---
license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- 3d
- bar
- background
- arcade
- living room
- train
- bathroom
- bowling
- diner
- pub
- hallway
- backgrounds
- neons
- escalator
- disco bar
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
widget:
- text: ' '
  output:
    url: 31343274.jpeg
- text: ' '
  output:
    url: 31343350.jpeg
- text: ' '
  output:
    url: 31343277.jpeg
- text: ' '
  output:
    url: 31343276.jpeg
- text: ' '
  output:
    url: 31343637.jpeg
- text: ' '
  output:
    url: 31343886.jpeg
- text: ' '
  output:
    url: 31343254.jpeg
- text: ' '
  output:
    url: 31343255.jpeg
- text: ' '
  output:
    url: 31343256.jpeg
- text: A pornstar woman holding a  Neon sign "SLDR Flux NSFW v2 Studio"
  output:
    url: images/example_sfeoq5az5.png
- text: a Neon sign that show an illustration of (2 fingers and a pussy)
  output:
    url: images/example_hrthffo2b.png

---

# Neon Environments 

<Gallery />



([CivitAI](https://civitai.com/models/))

## Model description

<p>Introducing Neon Environments Model: Illuminating Arcades and Pubs</p><p>Neon Environments Model, is designed to generate visually striking images inspired by arcades, pubs, and other premises adorned with neon lights.</p>



## Download model

Weights for this model are available in Safetensors format.

[Download](/Keltezaa/neon-environments/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/neon-environments', weight_name='Neon_Environments.safetensors')
image = pipeline('Your custom 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)