LTX-2: ओपन सोर्स के माध्यम से उपभोक्ता GPUs पर मूल 4K AI वीडियो जनरेशन

# LTX model family specifications
ltx_video_original = {
    "resolution": "768x512",  # Base model
    "max_duration": 5,  # seconds
    "fps": range(24, 31),  # 24-30 FPS
    "diffusion_steps": 20,
    "h100_time": "4 seconds for 5-second video",
    "rtx4090_time": "11 seconds for 5-second video"
}
 
ltx2_capabilities = {
    "resolution": "up to 3840x2160",  # Native 4K
    "max_duration": 10,  # seconds confirmed, 60s experimental
    "fps": "up to 50",
    "synchronized_audio": True,
    "rtx4090_4k_time": "9-12 minutes for 10 seconds"
}

# Using LTX-Video with Diffusers library
from diffusers import LTXVideoPipeline
import torch
 
# Initialize with memory optimization
pipe = LTXVideoPipeline.from_pretrained(
    "Lightricks/LTX-Video",
    torch_dtype=torch.float16
).to("cuda")
 
# Generate with configurable steps
video = pipe(
    prompt="Aerial view of mountain landscape at sunrise",
    num_inference_steps=8,  # Fast draft mode
    height=704,
    width=1216,
    num_frames=121,  # ~4 seconds at 30fps
    guidance_scale=1.0  # No CFG needed
).frames

# Production pipeline for video extension
from ltx_video import LTXPipeline
 
pipeline = LTXPipeline(model="ltx-2", device="cuda")
 
# Generate initial segment
initial = pipeline.generate(
    prompt="Robot exploring ancient ruins",
    resolution=(1920, 1080),
    duration=5
)
 
# Extend with keyframe guidance
extended = pipeline.extend_video(
    video=initial,
    direction="forward",
    keyframes=[
        {"frame": 150, "prompt": "Robot discovers artifact"},
        {"frame": 300, "prompt": "Artifact activates"}
    ]
)