Update app.py

app.py

@@ -38,15 +38,6 @@ torch.backends.cudnn.benchmark = False
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
-def fake_generate(*args,use_upscaler=False,**kwargs):
-    print(args)
-    print(type(args))
-    args = ",".join(args)
-    print(args)
-    print(type(args))
-
-    return None, None
-
 def load_pipeline(model_name):
     vae = AutoencoderKL.from_pretrained(
         "madebyollin/sdxl-vae-fp16-fix",
@@ -280,6 +271,12 @@ def generate(
         
         utils.free_memory()
 
+def fake_generate(*args,use_upscaler=False,**kwargs):
+    args = ",".join(args)
+
+    result, metadata = generate(prompt=args, use_upscaler=use_upscaler)
+    
+    return result, metadata
 
 if torch.cuda.is_available():
     pipe, img_pipe = load_pipeline(MODEL)
@@ -328,7 +325,7 @@ with gr.Blocks(css="style.css", theme="NoCrypt/miku@1.2.1") as demo:
                     image = gr.Image(
                         sources=["upload", "webcam", "clipboard"],
                         type="filepath",
-                        visible=False,
+                        #visible=False,
                         label="Choose Image",
                     )
                     img2img_strength = gr.Slider(
@@ -337,7 +334,7 @@ with gr.Blocks(css="style.css", theme="NoCrypt/miku@1.2.1") as demo:
                         step=0.05,
                         value=0.65,
                         label="Strength",
-                        visible=False
+                        #visible=False
                     )
                     with gr.Accordion(label="Quality Tags", open=True):
                         add_quality_tags = gr.Checkbox(
@@ -454,13 +451,13 @@ with gr.Blocks(css="style.css", theme="NoCrypt/miku@1.2.1") as demo:
         queue=False,
         api_name=False,
     )
-    isImg2Img.change(
-        fn=lambda x: [gr.update(visible=x), gr.update(visible=x)],
-        inputs=isImg2Img,
-        outputs=[image, img2img_strength],
-        queue=False,
-        api_name=False,
-    )
+    #isImg2Img.change(
+    #    fn=lambda x: [gr.update(visible=x), gr.update(visible=x)],
+    #    inputs=isImg2Img,
+    #    outputs=[image, img2img_strength],
+    #    queue=False,
+    #    api_name=False,
+    #)
     aspect_ratio_selector.change(
         fn=lambda x: gr.update(visible=x == "Custom"),
         inputs=aspect_ratio_selector,