How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import export_to_video

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("wan-ai/Wan2.1-T2V-14B-Diffusers", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/nun-bora-wan2.1-14b-t2v")

prompt = "A man with short gray hair plays a red electric guitar."

output = pipe(prompt=prompt).frames[0]
export_to_video(output, "output.mp4")

Nun Bora/ヌン・ボラ | Wan2.1 14B T2V

preview

Base model: Wan Video 14B t2v Trained words: Nun Bora, anime-style girl. The image features an anime-style character with purple hair styled in a short, wavy bob adorned with a white bow on the left side of their head. The character has large, expressive blue eyes and is wearing a light pink shirt with a white collar and a pink bow tie. They are also dressed in a long, light purple cardigan over a white blouse, paired with a blue plaid skirt and thigh-high black stockings.

🧠 Usage (Python)

🔑 Get your MUAPI key from muapi.ai/access-keys

import requests, os
url = "https://api.muapi.ai/api/v1/wan21_t2v"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
    "prompt": "masterpiece, best quality",
    "lora_model": "nun-boraヌンボラ-wan21-14b-t2v",
    "lora_strength": 1.0,
    "width": 832,
    "height": 480,
    "num_frames": 81
}
print(requests.post(url, headers=headers, json=payload).json())
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