remove demo reiszing (#1)

app.py

@@ -27,24 +27,24 @@ def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5
         seed = random.randint(0, MAX_SEED)
         
     input_image = input_image.convert("RGB")
-    original_width, original_height = input_image.size
+    # original_width, original_height = input_image.size
     
-    if original_width >= original_height:
-        new_width = 1024
-        new_height = int(original_height * (new_width / original_width))
-        new_height = round(new_height / 64) * 64
-    else:
-        new_height = 1024
-        new_width = int(original_width * (new_height / original_height))
-        new_width = round(new_width / 64) * 64
+    # if original_width >= original_height:
+    #     new_width = 1024
+    #     new_height = int(original_height * (new_width / original_width))
+    #     new_height = round(new_height / 64) * 64
+    # else:
+    #     new_height = 1024
+    #     new_width = int(original_width * (new_height / original_height))
+    #     new_width = round(new_width / 64) * 64
     
     input_image_resized = input_image.resize((new_width, new_height), Image.LANCZOS)
     image = pipe(
-        image=input_image_resized, 
+        image=input_image, 
         prompt=prompt,
         guidance_scale=guidance_scale,
-        width=new_width,
-        height=new_height,
+        # width=new_width,
+        # height=new_height,
         generator=torch.Generator().manual_seed(seed),
     ).images[0]
     return image, seed, gr.update(visible=True)