README.md

---
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: ARUNUN
widget:
- text: >-
    A vibrant and dynamic movie poster featuring ARUNUN, a stylish male hero
    with a white skin tone, confidently smiling, ARUNUN's face must be clearly
    visible, with detailed facial features preserved from the trained model, He
    is dressed in a sleek black suit and wearing stylish black glasses, exuding
    power and charisma, The movie title 'ARUN' is displayed prominently in bold,
    glowing letters at the bottom in vibrant colors, To his left, a line of
    imposing bodyguards in matching black suits stands in formation, and to his
    right, a group of determined police officers in uniform, The background
    features dramatic urban skyscrapers bathed in the glow of a golden sunset,
    with vibrant and full-brightness hues that make the poster pop.
  output:
    url: images/example_fpf52utud.png
- text: >-
    A vibrant and dynamic movie poster featuring ARUNUN, a stylish male hero
    with a white skin tone, confidently standing, ARUNUN's face must be clearly
    visible, with detailed facial features preserved from the trained model, He
    is dressed in a white lab coat, holding a stethoscope and a medical chart,
    exuding compassion and professionalism, The movie title 'ARUN' is displayed
    prominently in bold, glowing letters at the bottom in vibrant colors, To his
    left, medical staff tend to a patient, and to his right, advanced medical
    equipment gleams, The background features a bustling hospital setting with
    warm and bright lighting.
  output:
    url: images/example_tld5mdh7y.png

---

# Arunun

<Gallery />

Trained on Replicate using:

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


## Trigger words
You should use `ARUNUN` 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('indiakingarun/arunun', 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)