Merge branch 'main' of https://huggingface.co/spaces/lichorosario/Qwen-Image-pruning-LoRA-Explorer

.gitignore

@@ -0,0 +1,8 @@
+# Virtual Environments
+venv/
+env/
+.venv/
+
+# Python cache
+__pycache__/
+*.pyc

app.py

@@ -446,8 +446,8 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css, delete_cache=(60, 60)) as app:
                 with gr.Row():
                     aspect_ratio = gr.Radio(
                         label="Aspect Ratio",
-                        choices=["1:1", "16:9", "9:16", "4:3", "3:4", "3:2", "2:3"],
-                        value="1:1"
+                        choices=["1:1", "16:9", "9:16", "4:3", "3:4", "3:2", "2:3", "3:1", "2:1"],
+                        value="16:9"
                     )
                     
                 with gr.Row():
@@ -471,7 +471,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css, delete_cache=(60, 60)) as app:
                 with gr.Row():
                     randomize_seed = gr.Checkbox(True, label="Randomize seed")
                     seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
-                    lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=2, step=0.01, value=1.0)
+                    lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=4, step=0.01, value=1.0)
 
     # Event handlers
     gallery.select(
@@ -504,5 +504,27 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css, delete_cache=(60, 60)) as app:
         outputs=[result, seed]
     )
 
+
+    # Set default selection to "Day of the Tentacle Style"
+    default_index = next(
+        i for i, l in enumerate(loras)
+        if l["repo"] == "lichorosario/qwen-image-dottrmstr"
+    )
+
+    app.load(
+        fn=lambda: (
+            gr.update(value="Speed (8 steps)"),  # speed_mode
+            gr.update(value="3:1"),              # aspect_ratio
+            gr.update(value=default_index),      # selected_index (State)
+            gr.update(selected_index=default_index),  # galería marca tarjeta
+            gr.update(value=2.5)  # escala del lora
+        ),
+        inputs=[],
+        outputs=[speed_mode, aspect_ratio, selected_index, gallery, lora_scale]
+    )
+
+    ###############
+
+
 app.queue()
 app.launch()