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---
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.JPEG
- 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
<Gallery />
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](https://github.com/huggingface/diffusers)
```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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