Instructions to use diaskssq321/Hoyeon_Jung with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diaskssq321/Hoyeon_Jung 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("diaskssq321/Hoyeon_Jung") prompt = "UNICODE\u0000\u0000(\u0000(\u0000R\u0000e\u0000t\u0000r\u0000o\u0000 \u00009\u00000\u0000s\u0000 \u0000A\u0000n\u0000i\u0000m\u0000e\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000 \u0000i\u0000l\u0000l\u0000u\u0000s\u0000t\u0000r\u0000a\u0000t\u0000i\u0000o\u0000n\u0000)\u0000)\u0000 \u0000d\u0000r\u0000a\u0000w\u0000i\u0000n\u0000g\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000u\u0000p\u0000 \u0000o\u0000n\u0000 \u0000f\u0000a\u0000c\u0000e\u0000 \u0000o\u0000f\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000t\u0000r\u0000e\u0000n\u0000c\u0000h\u0000-\u0000c\u0000o\u0000a\u0000t\u0000 \u0000f\u0000u\u0000t\u0000u\u0000r\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000c\u0000i\u0000t\u0000y\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000 \u0000o\u0000f\u0000 \u0000t\u0000h\u0000e\u0000 \u00009\u00000\u0000s\u0000 \u0000a\u0000n\u0000i\u0000m\u0000e\u0000 \u0000A\u0000k\u0000i\u0000r\u0000a\u0000.\u0000 \u0000,\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000h\u0000o\u0000y\u0000e\u0000o\u0000n\u0000_\u0000l\u0000o\u0000c\u0000a\u0000l\u0000_\u0000f\u0000l\u0000u\u0000x\u0000_\u00001\u0000_\u0000s\u0000t\u0000a\u0000n\u0000d\u0000a\u0000r\u0000d\u0000-\u00000\u00000\u00000\u00000\u00003\u00003\u0000:\u00001\u0000>\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Hoyeon_Jung

- Prompt
- UNICODE((Retro 90s Anime style illustration)) drawing of a closeup on face of woman wearing a long black trench-coat futuristic city in the background in the style of the 90s anime Akira. ,<lora:hoyeon_local_flux_1_standard-000033:1>

- Prompt
- UNICODEInstagram photo of a woman with freckles on her face in the winter outdoors silhouette illumination of her hair. Taken with a ProPhoto iPhone camera. ,<lora:hoyeon_local_flux_1_standard-000033:1>
Trigger words
You should use Hoyeon_Jung 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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