Update face_enhancer.py

face_enhancer.py

@@ -15,6 +15,18 @@ def realesrgan_runner(img, model):
     img = model.predict(img)
     return img
 
+    def realhatgan_runner(img, model):
+    img = model.predict(img)
+    return img
+        
+def restoreformer_runner(img, model):
+    img = model.predict(img)
+    return img
+
+
+    def ultrasharp_runner(img, model):
+    img = model.predict(img)
+    return img
 
 def codeformer_runner(img, model):
     img = model.enhance(img)
@@ -24,6 +36,9 @@ def codeformer_runner(img, model):
 supported_enhancers = {
     "CodeFormer": ("./assets/pretrained_models/codeformer.onnx", codeformer_runner),
     "GFPGAN": ("./assets/pretrained_models/GFPGANv1.4.pth", gfpgan_runner),
+    "Real_Hatgan x4": ("./assets/pretrained_models/real_hatgan_x4.onnx", realhatgan_runner),
+    "Ultra_Sharp x4": ("./assets/pretrained_models/ultra_sharp_x4.onnx", ultrasharp_runner),
+    "RestoreFormer": ("./assets/pretrained_models/restoreformer_plus_plus.onnx", restoreformer_runner),"
     "REAL-ESRGAN 2x": ("./assets/pretrained_models/RealESRGAN_x2.pth", realesrgan_runner),
     "REAL-ESRGAN 4x": ("./assets/pretrained_models/RealESRGAN_x4.pth", realesrgan_runner),
     "REAL-ESRGAN 8x": ("./assets/pretrained_models/RealESRGAN_x8.pth", realesrgan_runner)
@@ -49,12 +64,23 @@ def load_face_enhancer_model(name='GFPGAN', device="cpu"):
         model = CodeFormerEnhancer(model_path=model_path, device=device)
     elif name == 'GFPGAN':
         model = gfpgan.GFPGANer(model_path=model_path, upscale=1, device=device)
-    elif name == 'REAL-ESRGAN 2x':
-        model = RealESRGAN(device, scale=2)
+        elif name ='RestoreFormer':
+        model = RestoreFormer(device, scale=1)
         model.load_weights(model_path, download=False)
     elif name == 'REAL-ESRGAN 4x':
         model = RealESRGAN(device, scale=4)
         model.load_weights(model_path, download=False)
+    elif name == 'REAL-ESRGAN 2x':
+        model = RealESRGAN(device, scale=2)
+        model.load_weights(model_path, download=False)
+    elif name == 'Real_Hatgan x4':
+        model = RealHatGAN(device, scale=4)
+    elif name == 'Ultra_Sharp x4':
+        model = UltraShap(device, scale=4)
+        model.load_weights(model_path, download=False)
+    elif name == 'REAL-ESRGAN 4x':
+        model = RealHatGAN(device, scale=4)
+        model.load_weights(model_path, download=False)    
     elif name == 'REAL-ESRGAN 8x':
         model = RealESRGAN(device, scale=8)
         model.load_weights(model_path, download=False)