voodoo-doll / README.md
brushpenbob's picture
Upload folder using huggingface_hub
b34498b verified
---
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)