license: openrail++
library_name: diffusers
base_model: wan-ai/Wan2.1-T2V-14B-Diffusers
tags:
- lora
- text-to-video
- wan
- wan2.1
- wan-video-14b-t2v
pipeline_tag: text-to-video
Aelita_NX T2V Model
Base model: Wan Video 14B t2v Trained words: AelitACODEL, The character is a young woman with short, spiky pink hair and a pale skin tone. She has a small, slender build with a youthful appearance. She has a small bust., This is a digital drawing in an anime style. She is wearing a long-sleeved, knee-length dress in a deep maroon color with a high neckline and three small, rounded buttons down the front., The image is a digital 3D CGI rendering of a stylized, fantastical character. She is dressed in a futuristic, high-tech outfit consisting of a sleeveless top with horizontal stripes in shades of pink, white, and purple, and a short, pleated skirt with a star-shaped buckle at the waist., The image is a digital 3D CGI rendering of a stylized, fantastical character. The character is a young elf-like with pointed ears. They are dressed in a medieval-inspired outfit consisting of a short, maroon dress with a white sash around the waist, and matching maroon sleeves that extend to the elbows., This is a digital drawing in an anime style. She is dressed in a futuristic, high-tech outfit that includes a white and purple top with a high collar, a blue and white chest piece, and matching gloves. Her outfit also features a futuristic, segmented design with a metallic sheen., This is a digital drawing in an anime style. She is dressed in a dark, long-sleeved dress with a high collar, styled in a Victorian or Gothic fashion. The dress is a deep purple color with a subtle gradient effect, fading slightly lighter towards 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": "aelita_nx-t2v-model",
"lora_strength": 1.0,
"width": 832,
"height": 480,
"num_frames": 81
}
print(requests.post(url, headers=headers, json=payload).json())