Cleanup existing directories, fixes

.gitignore

@@ -4,6 +4,7 @@ __pycache__
 /venv
 /tmp
 /model.ckpt
+/models/**/*
 /models/*.ckpt
 /GFPGANv1.3.pth
 /gfpgan/weights/*.pth

modules/codeformer_model.py

@@ -5,14 +5,13 @@
 import cv2
 import torch
 
+import modules.face_restoration
+import modules.shared
 from modules import shared, devices, modelloader
 from modules.paths import script_path, models_path
-import modules.shared
-import modules.face_restoration
-from importlib import reload
 
-# codeformer people made a choice to include modified basicsr library to their project, which makes
-# it utterly impossible to use it alongside other libraries that also use basicsr, like GFPGAN.
+# codeformer people made a choice to include modified basicsr library to their project which makes
+# it utterly impossible to use it alongside with other libraries that also use basicsr, like GFPGAN.
 # I am making a choice to include some files from codeformer to work around this issue.
 model_dir = "Codeformer"
 model_path = os.path.join(models_path, model_dir)
@@ -31,11 +30,6 @@ def setup_model(dirname):
     if path is None:
         return
 
-
-    # both GFPGAN and CodeFormer use bascisr, one has it installed from pip the other uses its own
-    #stored_sys_path = sys.path
-    #sys.path = [path] + sys.path
-
     try:
         from torchvision.transforms.functional import normalize
         from modules.codeformer.codeformer_arch import CodeFormer
@@ -67,7 +61,6 @@ def create_models(self):
                     print("Unable to load codeformer model.")
                     return None, None
                 net = net_class(dim_embd=512, codebook_size=1024, n_head=8, n_layers=9, connect_list=['32', '64', '128', '256']).to(devices.device_codeformer)
-                ckpt_path = load_file_from_url(url=pretrain_model_url, model_dir=os.path.join(path, 'weights/CodeFormer'), progress=True)
                 checkpoint = torch.load(ckpt_path)['params_ema']
                 net.load_state_dict(checkpoint)
                 net.eval()

modules/esrgan_model.py

@@ -18,7 +18,7 @@
 model_dir = "ESRGAN"
 model_path = os.path.join(models_path, model_dir)
 model_url = "https://drive.google.com/u/0/uc?id=1TPrz5QKd8DHHt1k8SRtm6tMiPjz_Qene&export=download"
-model_name = "ESRGAN_x4.pth"
+model_name = "ESRGAN_x4"
 
 
 def load_model(path: str, name: str):
@@ -27,7 +27,7 @@ def load_model(path: str, name: str):
     global model_dir
     global model_name
     if "http" in path:
-        filename = load_file_from_url(url=model_url, model_dir=model_path, file_name=model_name, progress=True)
+        filename = load_file_from_url(url=model_url, model_dir=model_path, file_name="%s.pth" % model_name, progress=True)
     else:
         filename = path
     if not os.path.exists(filename) or filename is None:

modules/ldsr_model.py

@@ -19,7 +19,7 @@
 LDSR_obj = None
 
 
-class UpscalerLDSR(modules.images.Upscaler):
+class UpscalerLDSR(images.Upscaler):
     def __init__(self, steps):
         self.steps = steps
         self.name = "LDSR"

modules/modelloader.py

@@ -1,8 +1,11 @@
 import os
+import shutil
 from urllib.parse import urlparse
 
 from basicsr.utils.download_util import load_file_from_url
 
+from modules.paths import script_path, models_path
+
 
 def load_models(model_path: str, model_url: str = None, command_path: str = None, dl_name: str = None, existing=None,
                 ext_filter=None) -> list:
@@ -63,3 +66,38 @@ def friendly_name(file: str):
     model_name, extension = os.path.splitext(file)
     model_name = model_name.replace("_", " ").title()
     return model_name
+
+
+def cleanup_models():
+    root_path = script_path
+    src_path = os.path.join(root_path, "ESRGAN")
+    dest_path = os.path.join(models_path, "ESRGAN")
+    move_files(src_path, dest_path)
+    src_path = os.path.join(root_path, "gfpgan")
+    dest_path = os.path.join(models_path, "GFPGAN")
+    move_files(src_path, dest_path)
+    src_path = os.path.join(root_path, "SwinIR")
+    dest_path = os.path.join(models_path, "SwinIR")
+    move_files(src_path, dest_path)
+    src_path = os.path.join(root_path, "repositories/latent-diffusion/experiments/pretrained_models/")
+    dest_path = os.path.join(models_path, "LDSR")
+    move_files(src_path, dest_path)
+
+
+def move_files(src_path: str, dest_path: str):
+    try:
+        if not os.path.exists(dest_path):
+            os.makedirs(dest_path)
+        if os.path.exists(src_path):
+            for file in os.listdir(src_path):
+                if os.path.isfile(file):
+                    fullpath = os.path.join(src_path, file)
+                    print("Moving file: %s to %s" % (fullpath, dest_path))
+                    try:
+                        shutil.move(fullpath, dest_path)
+                    except:
+                        pass
+            print("Removing folder: %s" % src_path)
+            shutil.rmtree(src_path, True)
+    except:
+        pass

webui.py

@@ -18,9 +18,11 @@
 import modules.swinir_model as swinir
 import modules.txt2img
 import modules.ui
+from modules import modelloader
 from modules.paths import script_path
 from modules.shared import cmd_opts
 
+modelloader.cleanup_models()
 codeformer.setup_model(cmd_opts.codeformer_models_path)
 gfpgan.setup_model(cmd_opts.gfpgan_models_path)
 shared.face_restorers.append(modules.face_restoration.FaceRestoration())