| | import os |
| |
|
| | from modules.modelloader import load_file_from_url |
| | from modules.upscaler import Upscaler, UpscalerData |
| | from modules_forge.forge_util import prepare_free_memory |
| | from ldsr_model_arch import LDSR |
| | from modules import shared, script_callbacks, errors |
| | import sd_hijack_autoencoder |
| | import 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 or load_file_from_url(self.model_url, model_dir=self.model_download_path, file_name="model.ckpt") |
| |
|
| | yaml = local_yaml_path or load_file_from_url(self.yaml_url, model_dir=self.model_download_path, file_name="project.yaml") |
| |
|
| | return LDSR(model, yaml) |
| |
|
| | def do_upscale(self, img, path): |
| | prepare_free_memory(aggressive=True) |
| | try: |
| | ldsr = self.load_model(path) |
| | except Exception: |
| | errors.report(f"Failed loading LDSR model {path}", exc_info=True) |
| | 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) |
| |
|
