fix order

src/backend.py

@@ -240,16 +240,16 @@ def generate_output(s2l1c_input, s2l2a_input, s1rtc_input, dem_input, num_infere
 
     if s2l2a_active and s2l1c_active and s1rtc_active and dem_active:
         gr.Warning("You need to remove some of the inputs that you would like to generate. If all modalities are known, there is nothing to generate.")
-        return s2l2a_input, s2l1c_input, s1rtc_input, dem_input
+        return s2l1c_input, s2l2a_input, s1rtc_input, dem_input
 
     images=[]
     condition_modalities=[]
-    if s2l2a_active:
-        images.append(s2l2a_input)
-        condition_modalities.append('s2_l2a')
     if s2l1c_active:
         images.append(s2l1c_input)
         condition_modalities.append('s2_l1c')
+    if s2l2a_active:
+        images.append(s2l2a_input)
+        condition_modalities.append('s2_l2a')
     if s1rtc_active:
         images.append(s1rtc_input)
         condition_modalities.append('s1_rtc')
@@ -259,7 +259,7 @@ def generate_output(s2l1c_input, s2l2a_input, s1rtc_input, dem_input, num_infere
                                     
     imgs_out = custom_inference(
         images=images,
-        generate_modalities=[el for el in ['s2_l2a', 's2_l1c', 's1_rtc', 'dem'] if el not in condition_modalities],
+        generate_modalities=[el for el in ['s2_l1c', 's2_l2a', 's1_rtc', 'dem'] if el not in condition_modalities],
         condition_modalities=condition_modalities,
         num_inference_steps=num_inference_steps_slider,
         seed=seed