metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- transformers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
jisoowiro, A 20-year-old Korean singer with short black hair and soft fair
skin, wearing a casual oversized hoodie and ripped jeans. She stands on a
lively city street at sunset, holding a guitar case. Her warm smile
reflects her youthful energy, while neon shop signs illuminate the
background. Ultra-HD, realistic, with intricate details of her outfit and
the vibrant urban setting.
output:
url: jisoo1.png
license: other
instance_prompt: jisoowiro
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 Jisoo from Blackpink.
- Developed by: [Wiro AI - ML Team]
- Shared by: Wiro AI
- Prompt
- jisoowiro, A 20-year-old Korean singer with short black hair and soft fair skin, wearing a casual oversized hoodie and ripped jeans. She stands on a lively city street at sunset, holding a guitar case. Her warm smile reflects her youthful energy, while neon shop signs illuminate the background. Ultra-HD, realistic, with intricate details of her outfit and the vibrant urban setting.
Trigger words
You should use jisoowiro 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/Jisoo-Flux-LoRA', weight_name='jisoo_flux_lora.safetensors')
image = pipeline('jisoowiro, A 20-year-old Korean singer with short black hair and soft fair skin, wearing a casual oversized hoodie and ripped jeans. She stands on a lively city street at sunset, holding a guitar case. Her warm smile reflects her youthful energy, while neon shop signs illuminate the background. Ultra-HD, realistic, with intricate details of her outfit and the vibrant urban setting.').images[0]
image.save("output.png")