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import os
import sys
import traceback
from collections import namedtuple
from basicsr.utils.download_util import load_file_from_url
import modules.images
from modules import shared
from modules.paths import script_path
LDSRModelInfo = namedtuple("LDSRModelInfo", ["name", "location", "model", "netscale"])
ldsr_models = []
have_ldsr = False
LDSR_obj = None
class UpscalerLDSR(modules.images.Upscaler):
def __init__(self, steps):
self.steps = steps
self.name = "LDSR"
def do_upscale(self, img):
return upscale_with_ldsr(img)
def add_lsdr():
modules.shared.sd_upscalers.append(UpscalerLDSR(100))
def setup_ldsr():
path = modules.paths.paths.get("LDSR", None)
if path is None:
return
global have_ldsr
global LDSR_obj
try:
from LDSR import LDSR
model_url = "https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1"
yaml_url = "https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1"
repo_path = 'latent-diffusion/experiments/pretrained_models/'
model_path = load_file_from_url(url=model_url, model_dir=os.path.join("repositories", repo_path),
progress=True, file_name="model.chkpt")
yaml_path = load_file_from_url(url=yaml_url, model_dir=os.path.join("repositories", repo_path),
progress=True, file_name="project.yaml")
have_ldsr = True
LDSR_obj = LDSR(model_path, yaml_path)
except Exception:
print("Error importing LDSR:", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
have_ldsr = False
def upscale_with_ldsr(image):
setup_ldsr()
if not have_ldsr or LDSR_obj is None:
return image
ddim_steps = shared.opts.ldsr_steps
pre_scale = shared.opts.ldsr_pre_down
post_scale = shared.opts.ldsr_post_down
image = LDSR_obj.super_resolution(image, ddim_steps, pre_scale, post_scale)
return image
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