metadata

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

Prompt
A pornstar woman holding a Neon sign "SLDR Flux NSFW v2 Studio"

Prompt
a Neon sign that show an illustration of (2 fingers and a pussy)

(CivitAI)

Model description

Introducing Neon Environments Model: Illuminating Arcades and Pubs

Neon Environments Model, is designed to generate visually striking images inspired by arcades, pubs, and other premises adorned with neon lights.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

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