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
  - style
  - magic
  - doll
  - voodoo
  - protoart
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: Voodoo
widget:
  - text: ' '
    output:
      url: 22349652.jpeg
  - text: ' '
    output:
      url: 22348499.jpeg
  - text: ' '
    output:
      url: 22352311.jpeg
  - text: ' '
    output:
      url: 22337843.jpeg
  - text: ' '
    output:
      url: 22337842.jpeg
  - text: ' '
    output:
      url: 22362646.jpeg

Voodoo Doll

Model description

Lots of training done on voodoo dolls but prompt as needed

Trigger words

You should use Voodoo, evang 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

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/voodoo-doll', weight_name='Voodoo_Doll.safetensors')
image = pipeline('`Voodoo`, `evang`').images[0]

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