mirror of
https://github.com/brycedrennan/imaginAIry
synced 2024-10-31 03:20:40 +00:00
97 lines
2.4 KiB
Python
97 lines
2.4 KiB
Python
"""Command for generating AI-powered videos"""
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import logging
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import click
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logger = logging.getLogger(__name__)
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@click.command()
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@click.option(
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"--start-image",
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default="other/images/sound-music.jpg",
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help="Input path for image file.",
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)
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@click.option("--num-frames", default=None, type=int, help="Number of frames.")
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@click.option(
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"-s", "--steps", default=None, type=int, help="Number of diffusion steps."
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)
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@click.option(
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"--model",
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default="svd",
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help="Model to use. One of: svd, svd_xt, svd_image_decoder, svd_xt_image_decoder",
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)
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@click.option(
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"--fps", default=6, type=int, help="FPS for the AI to target when generating video"
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)
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@click.option("--output-fps", default=None, type=int, help="FPS for the output video")
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@click.option(
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"--motion-amount",
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default=127,
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type=int,
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help="How much motion to generate. value between 0 and 255.",
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)
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@click.option(
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"-r",
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"--repeats",
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default=1,
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show_default=True,
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type=int,
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help="How many times to repeat the renders. ",
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)
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@click.option("--cond-aug", default=0.02, type=float, help="Conditional augmentation.")
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@click.option(
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"--seed", default=None, type=int, help="Seed for random number generator."
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)
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@click.option(
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"--decoding_t", default=1, type=int, help="Number of frames decoded at a time."
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)
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@click.option("--output_folder", default=None, help="Output folder.")
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def videogen_cmd(
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start_image,
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num_frames,
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steps,
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model,
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fps,
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output_fps,
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motion_amount,
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repeats,
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cond_aug,
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seed,
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decoding_t,
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output_folder,
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):
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"""
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AI generate a video from an image
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Example:
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aimg videogen --start-image assets/rocket-wide.png
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"""
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from imaginairy.utils.log_utils import configure_logging
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from imaginairy.video_sample import generate_video
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configure_logging()
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output_fps = output_fps or fps
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try:
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generate_video(
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input_path=start_image,
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num_frames=num_frames,
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num_steps=steps,
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model_name=model,
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fps_id=fps,
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output_fps=output_fps,
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motion_bucket_id=motion_amount,
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cond_aug=cond_aug,
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seed=seed,
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decoding_t=decoding_t,
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output_folder=output_folder,
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repetitions=repeats,
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)
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except FileNotFoundError as e:
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logger.error(str(e))
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exit(1)
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