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/petra-gurin-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")Petra Gurin/ペトラ グリン | Wan2.1 14B T2V
Base model: Wan Video 14B t2v Trained words: Petra Gurin, anime-style girl. The image features an anime-style character with short, dark brown hair that has a mix of black and orange highlights adorned with a small blue fish accessory on the right side. with a small tuft of blonde at the top. The character has striking blue eyes. The character's clothing includes a white hoodie with a brown hood, a yellow scarf tied around the neck, and a white shirt underneath. The outfit also features a brown belt with a silver buckle.The hoodie is paired with a white skirt that has black triangular patterns along the hem.
🧠 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": "petra-gurinペトラ-グリン-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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