README.md

metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      the Namsan Tower in korea seoul, surrounded by trees and buildings. The
      sky is visible in the background, and there are watermarks on the image.
      [trigger]
    output:
      url: samples/1729055195774__000001000_0.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: namsan tower
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

ntower

Prompt

the Namsan Tower in korea seoul, surrounded by trees and buildings. The sky is visible in the background, and there are watermarks on the image. [trigger]

Trigger words

You should use namsan tower 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('seawolf2357/ntower', weight_name='ntower.safetensors')
image = pipeline('the Namsan Tower in korea seoul, surrounded by trees and buildings. The sky is visible in the background, and there are watermarks on the image. [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