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import os | |
import sys | |
import traceback | |
from basicsr.utils.download_util import load_file_from_url | |
from modules.upscaler import Upscaler, UpscalerData | |
from ldsr_model_arch import LDSR | |
from modules import shared, script_callbacks | |
import sd_hijack_autoencoder # noqa: F401 | |
import sd_hijack_ddpm_v1 # noqa: F401 | |
class UpscalerLDSR(Upscaler): | |
def __init__(self, user_path): | |
self.name = "LDSR" | |
self.user_path = user_path | |
self.model_url = "https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1" | |
self.yaml_url = "https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1" | |
super().__init__() | |
scaler_data = UpscalerData("LDSR", None, self) | |
self.scalers = [scaler_data] | |
def load_model(self, path: str): | |
# Remove incorrect project.yaml file if too big | |
yaml_path = os.path.join(self.model_path, "project.yaml") | |
old_model_path = os.path.join(self.model_path, "model.pth") | |
new_model_path = os.path.join(self.model_path, "model.ckpt") | |
local_model_paths = self.find_models(ext_filter=[".ckpt", ".safetensors"]) | |
local_ckpt_path = next(iter([local_model for local_model in local_model_paths if local_model.endswith("model.ckpt")]), None) | |
local_safetensors_path = next(iter([local_model for local_model in local_model_paths if local_model.endswith("model.safetensors")]), None) | |
local_yaml_path = next(iter([local_model for local_model in local_model_paths if local_model.endswith("project.yaml")]), None) | |
if os.path.exists(yaml_path): | |
statinfo = os.stat(yaml_path) | |
if statinfo.st_size >= 10485760: | |
print("Removing invalid LDSR YAML file.") | |
os.remove(yaml_path) | |
if os.path.exists(old_model_path): | |
print("Renaming model from model.pth to model.ckpt") | |
os.rename(old_model_path, new_model_path) | |
if local_safetensors_path is not None and os.path.exists(local_safetensors_path): | |
model = local_safetensors_path | |
else: | |
model = local_ckpt_path if local_ckpt_path is not None else load_file_from_url(url=self.model_url, model_dir=self.model_download_path, file_name="model.ckpt", progress=True) | |
yaml = local_yaml_path if local_yaml_path is not None else load_file_from_url(url=self.yaml_url, model_dir=self.model_download_path, file_name="project.yaml", progress=True) | |
try: | |
return LDSR(model, yaml) | |
except Exception: | |
print("Error importing LDSR:", file=sys.stderr) | |
print(traceback.format_exc(), file=sys.stderr) | |
return None | |
def do_upscale(self, img, path): | |
ldsr = self.load_model(path) | |
if ldsr is None: | |
print("NO LDSR!") | |
return img | |
ddim_steps = shared.opts.ldsr_steps | |
return ldsr.super_resolution(img, ddim_steps, self.scale) | |
def on_ui_settings(): | |
import gradio as gr | |
shared.opts.add_option("ldsr_steps", shared.OptionInfo(100, "LDSR processing steps. Lower = faster", gr.Slider, {"minimum": 1, "maximum": 200, "step": 1}, section=('upscaling', "Upscaling"))) | |
shared.opts.add_option("ldsr_cached", shared.OptionInfo(False, "Cache LDSR model in memory", gr.Checkbox, {"interactive": True}, section=('upscaling', "Upscaling"))) | |
script_callbacks.on_ui_settings(on_ui_settings) | |