| 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): |
| |
| 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_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_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) |
|
|
