---
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
base_model: black-forest-labs/FLUX.1-schnell
pipeline_tag: text-to-image
instance_prompt: In the stlye of LBRTR
library_name: diffusers
inference:
  parameters:
    width: 1024
    height: 1024
widget:
- text: A photo of a flower, in the style of LBRTR
  output:
    url: images/example_n13kg3os6.png
- text: a photo of a dog, in the style of LBRTR
  output:
    url: images/example_mr52j6uo8.png
- text: >-
    A photo of a chair in the dark, strong backlighting rim lighting, in the
    style of LBRTR
  output:
    url: images/example_3gbsw7i05.png

---

# Flux Aluber Itura

Trained on Replicate using:

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


## Trigger words
You should use `LBRTR` to trigger the image generation.

<Gallery />


## 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('lichorosario/flux-samhtr-remastered', 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)