clarification for settings; another comment about copied files
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# this file is copied from CodeFormer repository. Please see comment in modules/codeformer_model.py
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import math
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import math
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import numpy as np
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import numpy as np
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import torch
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import torch
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# this file is copied from CodeFormer repository. Please see comment in modules/codeformer_model.py
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'''
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'''
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VQGAN code, adapted from the original created by the Unleashing Transformers authors:
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VQGAN code, adapted from the original created by the Unleashing Transformers authors:
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https://github.com/samb-t/unleashing-transformers/blob/master/models/vqgan.py
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https://github.com/samb-t/unleashing-transformers/blob/master/models/vqgan.py
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@ -121,7 +121,7 @@ class Options:
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"show_progressbar": OptionInfo(True, "Show progressbar"),
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"show_progressbar": OptionInfo(True, "Show progressbar"),
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"show_progress_every_n_steps": OptionInfo(0, "Show show image creation progress every N sampling steps. Set 0 to disable.", gr.Slider, {"minimum": 0, "maximum": 32, "step": 1}),
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"show_progress_every_n_steps": OptionInfo(0, "Show show image creation progress every N sampling steps. Set 0 to disable.", gr.Slider, {"minimum": 0, "maximum": 32, "step": 1}),
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"face_restoration_model": OptionInfo(None, "Face restoration model", gr.Radio, lambda: {"choices": [x.name() for x in face_restorers]}),
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"face_restoration_model": OptionInfo(None, "Face restoration model", gr.Radio, lambda: {"choices": [x.name() for x in face_restorers]}),
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"code_former_weight": OptionInfo(0.5, "CodeFormer weight parameter", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),
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"code_former_weight": OptionInfo(0.5, "CodeFormer weight parameter; 0 = fix face completely; 1 = do nothing", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01}),
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}
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}
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def __init__(self):
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def __init__(self):
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