option to unload GFPGAN after using
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2 changed files with 13 additions and 3 deletions
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@ -4,6 +4,7 @@ import traceback
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from modules.paths import script_path
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from modules.shared import cmd_opts
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import modules.shared
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def gfpgan_model_path():
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@ -23,10 +24,18 @@ loaded_gfpgan_model = None
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def gfpgan():
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global loaded_gfpgan_model
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if loaded_gfpgan_model is None and gfpgan_constructor is not None:
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loaded_gfpgan_model = gfpgan_constructor(model_path=gfpgan_model_path(), upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None)
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if loaded_gfpgan_model is not None:
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return loaded_gfpgan_model
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return loaded_gfpgan_model
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if gfpgan_constructor is None:
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return None
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model = gfpgan_constructor(model_path=gfpgan_model_path(), upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None)
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if not cmd_opts.unload_gfpgan:
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loaded_gfpgan_model = model
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return model
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def gfpgan_fix_faces(np_image):
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@ -25,6 +25,7 @@ parser.add_argument("--allow-code", action='store_true', help="allow custom scri
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parser.add_argument("--medvram", action='store_true', help="enable stable diffusion model optimizations for sacrficing a little speed for low VRM usage")
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parser.add_argument("--lowvram", action='store_true', help="enable stable diffusion model optimizations for sacrficing a lot of speed for very low VRM usage")
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parser.add_argument("--always-batch-cond-uncond", action='store_true', help="a workaround test; may help with speed in you use --lowvram")
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parser.add_argument("--unload-gfpgan", action='store_true', help="unload GFPGAN every time after processing images. Warning: seems to cause memory leaks")
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parser.add_argument("--precision", type=str, help="evaluate at this precision", choices=["full", "autocast"], default="autocast")
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parser.add_argument("--share", action='store_true', help="use share=True for gradio and make the UI accessible through their site (doesn't work for me but you might have better luck)")
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cmd_opts = parser.parse_args()
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