---
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: RG2027
widget:
- text: >-
    The man in the image stands in a natural setting with a beautiful
    mountainous backdrop under a clear blue sky with a few light clouds. He is
    wearing a long-sleeved athletic jacket in white, featuring a mountain map
    design with soft brown lines on the sleeves and body, along with a prominent
    light brown pocket on the chest and a smaller pocket on the left side of the
    waist. The jacket has a high collar in the same brown color. The fabric
    looks comfortable and light, likely made from cotton or nylon, suitable for
    outdoor activities. He wears black shorts that match the sporty design, made
    of a lightweight and practical fabric like nylon or light cotton, allowing
    him to move freely while walking in nature. His shoes are white athletic
    sneakers with a sturdy design, ideal for outdoor activities like hiking or
    walking, paired with long white socks featuring simple brown patterns that
    complement the jacket. The lighting is entirely natural, with the sun low in
    the sky, casting a soft golden hue that reflects off his clothing and skin,
    enhancing the natural ambiance. The background consists of distant mountains
    covered in greenery and a ground filled with dry grass that matches the warm
    atmosphere, evoking a sense of outdoor adventure.
  output:
    url: images/example_u53p1lone.png

---

# Rg2027

<!-- <Gallery /> -->

Trained on Replicate using:

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


## Trigger words
You should use `RG2027` 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('renoomon/RG2027', 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)