Davids048andClaude Opus 5.5
f571621ae7
Every example calls VideoGenerator.generate with a nested request instead of generate_video keywords, and passes settings outside the from_pretrained convenience keywords through VideoGenerator.from_config at their typed paths. Each request and generator config equals what the keyword call built. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
import os
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import time
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from fastvideo import VideoGenerator
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def main():
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# set the attention backend
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os.environ["FASTVIDEO_ATTENTION_BACKEND"] = "FLASH_ATTN"
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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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gen.generate({
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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": {"seed": 1024},
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"output": {"output_path": "example_outputs/"},
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})
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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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