metadata

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
language:
  - en
tags:
  - flux
  - diffusers
  - lora
  - replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: KUJI
widget:
  - text: Cherry tree in the style of KUJI
    output:
      url: examples/1.JPG
  - text: Vibrant sunset. Effects and flares in the style of KUJI.
    output:
      url: examples/2.webp
  - text: >-
      View through car window looking out on the desert, light leak effect,
      scenery, blurry, flmft in the style of KUJI.
    output:
      url: examples/3.JPG
  - text: >-
      A mountain peak piercing through a sea of clouds at sunrise, with
      alpenglow on the summits, lens flare streaking across, flmft in the style
      of KUJI
    output:
      url: examples/4.JPG
  - text: Sunny day at the beach in the style of KUJI.
    output:
      url: examples/5.WEBP
  - text: >-
      Teenage bedroom with posters and clutter, warm color palette, flmft in the
      style of KUJI.
    output:
      url: examples/6.JPG

Flux Lora Kuji

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use KUJI to trigger the image generation.

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.float16).to('cuda')
pipeline.load_lora_weights('ludocomito/flux-lora-kuji', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]

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