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("Lightricks/LTX-Video", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Muapi/star-trek-tng-uniforms-ltx2-2-variants")

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

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

Star Trek TNG uniforms (LTX2)(2 variants)

preview

Base model: LTXV2 Trained words: blue tng uniform with long sleeves and black pants and black shoulders, yellow tng uniform with long sleeves and black pants and black shoulders, red tng uniform with long sleeves and black pants and black shoulders

๐Ÿง  Usage (Python)

๐Ÿ”‘ Get your MUAPI key from muapi.ai/access-keys

import requests, os
url = "https://api.muapi.ai/api/v1/ltx_lora_video"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
    "prompt": "masterpiece, best quality",
    "lora_model": "star-trek-tng-uniforms-ltx2-2-variants",
    "lora_strength": 1.0,
    "width": 768,
    "height": 512,
    "num_frames": 97
}
print(requests.post(url, headers=headers, json=payload).json())
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