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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, sd_hijack_ddpm_v1 | |
| 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") | |
| safetensors_model_path = os.path.join(self.model_path, "model.safetensors") | |
| 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 os.path.exists(safetensors_model_path): | |
| model = safetensors_model_path | |
| else: | |
| model = load_file_from_url(url=self.model_url, model_dir=self.model_path, | |
| file_name="model.ckpt", progress=True) | |
| yaml = load_file_from_url(url=self.yaml_url, model_dir=self.model_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) | |