69 lines
2.8 KiB
Python
69 lines
2.8 KiB
Python
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)
|