26 lines
764 B
Python
26 lines
764 B
Python
import os
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import torch
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from fcbh_extras.chainner_models.architecture.RRDB import RRDBNet as ESRGAN
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from fcbh_extras.nodes_upscale_model import ImageUpscaleWithModel
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from collections import OrderedDict
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from modules.config import path_upscale_models
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model_filename = os.path.join(path_upscale_models, 'fooocus_upscaler_s409985e5.bin')
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opImageUpscaleWithModel = ImageUpscaleWithModel()
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model = None
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def perform_upscale(img):
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global model
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if model is None:
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sd = torch.load(model_filename)
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sdo = OrderedDict()
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for k, v in sd.items():
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sdo[k.replace('residual_block_', 'RDB')] = v
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del sd
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model = ESRGAN(sdo)
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model.cpu()
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model.eval()
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return opImageUpscaleWithModel.upscale(model, img)[0]
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