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hao-ai-lab-FastVideo/examples/inference/basic/basic_dmd.py
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2025-08-04 02:12:55 +00:00

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2.8 KiB
Python

import os
import time
from fastvideo import VideoGenerator
from fastvideo.configs.sample import SamplingParam
OUTPUT_PATH = "video_samples_dmd2"
def main():
os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "VIDEO_SPARSE_ATTN"
load_start_time = time.perf_counter()
model_name = "FastVideo/FastWan2.1-T2V-1.3B-Diffusers"
generator = VideoGenerator.from_pretrained(
model_name,
# FastVideo will automatically handle distributed setup
num_gpus=1,
use_fsdp_inference=True,
# Adjust these offload parameters if you have < 32GB of VRAM
text_encoder_cpu_offload=True,
pin_cpu_memory=False,
dit_cpu_offload=False,
vae_cpu_offload=False,
VSA_sparsity=0.8,
)
load_end_time = time.perf_counter()
load_time = load_end_time - load_start_time
sampling_param = SamplingParam.from_pretrained(model_name)
prompt = (
"A neon-lit alley in futuristic Tokyo during a heavy rainstorm at night. The puddles reflect glowing signs in kanji, advertising ramen, karaoke, and VR arcades. A woman in a translucent raincoat walks briskly with an LED umbrella. Steam rises from a street food cart, and a cat darts across the screen. Raindrops are visible on the camera lens, creating a cinematic bokeh effect."
)
prompt = "A vintage train snakes through the mountains, its plume of white steam rising dramatically against the jagged peaks. The cars glint in the late afternoon sun, their deep crimson and gold accents lending a touch of elegance. The tracks carve a precarious path along the cliffside, revealing glimpses of a roaring river far below. Inside, passengers peer out the large windows, their faces lit with awe as the landscape unfolds."
start_time = time.perf_counter()
video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True, sampling_param=sampling_param)
end_time = time.perf_counter()
gen_time = end_time - start_time
# Generate another video with a different prompt, without reloading the
# model!
prompt2 = (
"A majestic lion strides across the golden savanna, its powerful frame "
"glistening under the warm afternoon sun. The tall grass ripples gently in "
"the breeze, enhancing the lion's commanding presence. The tone is vibrant, "
"embodying the raw energy of the wild. Low angle, steady tracking shot, "
"cinematic.")
start_time = time.perf_counter()
video2 = generator.generate_video(prompt2, output_path=OUTPUT_PATH, save_video=False)
end_time = time.perf_counter()
gen_time2 = end_time - start_time
print(f"Time taken to load model: {load_time} seconds")
print(f"Time taken to generate video: {gen_time} seconds")
print(f"Time taken to generate video2: {gen_time2} seconds")
if __name__ == "__main__":
main()