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
- Prompt
- Prompt
- Prompt
- Prompt
- Prompt
- Prompt
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