metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - style
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
widget:
  - text: ' '
    output:
      url: 18700656.jpeg
  - text: ' '
    output:
      url: 18700653.jpeg
  - text: ' '
    output:
      url: 18700664.jpeg

DarkGlow 3.0

Model description

Updated data set of my previous 1.5 model now trained with the XL base.

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

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/darkglow-3-0', weight_name='DarkGlow_3.0.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