How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
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/the-shadow-witch-lora")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

The Shadow Witch LORA

preview

Base model: Flux.1 D Trained words: Ethereal, Gothic, Enchanted, Glowing Eyes, Foggy Forest, Haunting, Moonlit, Mystical, Witching Hour, Dark Elegance, Phantom, Ghostly, Shadowy, Arcane, Embers, Pale Skin, Flowing Gown, Ancient Magic, Enchantress, Spectral, Haunting Beauty, Midnight Wanderer, Shadow Witch, Revenant, Dark Aura.

🧠 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:853994@955460", "weight": 1.0}],
    "width": 1024,
    "height": 1024,
    "num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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