46 lines
1.9 KiB
Python
46 lines
1.9 KiB
Python
import os
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import time
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from fastvideo import VideoGenerator, SamplingParam
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OUTPUT_PATH = "video_samples_causal"
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def main():
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# FastVideo will automatically use the optimal default arguments for the
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# model.
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# If a local path is provided, FastVideo will make a best effort
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# attempt to identify the optimal arguments.
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model_name = "wlsaidhi/SFWan2.1-T2V-1.3B-Diffusers"
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generator = VideoGenerator.from_pretrained(
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model_name,
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# FastVideo will automatically handle distributed setup
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num_gpus=4,
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use_fsdp_inference=True,
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text_encoder_cpu_offload=False,
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dit_cpu_offload=False,
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num_frame_per_block=4,
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)
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sampling_param = SamplingParam.from_pretrained(model_name)
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# sampling_param.num_frames = 13
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sampling_param.num_frames = 77
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prompt = (
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"A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
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"wide with interest. The playful yet serene atmosphere is complemented by soft "
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"natural light filtering through the petals. Mid-shot, warm and cheerful tones."
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)
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video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True, sampling_param=sampling_param)
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# return
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import time
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start_time = time.perf_counter()
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for i in range(10):
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prompt = (
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"A curious raccoon peers through a vibrant field of yellow sunflowers, its eyes "
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"wide with interest. The playful yet serene atmosphere is complemented by soft "
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"natural light filtering through the petals. Mid-shot, warm and cheerful tones."
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)
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video = generator.generate_video(prompt, output_path=OUTPUT_PATH, save_video=True, sampling_param=sampling_param)
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end_time = time.perf_counter()
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print(f"Time taken to generate 10 videos: {end_time - start_time} seconds, average time per video: {(end_time - start_time) / 10} seconds")
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if __name__ == "__main__":
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main()
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