ATJ7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use drthjuyk/ATJ7 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("drthjuyk/ATJ7") 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 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\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:\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
ATJ7

- Prompt
- UNICODEBreathtaking over the shoulder shot photography of ohwx looking at viewer, imperfections, necklace, looking at viewer, eyelashes, fine hair detail, entire hairstyle visible, perfect eyes with iris pattern, sensual lips, nose, (perfectly sharp:1.3), realistic textures, (deep focus: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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