metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      Gyeongbokgung Palace in Seoul, South Korea. It is a large building with
      stairs leading up to the entrance, surrounded by a wall. In the
      background, there are other buildings, mountains, and a clear blue sky.
      [trigger]
    output:
      url: samples/1733557755116__000001000_0.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: korea palace
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

flux-lora-korea-palace

Prompt
Gyeongbokgung Palace in Seoul, South Korea. It is a large building with stairs leading up to the entrance, surrounded by a wall. In the background, there are other buildings, mountains, and a clear blue sky. [trigger]

Trigger words

You should use korea palace 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/flux-lora-korea-palace', weight_name='flux-lora-korea-palace.safetensors')
image = pipeline('Gyeongbokgung Palace in Seoul, South Korea. It is a large building with stairs leading up to the entrance, surrounded by a wall. In the background, there are other buildings, mountains, and a clear blue sky. [trigger]').images[0]
image.save("my_image.png")

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