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https://github.com/brycedrennan/imaginAIry
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eb26d5a7c5
fix: file globbing works in the interactive shell feature: make compilation animations simple slide shows
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
import logging
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import click
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logger = logging.getLogger(__name__)
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@click.argument("image_filepaths", nargs=-1)
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@click.option(
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"--outdir",
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default="./outputs/upscaled",
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show_default=True,
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type=click.Path(),
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help="Where to write results to.",
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)
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@click.option("--fix-faces", is_flag=True)
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@click.option(
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"--fix-faces-fidelity",
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default=1,
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type=float,
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help="How faithful to the original should face enhancement be. 1 = best fidelity, 0 = best looking face.",
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)
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@click.command("upscale")
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def upscale_cmd(image_filepaths, outdir, fix_faces, fix_faces_fidelity):
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"""
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Upscale an image 4x using AI.
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"""
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import os.path
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from tqdm import tqdm
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from imaginairy import LazyLoadingImage
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from imaginairy.enhancers.face_restoration_codeformer import enhance_faces
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from imaginairy.enhancers.upscale_realesrgan import upscale_image
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from imaginairy.utils import glob_expand_paths
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os.makedirs(outdir, exist_ok=True)
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image_filepaths = glob_expand_paths(image_filepaths)
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for p in tqdm(image_filepaths):
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savepath = os.path.join(outdir, os.path.basename(p))
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if p.startswith("http"):
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img = LazyLoadingImage(url=p)
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else:
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img = LazyLoadingImage(filepath=p)
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logger.info(
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f"Upscaling {p} from {img.width}x{img.height} to {img.width * 4}x{img.height * 4} and saving it to {savepath}"
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)
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img = upscale_image(img)
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if fix_faces:
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img = enhance_faces(img, fidelity=fix_faces_fidelity)
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img.save(os.path.join(outdir, os.path.basename(p)))
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