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/yaguruma-rine-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")Yaguruma Rine/矢車りね | Wan2.1 14B T2V
Base model: Wan Video 14B t2v Trained words: Yaguruma Rine, anime-style girl. The image features an anime-style character with light blonde hair styled in two braids adorned with purple flowers. The character has green eyes and is wearing glasses. The character's outfit includes a white blouse with polka dots and a yellow skirt with white polka dots. The blouse has a green ribbon tied around the neck and a small bow on the chest. The character is also wearing a headband with a purple flower and a small decorative element.The character is wearing a white hat with a purple band and a small flower decoration on the front.
🧠 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": "yaguruma-rine矢車りね-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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