Update app.py

app.py

@@ -1,33 +1,47 @@
-from PIL import Image
-import torch
-import gradio as gr
-# Загрузка моделей с разными вариантами настроек
-model1 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="celeba_distill")
-model2 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v1")
-model3 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v2")
-model4 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="paprika")
-face2paint = torch.hub.load('bryandlee/animegan2-pytorch:main', 'face2paint', 
-                            size=1024, device="cpu", side_by_side=False)
-def inference(img, ver):
-    if ver == 'Celebrity Distill':
-        out = face2paint(model1, img)
-    elif ver == 'Face Paint v1':
-        out = face2paint(model2, img)
-    elif ver == 'Face Paint v2':
-        out = face2paint(model3, img)
-    elif ver == 'Paprika':
-        out = face2paint(model4, img)
+model1_512 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="celeba_distill")
+model2_512 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v1")
+model3_512 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="face_paint_512_v2")
+model4_512 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", pretrained="paprika")
+model1_1024 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", 
+                             pretrained="celeba_distill", 
+                             config="stylegan2_ffhq_config")
+model2_1024 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", 
+                             pretrained="face_paint_1024_v1", 
+                             config="stylegan2_ffhq_config")
+model3_1024 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", 
+                             pretrained="face_paint_1024_v2", 
+                             config="stylegan2_ffhq_config")
+model4_1024 = torch.hub.load("bryandlee/animegan2-pytorch:main", "generator", 
+                             pretrained="paprika_1024", 
+                             config="stylegan2_ffhq_config")
+def inference(img, ver, size):
+    if size == '512':
+        if ver == 'Celebrity Distill':
+            out = face2paint(model1_512, img)
+        elif ver == 'Face Paint v1':
+            out = face2paint(model2_512, img)
+        elif ver == 'Face Paint v2':
+            out = face2paint(model3_512, img)
+        elif ver == 'Paprika':
+            out = face2paint(model4_512, img)
+    elif size == '1024':
+        if ver == 'Celebrity Distill':
+            out = face2paint(model1_1024, img)
+        elif ver == 'Face Paint v1':
+            out = face2paint(model2_1024, img)
+        elif ver == 'Face Paint v2':
+            out = face2paint(model3_1024, img)
+        elif ver == 'Paprika':
+            out = face2paint(model4_1024, img)
     return out
-title = "AnimeGANv2"
-description = "Gradio Demo for AnimeGanv2 Face Portrait. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below. Please use a cropped portrait picture for best results similar to the examples below."
-article = ""
-# Создание интерфейса Gradio с четырьмя вариантами настроек
+# Создание интерфейса Gradio с выбором размера и версии модели
 gr.Interface(inference, 
               [gr.inputs.Image(type="pil"),
-               gr.inputs.Radio(['Celebrity Distill', 'Face Paint v1', 'Face Paint v2', 'Paprika'],
+               gr.inputs.Radio(['512', '1024'], type="value", default='512', label='Size'),
+               gr.inputs.Radio(['Celebrity Distill', 'Face Paint v1', 'Face Paint v2', 'Paprika'], 
                                type="value", 
                                default='Celebrity Distill', 
-                               label='version')],
+                               label='Version')],
               gr.outputs.Image(type="pil"),
               title=title,
               description=description,