import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Diego229/comic2")
prompt = "a coca cola can \"sacred elixir\" arcana in the style of TOK a trtcrd, tarot style"
image = pipe(prompt).images[0]FLUX Tarot v1
- Prompt
- a coca cola can "sacred elixir" arcana in the style of TOK a trtcrd, tarot style
- Prompt
- a person giving a ted talk on a TED stage with the TED logo, "the speaker" in the style of TOK a trtcrd, tarot style
- Prompt
- a trtcrd of a person on a computer, on the computer you see a meme being made with an ancient looking trollface, "the shitposter" arcana, in the style of TOK a trtcrd, tarot style
- Prompt
- a work cubicle in the style of TOK a trtcrd, tarot style
- Prompt
- a dog eating pasta, in the style of TOK a trtcrd, tarot style
- Prompt
- a man cutting meat from a kebab vertical rotisserie, it reads "Döner" in the style of TOK a trtcrd, tarot style
Model description
A tarot card LoRA trained with the public domain card set of Raider Waite 1920. Dataset
Trained with fal-ai trainer based on the open source trainer ostris AI Toolkit.
Trigger words
You should use in the style of TOK a trtcrd tarot style to trigger the image 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
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('multimodalart/flux-tarot-v1', weight_name='flux_tarot_v1_lora.safetensors')
image = pipeline('in the style of TOK a trtcrd tarot style').images[0]
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Model tree for Diego229/comic2
Base model
black-forest-labs/FLUX.1-dev