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("Muapi/tarots-pro-flux")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Tarots PRO Flux
Base model: Flux.1 D Trained words: the_hanged_man, the_world, the_devil, lovers, justice, temperance, the_tower, the_moon, the_hierophant, the_fool, the_chariot, the_hermit, the_sun, the_emperor, judgement, the_strength, the_star, the_magician, death, the_highpriestess, the_wheel_of_fortune, the_empress, celtic, italian1, italian2, woodcut, grl pwr, Marseille, Rider_Waite, tarot card
🧠 Usage (Python)
🔑 Get your MUAPI key from muapi.ai/access-keys
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality, 1girl, looking at viewer",
"model_id": [{"model": "civitai:977598@1094847", "weight": 1.0}],
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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black-forest-labs/FLUX.1-dev