70 lines
2.6 KiB
Python
70 lines
2.6 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 modules.shared import cmd_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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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 = [
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RealesrganModelInfo(
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name="Real-ESRGAN 4x plus",
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location="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
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netscale=4, model=lambda: RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=4)
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),
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RealesrganModelInfo(
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name="Real-ESRGAN 4x plus anime 6B",
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location="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
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netscale=4, model=lambda: RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=6, num_grow_ch=32, scale=4)
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),
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RealesrganModelInfo(
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name="Real-ESRGAN 2x plus",
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location="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth",
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netscale=2, model=lambda: RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=2)
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),
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]
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have_realesrgan = True
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RealESRGANer_constructor = RealESRGANer
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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 or RealESRGANer_constructor is None:
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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_constructor(
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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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)
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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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