Text-to-Image
Diffusers
stable-diffusion
lora
image-generation
text2image
style
styles
tarot
vaporwave
stable-diffusion-diffusers
Instructions to use AlekseyCalvin/Vaporwave_Tarot_SDXL_lora_2023_SilverAgePoets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/Vaporwave_Tarot_SDXL_lora_2023_SilverAgePoets 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("AlekseyCalvin/Vaporwave_Tarot_SDXL_lora_2023_SilverAgePoets") prompt = "vaporwave style VTR tarot card of a cat, which reads \"CAT\"" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
VAPORWAVE STYLE TAROT LowRankAdaptor (LoRA) for StableDiffusion SDXL Models
(a Tarot card style LoRA we made back around mid 2023)

- Prompt
- vaporwave style VTR tarot card of a cat, which reads "CAT"

- Prompt
- vaporwave style TRT tarot card of a FOOL, a fool walking og og the edge of a cliff, realistic futuristic fool character
Trigger words
You should use VTR vaporwave style tarot card
Use it with the 🧨 diffusers library
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
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Model tree for AlekseyCalvin/Vaporwave_Tarot_SDXL_lora_2023_SilverAgePoets
Base model
stabilityai/stable-diffusion-xl-base-1.0