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/yukishiro-mahiro-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")Yukishiro Mahiro/雪城眞尋 | Wan2.1 14B T2V
Base model: Wan Video 14B t2v Trained words: Yukishiro Mahiro, anime-style girl. The image features a character with long, flowing light blue hair that cascades down to the shoulders. The hair is styled in loose waves, giving it a soft and elegant appearance. There are two blue roses attached to the hair, one on each side, adding a touch of color and detail.The character has striking blue eyes that stand out prominently against their pale skin. The eyes are large and expressive, contributing to the overall charm of the character.The character is wearing a black dress with intricate lace detailing on the shoulders. The top part of the outfit has a lace-up design, revealing a hint of skin. The sleeves are thin and fitted, complementing the overall aesthetic. The bottom part of the outfit appears to be a skirt or dress, with a ruffled hemline that adds a touch of elegance. She also wears a black belt with silver buckles around her waist, which complements her overall look.Her lower outfit consists of a light blue, puffy skirt that reaches just above her knees. The skirt is layered with multiple layers of fabric, creating a voluminous effect. The character is wearing black gloves that have a decorative pattern,
🧠 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": "yukishiro-mahiro雪城眞尋-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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