Text-to-Image
Diffusers
concept
cursed
lora
meme
memes
migrated
shitposting
stable-diffusion
template:sd-lora
Instructions to use analogspiderweb/cursed-images-sdxl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use analogspiderweb/cursed-images-sdxl-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("analogspiderweb/cursed-images-sdxl-lora") prompt = "cursed image " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
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

- Prompt
- cursed image

- Prompt
- cursed image

- Prompt
- cursed image

- Prompt
- cursed image

- Prompt
- cursed image
This model was originally uploaded on CivitAI, by analogspiderweb. The information below was provided by the author on CivitAI: (CivitAI)
Model description
Trained on top posts from reddit.com/r/cursedimages
Some (but not all) preview images were made with TensorRT: https://github.com/NVIDIA/Stable-Diffusion-WebUI-TensorRT
Trigger words
You should use cursed image to trigger the 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
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