32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
import os
|
|
import time
|
|
from fastvideo import VideoGenerator, SamplingParam
|
|
|
|
OUTPUT_PATH = "video_samples_causal"
|
|
def main():
|
|
# FastVideo will automatically use the optimal default arguments for the
|
|
# model.
|
|
# If a local path is provided, FastVideo will make a best effort
|
|
# attempt to identify the optimal arguments.
|
|
model_name = "wlsaidhi/SFWan2.1-T2V-1.3B-Diffusers"
|
|
generator = VideoGenerator.from_pretrained(
|
|
model_name,
|
|
# FastVideo will automatically handle distributed setup
|
|
num_gpus=1,
|
|
use_fsdp_inference=True,
|
|
text_encoder_cpu_offload=False,
|
|
dit_cpu_offload=False,
|
|
)
|
|
|
|
sampling_param = SamplingParam.from_pretrained(model_name)
|
|
|
|
prompt = (
|
|
"A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
|
|
"wide with interest. The playful yet serene atmosphere is complemented by soft "
|
|
"natural light filtering through the petals. Mid-shot, warm and cheerful tones."
|
|
)
|
|
video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True, sampling_param=sampling_param)
|
|
|
|
if __name__ == "__main__":
|
|
main()
|