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hao-ai-lab-FastVideo/examples/inference/basic/basic_self_forcing_causal.py

33 lines
1.2 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=False, # set to True if GPU is out of memory
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()