74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
import sys
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import traceback
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from collections import namedtuple
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import numpy as np
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from PIL import Image
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from realesrgan import RealESRGANer
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import modules.images
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from modules import realesrgan_model_loader
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from modules.shared import cmd_opts, opts
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RealesrganModelInfo = namedtuple("RealesrganModelInfo", ["name", "location", "model", "netscale"])
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realesrgan_models = []
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have_realesrgan = False
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RealESRGANer_constructor = None
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class UpscalerRealESRGAN(modules.images.Upscaler):
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def __init__(self, upscaling, model_index):
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self.upscaling = upscaling
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self.model_index = model_index
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self.name = realesrgan_models[model_index].name
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def do_upscale(self, img):
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return upscale_with_realesrgan(img, self.upscaling, self.model_index)
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def setup_realesrgan():
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global realesrgan_models
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global have_realesrgan
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global RealESRGANer_constructor
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try:
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from basicsr.archs.rrdbnet_arch import RRDBNet
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from realesrgan import RealESRGANer
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from realesrgan.archs.srvgg_arch import SRVGGNetCompact
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realesrgan_models = realesrgan_model_loader.get_realesrgan_models()
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have_realesrgan = True
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RealESRGANer_constructor = RealESRGANer
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for i, model in enumerate(realesrgan_models):
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if model.name in opts.realesrgan_enabled_models:
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modules.shared.sd_upscalers.append(UpscalerRealESRGAN(model.netscale, i))
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except Exception:
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print("Error importing Real-ESRGAN:", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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realesrgan_models = [RealesrganModelInfo('None', '', 0, None)]
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have_realesrgan = False
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def upscale_with_realesrgan(image, RealESRGAN_upscaling, RealESRGAN_model_index):
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if not have_realesrgan:
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return image
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info = realesrgan_models[RealESRGAN_model_index]
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model = info.model()
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upsampler = RealESRGANer(
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scale=info.netscale,
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model_path=info.location,
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model=model,
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half=not cmd_opts.no_half,
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tile=opts.ESRGAN_tile,
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tile_pad=opts.ESRGAN_tile_overlap,
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)
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upsampled = upsampler.enhance(np.array(image), outscale=RealESRGAN_upscaling)[0]
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image = Image.fromarray(upsampled)
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return image
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