metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- transformers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
chaeyoungwiro, A poised K-pop singer with short silver hair and striking
blue eyes, dressed in a tailored white suit with subtle sequins. She leans
against a piano in a dimly lit studio, her expression calm and thoughtful.
Ultra-HD, realistic, emphasizing the elegance of her outfit and the soft
ambiance of the setting.
output:
url: chaeyoung3.png
license: other
instance_prompt: chaeyoungwiro
base_model:
- black-forest-labs/FLUX.1-dev
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
Model Details
Model Description
This LoRA is trained for anyone who like Chaeyoungwiro from Twice.
- Developed by: [Wiro AI - ML Team]
- Shared by: Wiro AI

- Prompt
- chaeyoungwiro, A K-pop singer with jet-black hair styled in a sleek bob and glowing fair skin, wearing a shimmering gold off-shoulder dress. She stands on a grand stage, illuminated by soft spotlights, holding a sparkling microphone with grace. Her intense gaze captivates the audience. Ultra-HD, realistic, with intricate details of her outfit and the glamorous atmosphere
Trigger words
You should use chaeyoungwiro
to trigger the image generation.
Civitai model link: civitai
from diffusers import FluxPipeline
import torch
pipeline = FluxPipeline.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('WiroAI/Chaeyoung-Flux-LoRA', weight_name='chaeyoung_flux_lora.safetensors')
image = pipeline('chaeyoungwiro, A poised K-pop singer with short silver hair and striking blue eyes, dressed in a tailored white suit with subtle sequins. She leans against a piano in a dimly lit studio, her expression calm and thoughtful. Ultra-HD, realistic, emphasizing the elegance of her outfit and the soft ambiance of the setting.').images[0]
image.save("output.png")