---
license: apache-2.0
inference: true
pipeline_tag: text-to-image
library_name: diffusers
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- image-generation
- text2image
- style
- styles
- tarot
- vaporwave
- stable-diffusion-diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: VTR vaporwave style tarot card of
widget:
- text: vaporwave style VTR tarot card of a cat, which reads "CAT"
  output:
    url: images/example_xk4mamm41.png
- text: >-
    vaporwave style  TRT tarot card of  a FOOL, a fool walking og og the edge of
    a cliff, realistic futuristic fool character
  output:
    url: images/example_1vxwupsqq.png

---

# VAPORWAVE STYLE TAROT LowRankAdaptor (LoRA) for StableDiffusion SDXL Models

(a Tarot card style LoRA we made back around mid 2023)

<Gallery />

## Trigger words
You should use `VTR vaporwave style tarot card`

## 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('AlekseyCalvin/Vaporwave_Tarot_SDXL_lora_2023_SilverAgePoets')
image = pipeline('your prompt').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)