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# Update the sample_solver choices to include 'vanilla'
@@ -1035,7 +1035,7 @@ with gr.Blocks(

            with gr.Row():
                wanx_output_type = gr.Radio(choices=["video", "images", "latent", "both"], label="Output Type", value="video")
-               wanx_sample_solver = gr.Radio(choices=["unipc", "dpm++"], label="Sample Solver", value="unipc")
+               wanx_sample_solver = gr.Radio(choices=["unipc", "dpm++", "vanilla"], label="Sample Solver", value="unipc")
                wanx_attn_mode = gr.Radio(choices=["sdpa", "flash", "sageattn", "xformers", "torch"], label="Attention Mode", value="sdpa")
                wanx_block_swap = gr.Slider(minimum=0, maximum=39, step=1, label="Block Swap to Save VRAM", value=0)
                wanx_fp8 = gr.Checkbox(label="Use FP8", value=True)

# Add exclude_single_blocks checkbox for WanX-i2v
@@ -1035,6 +1035,7 @@ with gr.Blocks(

            with gr.Row():
                wanx_output_type = gr.Radio(choices=["video", "images", "latent", "both"], label="Output Type", value="video")
                wanx_sample_solver = gr.Radio(choices=["unipc", "dpm++", "vanilla"], label="Sample Solver", value="unipc")
+               wanx_exclude_single_blocks = gr.Checkbox(label="Exclude Single Blocks", value=False)
                wanx_attn_mode = gr.Radio(choices=["sdpa", "flash", "sageattn", "xformers", "torch"], label="Attention Mode", value="sdpa")
                wanx_block_swap = gr.Slider(minimum=0, maximum=39, step=1, label="Block Swap to Save VRAM", value=0)
                wanx_fp8 = gr.Checkbox(label="Use FP8", value=True)

# Add LoRA support to WanX-i2v tab
@@ -979,7 +979,27 @@ with gr.Blocks(
                    )
                    wanx_send_to_v2v_btn = gr.Button("Send Selected to Video2Video")

+                    # Add LoRA section for WanX-i2v similar to other tabs
+                    wanx_refresh_btn = gr.Button("πŸ”„", elem_classes="refresh-btn")
+                    wanx_lora_weights = []
+                    wanx_lora_multipliers = []
+                    for i in range(4):
+                        with gr.Column():
+                            wanx_lora_weights.append(gr.Dropdown(
+                                label=f"LoRA {i+1}", 
+                                choices=get_lora_options(), 
+                                value="None", 
+                                allow_custom_value=True,
+                                interactive=True
+                            ))
+                            wanx_lora_multipliers.append(gr.Slider(
+                                label=f"Multiplier", 
+                                minimum=0.0, 
+                                maximum=2.0, 
+                                step=0.05, 
+                                value=1.0
+                            ))
+
            with gr.Row():
                wanx_seed = gr.Number(label="Seed (use -1 for random)", value=-1)
                wanx_task = gr.Dropdown(
@@ -992,6 +1012,7 @@ with gr.Blocks(
                wanx_vae_path = gr.Textbox(label="VAE Path", value="wan/Wan2.1_VAE.pth")
                wanx_t5_path = gr.Textbox(label="T5 Path", value="wan/models_t5_umt5-xxl-enc-bf16.pth")
                wanx_clip_path = gr.Textbox(label="CLIP Path", value="wan/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth")
+               wanx_lora_folder = gr.Textbox(label="LoRA Folder", value="lora")
                wanx_save_path = gr.Textbox(label="Save Path", value="outputs")

# Update WanX-t2v sample solver choices
@@ -1099,7 +1099,7 @@ with gr.Blocks(

            with gr.Row():
                wanx_t2v_output_type = gr.Radio(choices=["video", "images", "latent", "both"], label="Output Type", value="video")
-               wanx_t2v_sample_solver = gr.Radio(choices=["unipc", "dpm++"], label="Sample Solver", value="unipc")
+               wanx_t2v_sample_solver = gr.Radio(choices=["unipc", "dpm++", "vanilla"], label="Sample Solver", value="unipc")
                wanx_t2v_attn_mode = gr.Radio(choices=["sdpa", "flash", "sageattn", "xformers", "torch"], label="Attention Mode", value="sdpa")
                wanx_t2v_block_swap = gr.Slider(minimum=0, maximum=39, step=1, label="Block Swap to Save VRAM", value=0, 
                                         info="Max 39 for 14B model, 29 for 1.3B model")

# Add exclude_single_blocks checkbox for WanX-t2v
@@ -1099,6 +1099,7 @@ with gr.Blocks(

            with gr.Row():
                wanx_t2v_output_type = gr.Radio(choices=["video", "images", "latent", "both"], label="Output Type", value="video")
                wanx_t2v_sample_solver = gr.Radio(choices=["unipc", "dpm++", "vanilla"], label="Sample Solver", value="unipc")
+               wanx_t2v_exclude_single_blocks = gr.Checkbox(label="Exclude Single Blocks", value=False)
                wanx_t2v_attn_mode = gr.Radio(choices=["sdpa", "flash", "sageattn", "xformers", "torch"], label="Attention Mode", value="sdpa")
                wanx_t2v_block_swap = gr.Slider(minimum=0, maximum=39, step=1, label="Block Swap to Save VRAM", value=0, 
                                         info="Max 39 for 14B model, 29 for 1.3B model")

# Add LoRA support to WanX-t2v tab
@@ -1063,7 +1064,27 @@ with gr.Blocks(
                    )
                    wanx_t2v_send_to_v2v_btn = gr.Button("Send Selected to Video2Video")

+                    # Add LoRA section for WanX-t2v
+                    wanx_t2v_refresh_btn = gr.Button("πŸ”„", elem_classes="refresh-btn")
+                    wanx_t2v_lora_weights = []
+                    wanx_t2v_lora_multipliers = []
+                    for i in range(4):
+                        with gr.Column():
+                            wanx_t2v_lora_weights.append(gr.Dropdown(
+                                label=f"LoRA {i+1}", 
+                                choices=get_lora_options(), 
+                                value="None", 
+                                allow_custom_value=True,
+                                interactive=True
+                            ))
+                            wanx_t2v_lora_multipliers.append(gr.Slider(
+                                label=f"Multiplier", 
+                                minimum=0.0, 
+                                maximum=2.0, 
+                                step=0.05, 
+                                value=1.0
+                            ))
+
            with gr.Row():
                wanx_t2v_seed = gr.Number(label="Seed (use -1 for random)", value=-1)
                wanx_t2v_task = gr.Dropdown(
@@ -1077,6 +1098,7 @@ with gr.Blocks(
                wanx_t2v_vae_path = gr.Textbox(label="VAE Path", value="wan/Wan2.1_VAE.pth")
                wanx_t2v_t5_path = gr.Textbox(label="T5 Path", value="wan/models_t5_umt5-xxl-enc-bf16.pth")
                wanx_t2v_clip_path = gr.Textbox(label="CLIP Path", visible=False, value="")
+               wanx_t2v_lora_folder = gr.Textbox(label="LoRA Folder", value="lora")
                wanx_t2v_save_path = gr.Textbox(label="Save Path", value="outputs")

# Update wanx_generate_video function to include LoRA and exclude_single_blocks
@@ -2051,6 +2073,15 @@ def wanx_generate_video(
     save_path,
     output_type,
     sample_solver,
+    exclude_single_blocks,
     attn_mode,
     block_swap,
     fp8,
-    fp8_t5
+    fp8_t5,
+    lora_folder,
+    lora1="None",
+    lora2="None",
+    lora3="None",
+    lora4="None",
+    lora1_multiplier=1.0,
+    lora2_multiplier=1.0,
+    lora3_multiplier=1.0,
+    lora4_multiplier=1.0
 ) -> Generator[Tuple[List[Tuple[str, str]], str, str], None, None]:
     """Generate video with WanX model (supports both i2v and t2v)"""
     global stop_event
@@ -2107,6 +2138,20 @@ def wanx_generate_video(
     
     if fp8_t5:
         command.append("--fp8_t5")
+        
+    if exclude_single_blocks:
+        command.append("--exclude_single_blocks")
+    
+    # Add LoRA weights and multipliers if provided
+    valid_loras = []
+    for weight, mult in zip([lora1, lora2, lora3, lora4], 
+                          [lora1_multiplier, lora2_multiplier, lora3_multiplier, lora4_multiplier]):
+        if weight and weight != "None":
+            valid_loras.append((os.path.join(lora_folder, weight), mult))
+    if valid_loras:
+        weights = [weight for weight, _ in valid_loras]
+        multipliers = [str(mult) for _, mult in valid_loras]
+        command.extend(["--lora_weight"] + weights)
+        command.extend(["--lora_multiplier"] + multipliers)
     
     print(f"Running: {' '.join(command)}")

# Update wanx_generate_video_batch function
@@ -2176,9 +2221,19 @@ def wanx_generate_video_batch(
     save_path,
     output_type,
     sample_solver,
+    exclude_single_blocks,
     attn_mode,
     block_swap,
     fp8,
-    fp8_t5,
+    fp8_t5, 
+    lora_folder,
+    lora1="None",
+    lora2="None",
+    lora3="None",
+    lora4="None",
+    lora1_multiplier=1.0,
+    lora2_multiplier=1.0,
+    lora3_multiplier=1.0,
+    lora4_multiplier=1.0,
     batch_size=1,
     input_image=None  # Make input_image optional and place it at the end
 ) -> Generator[Tuple[List[Tuple[str, str]], str, str], None, None]:
@@ -2201,9 +2256,19 @@ def wanx_generate_video_batch(
             save_path, 
             output_type, 
             sample_solver, 
+            exclude_single_blocks,
             attn_mode, 
             block_swap, 
             fp8,
-            fp8_t5
+            fp8_t5,
+            lora_folder,
+            lora1,
+            lora2,
+            lora3,
+            lora4,
+            lora1_multiplier,
+            lora2_multiplier,
+            lora3_multiplier,
+            lora4_multiplier
         ),
         outputs=[wanx_output, wanx_batch_progress, wanx_progress_text],
         queue=True

# Update WanX-i2v generate button click handler
@@ -2423,6 +2488,15 @@ def wanx_generate_btn.click(
             wanx_save_path,
             wanx_output_type,
             wanx_sample_solver,
+            wanx_exclude_single_blocks,
             wanx_attn_mode,
             wanx_block_swap,
             wanx_fp8,
-            wanx_fp8_t5,
+            wanx_fp8_t5, 
+            wanx_lora_folder,
+            *wanx_lora_weights,
+            *wanx_lora_multipliers,
             wanx_batch_size,
             wanx_input  # Include the image input for this tab
         ],
         outputs=[wanx_output, wanx_batch_progress, wanx_progress_text],
         queue=True
     )
+    
+    # Add refresh button handler for WanX-i2v tab
+    wanx_refresh_outputs = []
+    for i in range(4):
+        wanx_refresh_outputs.extend([wanx_lora_weights[i], wanx_lora_multipliers[i]])
+    
+    wanx_refresh_btn.click(
+        fn=update_lora_dropdowns,
+        inputs=[wanx_lora_folder] + wanx_lora_weights + wanx_lora_multipliers,
+        outputs=wanx_refresh_outputs
+    )

# Update WanX-t2v generate button click handler
@@ -2470,9 +2544,19 @@ def wanx_t2v_generate_btn.click(
             wanx_t2v_save_path,
             wanx_t2v_output_type,
             wanx_t2v_sample_solver,
+            wanx_t2v_exclude_single_blocks,
             wanx_t2v_attn_mode,
             wanx_t2v_block_swap,
             wanx_t2v_fp8,
-            wanx_t2v_fp8_t5,
+            wanx_t2v_fp8_t5, 
+            wanx_t2v_lora_folder,
+            *wanx_t2v_lora_weights,
+            *wanx_t2v_lora_multipliers,
             wanx_t2v_batch_size,
             # input_image is now optional and not included here
         ],
         outputs=[wanx_t2v_output, wanx_t2v_batch_progress, wanx_t2v_progress_text],
         queue=True
     )
+    
+    # Add refresh button handler for WanX-t2v tab
+    wanx_t2v_refresh_outputs = []
+    for i in range(4):
+        wanx_t2v_refresh_outputs.extend([wanx_t2v_lora_weights[i], wanx_t2v_lora_multipliers[i]])
+    
+    wanx_t2v_refresh_btn.click(
+        fn=update_lora_dropdowns,
+        inputs=[wanx_t2v_lora_folder] + wanx_t2v_lora_weights + wanx_t2v_lora_multipliers,
+        outputs=wanx_t2v_refresh_outputs
+    )