34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
import os
|
|
import time
|
|
|
|
from fastvideo import VideoGenerator
|
|
|
|
def main():
|
|
# set the attention backend
|
|
os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "FLASH_ATTN"
|
|
|
|
start_time = time.perf_counter()
|
|
gen = VideoGenerator.from_pretrained(
|
|
model_path="Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
|
|
num_gpus=1,
|
|
)
|
|
load_time = time.perf_counter() - start_time
|
|
print(f"Model loading time: {load_time:.2f} seconds")
|
|
|
|
gen_start_time = time.perf_counter()
|
|
|
|
gen.generate_video(
|
|
prompt=
|
|
"Will Smith casually eats noodles, his relaxed demeanor contrasting with the energetic background of a bustling street food market. The scene captures a mix of humor and authenticity. Mid-shot framing, vibrant lighting.",
|
|
seed=1024,
|
|
output_path="example_outputs/")
|
|
|
|
generation_time = time.perf_counter() - gen_start_time
|
|
print(f"Video generation time: {generation_time:.2f} seconds")
|
|
|
|
total_time = time.perf_counter() - start_time
|
|
print(f"Total execution time: {total_time:.2f} seconds")
|
|
|
|
if __name__ == "__main__":
|
|
main()
|