SolitaryThinker
bbbb7ab021
Move all examples/inference and scripts off the legacy
VideoGenerator.from_pretrained(model, **kwargs) +
generate_video(prompt, **kwargs) surface onto the typed
from_config(GeneratorConfig(...)) + generate(GenerationRequest(...))
convention, including the Kandinsky-5 and DreamX-World examples added
on main after the original migration. git-mv api/compat.py to
api/translation.py ('compat' implied a temporary shim; the forward
translation is its honest permanent role) and repoint all importers,
tests, and doc links.
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
import os
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import time
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from fastvideo import VideoGenerator
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from fastvideo.api import (
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EngineConfig, GenerationRequest, GeneratorConfig, OffloadConfig,
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OutputConfig, SamplingConfig,
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)
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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_config(
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GeneratorConfig(
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model_path="Wan-AI/Wan2.1-T2V-1.3B-Diffusers",
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engine=EngineConfig(
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num_gpus=1,
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offload=OffloadConfig(
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dit=False,
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vae=False,
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text_encoder=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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),
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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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GenerationRequest(
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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=SamplingConfig(seed=1024),
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output=OutputConfig(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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