metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - neon
  - concept
  - text
  - sign
  - neon signs
  - purz
  - flux1.d
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: n30n_51gn
widget:
  - text: n30n_51gn, a neon sign that says "Civitai"
    output:
      url: 33944768.jpeg
  - text: n30n_51gn, a yellow neon sign that says "Stack That Buzz"
    output:
      url: 33944776.jpeg
  - text: n30n_51gn, a neon sign that says "Civitai"
    output:
      url: 33944786.jpeg
  - text: n30n_51gn, a neon sign of a donut with sprinkles
    output:
      url: 33944916.jpeg
  - text: n30n_51gn, a neon sign an uzi
    output:
      url: 33944921.jpeg
  - text: |
      n30n_51gn, a neon sign of red lips kissing
    output:
      url: 33944982.jpeg
  - text: >-
      n30n_51gn, a neon sign of a donut with sprinkles, sign that says "The
      Donut Hole"
    output:
      url: 33945041.jpeg

Neon Sign

Prompt
n30n_51gn, a neon sign of a donut with sprinkles

Prompt
n30n_51gn, a neon sign of red lips kissing

Prompt
n30n_51gn, a neon sign of a donut with sprinkles, sign that says "The Donut Hole"

Model description

Neon Sign - LoRA (Flux.1 D)

Trained on images of piped neon signs, it's great at text but can also do icons and emojis.

" n30n_51gn, a yellow neon sign that says "Stack That Buzz" "

Purz

Website: https://www.purz.xyz/
Creative Exploration /w Purz: https://www.youtube.com/@PurzBeats
Patreon: https://www.patreon.com/Purz
Twitter/X: https://x.com/PurzBeats
Instagram: https://www.instagram.com/purzbeats/

Trigger words

You should use n30n_51gn to trigger the image generation.

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('Purz/neon-sign', weight_name='purz-n30n_51gn.safetensors')
image = pipeline('n30n_51gn, a neon sign of a donut with sprinkles, sign that says "The Donut Hole"').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers