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75 lines
2.1 KiB
Python
75 lines
2.1 KiB
Python
import os
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import sys
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import traceback
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from collections import namedtuple
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from modules import shared, images, modelloader, paths
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from modules.paths import models_path
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model_dir = "LDSR"
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model_path = os.path.join(models_path, model_dir)
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cmd_path = None
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model_url = "https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1"
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yaml_url = "https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1"
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LDSRModelInfo = namedtuple("LDSRModelInfo", ["name", "location", "model", "netscale"])
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ldsr_models = []
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have_ldsr = False
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LDSR_obj = None
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class UpscalerLDSR(images.Upscaler):
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def __init__(self, steps):
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self.steps = steps
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self.name = "LDSR"
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def do_upscale(self, img):
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return upscale_with_ldsr(img)
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def setup_model(dirname):
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global cmd_path
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global model_path
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if not os.path.exists(model_path):
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os.makedirs(model_path)
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cmd_path = dirname
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shared.sd_upscalers.append(UpscalerLDSR(100))
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def prepare_ldsr():
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path = paths.paths.get("LDSR", None)
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if path is None:
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return
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global have_ldsr
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global LDSR_obj
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try:
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from LDSR import LDSR
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model_files = modelloader.load_models(model_path, model_url, cmd_path, dl_name="model.ckpt", ext_filter=[".ckpt"])
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yaml_files = modelloader.load_models(model_path, yaml_url, cmd_path, dl_name="project.yaml", ext_filter=[".yaml"])
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if len(model_files) != 0 and len(yaml_files) != 0:
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model_file = model_files[0]
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yaml_file = yaml_files[0]
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have_ldsr = True
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LDSR_obj = LDSR(model_file, yaml_file)
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else:
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return
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except Exception:
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print("Error importing LDSR:", file=sys.stderr)
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print(traceback.format_exc(), file=sys.stderr)
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have_ldsr = False
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def upscale_with_ldsr(image):
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prepare_ldsr()
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if not have_ldsr or LDSR_obj is None:
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return image
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ddim_steps = shared.opts.ldsr_steps
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pre_scale = shared.opts.ldsr_pre_down
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post_scale = shared.opts.ldsr_post_down
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image = LDSR_obj.super_resolution(image, ddim_steps, pre_scale, post_scale)
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return image
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