img

app.py

@@ -243,12 +243,13 @@ def infer(
 
         # Create an animated GIF from all the PIL images
         gif_buffer = io.BytesIO()
-        # duration: adjust duration (ms) between frames as needed
-        pil_images[0].save(gif_buffer, format="GIF", save_all=True, append_images=pil_images[1:], duration=10, loop=0)
-        gif_buffer.seek(0)
-        gif_bytes = gif_buffer.read()
+        # # duration: adjust duration (ms) between frames as needed
+        # pil_images[0].save(gif_buffer, format="GIF", save_all=True, append_images=pil_images[1:], duration=10, loop=0)
+        # gif_buffer.seek(0)
+        # gif_bytes = gif_buffer.read()
 
-        return first_image, last_image, gif_bytes, seed
+        # return first_image, last_image, gif_bytes, seed
+        return first_image, last_image, seed
 
     return pil_image, seed
 
@@ -298,7 +299,7 @@ with gr.Blocks(css=css) as demo:
         # Create separate outputs for the first image, last image, and the animated GIF
         first_image_output = gr.Image(label="Image if the first prompt", show_label=True)
         last_image_output = gr.Image(label="Image if the second prompt", show_label=True)
-        gif_output = gr.Image(label="Linear interpolation", show_label=True)
+        # gif_output = gr.Image(label="Linear interpolation", show_label=True)
 
         with gr.Accordion("Advanced Settings", open=False):
             seed = gr.Slider(
@@ -349,7 +350,8 @@ with gr.Blocks(css=css) as demo:
             num_inference_steps,
             num_of_interpolation,
         ],
-        outputs=[first_image_output, last_image_output, gif_output, seed],
+        # outputs=[first_image_output, last_image_output, gif_output, seed],
+        outputs=[first_image_output, last_image_output, seed],
     )
 
 # with gr.Blocks(css=css) as demo: