Files
hao-ai-lab-FastVideo/examples/inference/basic/basic_ltx2.py
T

62 lines
1.9 KiB
Python

import os
from fastvideo import VideoGenerator
PROMPT = (
"A warm sunny backyard. The camera starts in a tight cinematic close-up "
"of a woman and a man in their 30s, facing each other with serious "
"expressions. The woman, emotional and dramatic, says softly, \"That's "
"it... Dad's lost it. And we've lost Dad.\" The man exhales, slightly "
"annoyed: \"Stop being so dramatic, Jess.\" A beat. He glances aside, "
"then mutters defensively, \"He's just having fun.\" The camera slowly "
"pans right, revealing the grandfather in the garden wearing enormous "
"butterfly wings, waving his arms in the air like he's trying to take "
"off. He shouts, \"Wheeeew!\" as he flaps his wings with full commitment. "
"The woman covers her face, on the verge of tears. The tone is deadpan, "
"absurd, and quietly tragic."
)
NUM_FRAMES = 121
FPS = 24
HEIGHT = 512
WIDTH = 768
SEED = 10
def main() -> None:
diffusers_path = os.getenv("LTX2_DIFFUSERS_PATH",
"converted/ltx2_diffusers")
generator = VideoGenerator.from_pretrained(
diffusers_path,
num_gpus=1,
use_fsdp_inference=True,
dit_cpu_offload=True,
vae_cpu_offload=True,
text_encoder_cpu_offload=True,
pin_cpu_memory=False,
ltx2_vae_tiling=True,
ltx2_vae_spatial_tile_size_in_pixels=512,
ltx2_vae_spatial_tile_overlap_in_pixels=64,
ltx2_vae_temporal_tile_size_in_frames=64,
ltx2_vae_temporal_tile_overlap_in_frames=24,
)
output_path = "outputs_video/ltx2_basic/backyard_drama.mp4"
generator.generate_video(
prompt=PROMPT,
# No negative_prompt for distilled model (guidance_scale=1.0 by default)
output_path=output_path,
save_video=True,
height=HEIGHT,
width=WIDTH,
num_frames=NUM_FRAMES,
fps=FPS,
seed=SEED,
)
generator.shutdown()
if __name__ == "__main__":
main()