48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
import time
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from fastvideo import VideoGenerator, SamplingParam
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def main():
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start_time = time.perf_counter()
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gen = VideoGenerator.from_pretrained(
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model_path="Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
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num_gpus=1,
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dit_cpu_offload=False,
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vae_cpu_offload=False,
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text_encoder_cpu_offload=True,
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pin_cpu_memory=True, # set to false if low CPU RAM or hit obscure "CUDA error: Invalid argument"
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)
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load_time = time.perf_counter() - start_time
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print(f"Model loading time: {load_time:.2f} seconds")
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gen_start_time = time.perf_counter()
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params = SamplingParam.from_pretrained(
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model_path="Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
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)
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# this controls the threshold for the tea cache
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params.teacache_params.teacache_thresh = 0.08
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gen.generate_video(
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prompt=
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"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.",
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sampling_param=params,
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height=480,
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width=832,
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num_frames=61, # 85 ,77
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num_inference_steps=50,
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enable_teacache=True,
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seed=1024,
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output_path="example_outputs/")
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generation_time = time.perf_counter() - gen_start_time
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print(f"Video generation time: {generation_time:.2f} seconds")
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total_time = time.perf_counter() - start_time
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print(f"Total execution time: {total_time:.2f} seconds")
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if __name__ == "__main__":
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main()
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