Update app.py

app.py

@@ -24,14 +24,14 @@ def predict(prompt, ip_adapter_image, ip_adapter_scale=0.5, negative_prompt="",
         seed = random.randint(0, MAX_SEED)
 
     if not center_crop:
-        ip_adapter_image = ip_adapter_image.resize((224,224))
+        ip_adapter_image = [x.resize((224,224)) for x in ip_adapter_image]
     
     generator = torch.Generator(device="cuda").manual_seed(seed)
     pipe.set_ip_adapter_scale([ip_adapter_scale])
     
     image = pipe(
         prompt=prompt,
-        ip_adapter_image=[ip_adapter_image],
+        ip_adapter_image=ip_adapter_image,
         negative_prompt=negative_prompt,
         height=height,
         width=width,
@@ -68,7 +68,10 @@ with gr.Blocks(css=css) as demo:
                 
         with gr.Row():
             with gr.Column():
-                ip_adapter_image = gr.Image(label="IP-Adapter Image", type="pil")
+                # ip_adapter_image = gr.Image(label="IP-Adapter Image", type="pil")
+                ip_adapter_image = gr.Gallery(
+                    label="IP-Adapter Image/s", show_label=False, elem_id="gallery",
+                    columns=[3], rows=[1], object_fit="contain", height="auto")                
                 ip_adapter_scale = gr.Slider(
                     label="Image Input Scale",
                     info="Use 1 for creating image variations",