Chaeyoung-Flux-LoRA / README.md
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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")