Momo-Flux-LoRA / README.md
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metadata
tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - transformers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      mmowiro, A Korean pop star with sleek black hair parted to one side and
      flawless fair skin. She wears a bold black leather jacket with silver
      embellishments, standing under cool-toned studio lighting. Her piercing
      gaze conveys confidence and intensity, with no smile. Ultra-HD, realistic,
      emphasizing her strong features and stylish outfit.
    output:
      url: momo2.png
license: other
instance_prompt: mmowiro
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
Wiro AI

Model Details

Model Description

This LoRA is trained for anyone who like Momo from Twice.

  • Developed by: [Wiro AI - ML Team]
  • Shared by: Wiro AI
Prompt
mmowiro, A Korean pop star with sleek black hair parted to one side and flawless fair skin. She wears a bold black leather jacket with silver embellishments, standing under cool-toned studio lighting. Her piercing gaze conveys confidence and intensity, with no smile. Ultra-HD, realistic, emphasizing her strong features and stylish outfit.

Trigger words

You should use mmowiro 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/Momo-Flux-LoRA', weight_name='momo_flux_lora.safetensors')
image = pipeline('mmowiro, a Korean pop star with sleek black hair parted to one side and flawless fair skin. She wears a bold black leather jacket with silver embellishments, standing under cool-toned studio lighting. Her piercing gaze conveys confidence and intensity, with no smile. Ultra-HD, realistic, emphasizing her strong features and stylish outfit.').images[0]
image.save("output.png")