README.md

---
license: other
license_name: "bespoke-lora-trained-license"
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
- concept
- cursed
- diffusers
- lora
- meme
- memes
- migrated
- shitposting
- stable-diffusion
- template:sd-lora
- text-to-image

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: cursed image
widget:
- text: 'cursed image '
  
  output:
    url: >-
      5341274.jpeg
- text: 'cursed image '
  
  output:
    url: >-
      5341275.jpeg
- text: 'cursed image '
  
  output:
    url: >-
      5341283.jpeg
- text: 'cursed image '
  
  output:
    url: >-
      5341297.jpeg
- text: 'cursed image '
  
  output:
    url: >-
      5341298.jpeg
---

# Cursed Images SDXL LoRA 

<Gallery />

This model was originally uploaded on [CivitAI](https://civitai.com/models/259970), by [analogspiderweb](https://civitai.com/user/analogspiderweb/models). The information below was provided by the author on CivitAI:
([CivitAI](https://civitai.com/models/259970))

## Model description
<p>Trained on top posts from <a target="_blank" rel="ugc" href="http://reddit.com/r/cursedimages">reddit.com/r/cursedimages</a></p><p>Some (but not all) preview images were made with TensorRT: <a target="_blank" rel="ugc" href="https://github.com/NVIDIA/Stable-Diffusion-WebUI-TensorRT">https://github.com/NVIDIA/Stable-Diffusion-WebUI-TensorRT</a></p>

## Trigger words
You should use `cursed image` to trigger the generation.

## Download model
Weights for this model are available in Safetensors format.
[Download](/analogspiderweb/cursed-images-sdxl-lora/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

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to(device)
pipe.load_lora_weights('analogspiderweb/cursed-images-sdxl-lora', weight_name='cursedimagessdxl.safetensors')
image = pipeline('cursed image ').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)