metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
Lee Min Ho as an actor from a drama, grey raincoat, real photo, black
hair, 26K
output:
url: samples/1746430676105__000001144_0.jpg
- text: >-
Lee Min Ho as a rich fashion model, studio photo, elegant yellow suit,
happy face, best quality, 26K
output:
url: samples/1746430705853__000001144_1.jpg
- text: >-
A Lee Min Ho as a bodyguard, urban street, smart and clever face
expression, 26K
output:
url: samples/1746430735777__000001144_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Lee Min Ho
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
lee-min-ho
Model trained with AI Toolkit by Ostris

- Prompt
- Lee Min Ho as an actor from a drama, grey raincoat, real photo, black hair, 26K

- Prompt
- Lee Min Ho as a rich fashion model, studio photo, elegant yellow suit, happy face, best quality, 26K

- Prompt
- A Lee Min Ho as a bodyguard, urban street, smart and clever face expression, 26K
Trigger words
You should use Lee Min Ho
to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/lee-min-ho', weight_name='lee-min-ho.safetensors')
image = pipeline('Lee Min Ho as an actor from a drama, grey raincoat, real photo, black hair, 26K').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers