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brushpenbob
/
voodoo-doll

Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
style
magic
doll
voodoo
protoart
Model card Files Community
voodoo-doll
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---
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 

<Gallery />





## Model description

<p>Lots of training done on voodoo dolls but prompt as needed</p>

## Trigger words
You should use `Voodoo`, `evang` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/brushpenbob/voodoo-doll/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)