Instructions to use Muapi/the-shadow-witch-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/the-shadow-witch-lora with Diffusers:
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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
The Shadow Witch LORA
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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Model tree for Muapi/the-shadow-witch-lora
Base model
black-forest-labs/FLUX.1-dev