metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A person in a bustling cafe president yoon
    output:
      url: samples/1737261214646__000001000_0.jpg
  - text: A Soldier in a combat president yoon
    output:
      url: samples/YOON1.webp
  - text: A person Marathon president yoon
    output:
      url: samples/YOON3.webp
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: president yoon
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

korea-president-yoon

Prompt
A person in a bustling cafe president yoon

Prompt
A Soldier in a combat president yoon

Trigger words

You should use president yoon 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/korea-president-yoon', weight_name='korea-president-yoon.safetensors')
image = pipeline('A person in a bustling cafe president yoon').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers