metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      A person in a spanish cafe Jungkook with rainbow hair color, pink suitm
      best quality, real photo, 26K
    output:
      url: samples/1732773611180__000001539_0.jpg
  - text: >-
      A Jungkook with orange hair color, purple t-shirt and brown jeans, best
      quality, real photo, 26K
    output:
      url: samples/1732773641590__000001539_1.jpg
  - text: >-
      A person in a korean garden Jungkook with pink hair color, dark grey shirt
      and yellow jeans, best quality, real photo, 26K
    output:
      url: samples/1732773674126__000001539_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Jungkook
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

jungkook

Prompt
A person in a korean garden Jungkook with pink hair color, dark grey shirt and yellow jeans, best quality, real photo, 26K

Trigger words

You should use Jungkook 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/jungkook', weight_name='jungkook.safetensors')
image = pipeline('A person in a spanish cafe Jungkook with rainbow hair color, pink suitm best quality, real photo, 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