Update __init__.py

__init__.py

@@ -2779,7 +2779,23 @@ class SEQUENCER_OT_generate_image(Operator):
                 pipe.scheduler.config
             )
 
-# LORA TESTS
+            pipe.watermark = NoWatermark()
+
+            if low_vram():
+                # torch.cuda.set_per_process_memory_fraction(0.95)  # 6 GB VRAM
+                pipe.enable_model_cpu_offload()
+                pipe.enable_vae_slicing()
+            else:
+                pipe.to("cuda")
+
+            if scene.use_freeU and pipe:  # Free Lunch
+                # -------- freeu block registration
+                print("Process: FreeU")
+                register_free_upblock2d(pipe, b1=1.1, b2=1.2, s1=0.6, s2=0.4)
+                register_free_crossattn_upblock2d(pipe, b1=1.1, b2=1.2, s1=0.6, s2=0.4)
+                # -------- freeu block registration
+
+        # LoRA SDXL
         if image_model_card == "stabilityai/stable-diffusion-xl-base-1.0":
 
             scene = context.scene
@@ -2787,7 +2803,7 @@ class SEQUENCER_OT_generate_image(Operator):
             enabled_names = []
             enabled_weights = []
 
-                # Check if there are any enabled items before printing
+            # Check if there are any enabled items before loading
             enabled_items = [item for item in lora_files if item.enabled]
             if enabled_items:
                 for item in enabled_items:
@@ -2796,36 +2812,12 @@ class SEQUENCER_OT_generate_image(Operator):
                     pipe.load_lora_weights(scene.lora_folder, weight_name=item.name+".safetensors", adapter_name=((clean_filename(item.name)).replace(".","")))
 
                 pipe.set_adapters(enabled_names, adapter_weights=enabled_weights)
+                print("Load LoRAs: " + ' '.join(enabled_names))
 
-#                for item in lora_files:
-#                    print(f"Name: {item.name}, Enabled: {item.enabled}, Weight: {item.weight_value}")
-
-                #pipe.unet.load_attn_procs("C:/Users/45239/Documents/LORA/filmgrain_v1.safetensors")
-#            pipe.load_lora_weights("C:/Users/45239/Documents/LORA/", weight_name="DavidLynch-10.safetensors")
-#            pipe.fuse_lora(lora_scale=0.7)
-#            pipe.load_lora_weights("C:/Users/45239/Documents/LORA/", weight_name="KlausKinski-06.safetensors")
-#            pipe.fuse_lora(lora_scale=0.7)
-            #pipe.load_lora_weights("C:/Users/45239/Documents/LORA/", weight_name="Willem_Dafoev1.safetensors")
-#            pipe.load_lora_weights("C:/Users/45239/Documents/LORA/", weight_name="SDXL_Inkdrawing_v1.safetensors")
-#                pipe.load_lora_weights("C:/Users/45239/Documents/LORA/", weight_name="WH1.safetensors")
-#            pipe.load_lora_weights("C:/Users/45239/Documents/LORA/", weight_name="AnalogRedmondV2-Analog-AnalogRedmAF.safetensors")
+            #            SD 1.5
+            #            pipe.load_lora_weights("C:/Users/user_name/Documents/LORA/", weight_name="AnalogRedmondV2-Analog-AnalogRedmAF.safetensors")
             #            #pipe.fuse_lora(lora_scale=0.7)
 
-            pipe.watermark = NoWatermark()
-
-            if low_vram():
-                # torch.cuda.set_per_process_memory_fraction(0.95)  # 6 GB VRAM
-                pipe.enable_model_cpu_offload()
-                pipe.enable_vae_slicing()
-            else:
-                pipe.to("cuda")
-
-            if scene.use_freeU and pipe:  # Free Lunch
-                # -------- freeu block registration
-                print("Process: FreeU")
-                register_free_upblock2d(pipe, b1=1.1, b2=1.2, s1=0.6, s2=0.4)
-                register_free_crossattn_upblock2d(pipe, b1=1.1, b2=1.2, s1=0.6, s2=0.4)
-                # -------- freeu block registration
 
         # load refiner model if chosen.
         if do_refine: