Update app.py

app.py

@@ -470,7 +470,7 @@ def get_example():
                 "./assets/examples/id_customization/chenhao/image_1.png",
                 "./assets/examples/id_customization/chenhao/image_2.png",
             ],  # Input image paths
-            "[[faceid]] [[img0]]  A woman with dark hair styled in an intricate updo, wearing a traditional orange and black outfit with elaborate gold embroidery. She has an elegant, poised expression, standing against a serene outdoor setting with classical architecture [[img1]] A young Asian woman with long dark hair and brown eyes smiles at the camera. She wears a red tank top with white flowers and green leaves. The background is blurred, with white and blue tones visible. The image has a slightly grainy quality. [[img2]] A young Asian woman in traditional attire stands against a brown background. She wears a white dress adorned with purple and green floral patterns. Her hair is styled in a bun, and she holds a small white lace umbrella with a gold handle. The image captures her elegant appearance and cultural dress. [[img3]] A woman in traditional Asian attire stands in front of a blurred building. She wears a green robe with floral designs and a black hat with lace. A man in a red robe and black hat stands behind her. The scene appears to be set in an Asian country.",
+            "[[faceid]] [[img0]] detailed face, A woman with dark hair styled in an intricate updo, wearing a traditional orange and black outfit with elaborate gold embroidery. She has an elegant, poised expression, standing against a serene outdoor setting with classical architecture [[img1]] A young Asian woman with long dark hair and brown eyes smiles at the camera. She wears a red tank top with white flowers and green leaves. The background is blurred, with white and blue tones visible. The image has a slightly grainy quality. [[img2]] A young Asian woman in traditional attire stands against a brown background. She wears a white dress adorned with purple and green floral patterns. Her hair is styled in a bun, and she holds a small white lace umbrella with a gold handle. The image captures her elegant appearance and cultural dress. [[img3]] A woman in traditional Asian attire stands in front of a blurred building. She wears a green robe with floral designs and a black hat with lace. A man in a red robe and black hat stands behind her. The scene appears to be set in an Asian country.",
             NEGATIVE_PROMPT,
             50,  # num_steps
             4.0,  # guidance_scale
@@ -512,7 +512,7 @@ def get_example():
             "Semantic to Image",  # Example name - new column
             "assets/examples/semantic_map/dragon_birds_woman.webp",  # Preview column
             ["assets/examples/semantic_map/dragon_birds_woman.webp"],  # Input image path
-            "[[semanticmap2image]] <#00ffff Cyan mask: insert/concept/to/segment/here> A woman in a red dress with gold floral patterns stands in a traditional Japanese-style building. She has black hair and wears a gold choker and earrings. Behind her, a large orange and white dragon coils around the structure. Two white birds fly near her. The building features paper windows and a wooden roof with lanterns. The scene blends traditional Japanese architecture with fantastical elements, creating a mystical atmosphere.",
+            "[[semanticmap2image]] <#00ffff Cyan mask: dragon> <#ff0000 yellow mask: bird> <#800080 purple mask: woman> A woman in a red dress with gold floral patterns stands in a traditional Japanese-style building. She has black hair and wears a gold choker and earrings. Behind her, a large orange and white dragon coils around the structure. Two white birds fly near her. The building features paper windows and a wooden roof with lanterns. The scene blends traditional Japanese architecture with fantastical elements, creating a mystical atmosphere.",
             NEGATIVE_PROMPT,
             50,  # num_steps
             4.0,  # guidance_scale
@@ -795,7 +795,7 @@ if __name__ == "__main__":
         - For FaceID tasks: 
             + Use 3 or 4 images if single input image does not give satisfactory results.
             + All images will be resized and center cropped to the input height and width. You should choose height and width so that faces in input images won't be cropped.
-            + Model works best with close-up portrait (input and output) images.
+            + Model works best with close-up portrait (input and output) images. For example add some keywords such as `detailed face`, `closeup portrait`
             + If the model does not conform your text prompt, try using shorter caption for source image(s).
             + If you have non-human subjects and does not get satisfactory results, try "copying" part of caption of source images where it describes the properties of the subject e.g., a monster with red eyes, sharp teeth, etc.
             
@@ -834,10 +834,6 @@ if __name__ == "__main__":
                     height="auto",
                     object_fit="contain"
                 )
-
-                with gr.Row():
-                    delete_button = gr.Button("Delete Selected Images")
-                    delete_all_button = gr.Button("Delete All Images")
                 
                 task_type = gr.Dropdown(
                     choices=list(TASK2SPECIAL_TOKENS.keys()),
@@ -950,52 +946,6 @@ if __name__ == "__main__":
                 selected_indices.append(evt.index)
             return selected_indices
 
-        # Connect gallery upload
-        gallery.upload(
-            fn=update_gallery_state,
-            inputs=[gallery, images_state],
-            outputs=[images_state, gallery, preview_gallery],
-            show_progress="full"
-        ).then(
-            fn=update_height_width,
-            inputs=[images_state],
-            outputs=[height, width]
-        ).then(
-            fn=update_denoise_checkboxes,
-            inputs=[images_state, task_type, azimuth, elevation, distance],
-            outputs=[denoise_mask_checkbox]
-        )
-
-        # Update delete buttons connections
-        delete_button.click(
-            fn=delete_selected_images,
-            inputs=[selected_indices_state, images_state, gallery],
-            outputs=[images_state, gallery, preview_gallery, selected_indices_state]
-        ).then(
-            fn=update_height_width,
-            inputs=[images_state],
-            outputs=[height, width]
-        ).then(
-            fn=update_denoise_checkboxes,
-            inputs=[images_state, task_type, azimuth, elevation, distance],
-            outputs=[denoise_mask_checkbox]
-        )
-
-        delete_all_button.click(
-            fn=delete_all_images,
-            inputs=[],
-            outputs=[images_state, gallery, preview_gallery, selected_indices_state]
-        ).then(
-            fn=update_denoise_checkboxes,
-            inputs=[images_state, task_type, azimuth, elevation, distance],
-            outputs=[denoise_mask_checkbox]
-        ).then(
-            fn=update_height_width,
-            inputs=[images_state],
-            outputs=[height, width]
-        )
-
-
         task_type.change(
             fn=update_denoise_checkboxes,
             inputs=[images_state, task_type, azimuth, elevation, distance],