diff --git a/custom_cogvideox_transformer_3d.py b/custom_cogvideox_transformer_3d.py
index 89c72aa..f3d0d94 100644
--- a/custom_cogvideox_transformer_3d.py
+++ b/custom_cogvideox_transformer_3d.py
@@ -610,29 +610,29 @@ class CogVideoXTransformer3DModel(ModelMixin, ConfigMixin, PeftAdapterMixin):
         if self.fastercache_counter >= self.fastercache_start_step + 3 and self.fastercache_counter % 5 !=0:
             # 3. Transformer blocks
             for i, block in enumerate(self.transformer_blocks):
-                    hidden_states, encoder_hidden_states = block(
-                        hidden_states=hidden_states[:1],
-                        encoder_hidden_states=encoder_hidden_states[:1],
-                        temb=emb[:1],
-                        image_rotary_emb=image_rotary_emb,
-                        video_flow_feature=video_flow_features[i][:1] if video_flow_features is not None else None,
-                        fuser = self.fuser_list[i] if self.fuser_list is not None else None,
-                        block_use_fastercache = i <= self.fastercache_num_blocks_to_cache,
-                        fastercache_counter = self.fastercache_counter,
-                        fastercache_start_step = self.fastercache_start_step,
-                        fastercache_device = self.fastercache_device,
-                        attention_mode = self.attention_mode
-                    )
+                hidden_states, encoder_hidden_states = block(
+                    hidden_states=hidden_states[:1],
+                    encoder_hidden_states=encoder_hidden_states[:1],
+                    temb=emb[:1],
+                    image_rotary_emb=image_rotary_emb,
+                    video_flow_feature=video_flow_features[i][:1] if video_flow_features is not None else None,
+                    fuser = self.fuser_list[i] if self.fuser_list is not None else None,
+                    block_use_fastercache = i <= self.fastercache_num_blocks_to_cache,
+                    fastercache_counter = self.fastercache_counter,
+                    fastercache_start_step = self.fastercache_start_step,
+                    fastercache_device = self.fastercache_device,
+                    attention_mode = self.attention_mode
+                )
 
-                    if (controlnet_states is not None) and (i < len(controlnet_states)):
-                        controlnet_states_block = controlnet_states[i]
-                        controlnet_block_weight = 1.0
-                        if isinstance(controlnet_weights, (list, np.ndarray)) or torch.is_tensor(controlnet_weights):
-                            controlnet_block_weight = controlnet_weights[i]
-                        elif isinstance(controlnet_weights, (float, int)):
-                            controlnet_block_weight = controlnet_weights
-                        
-                        hidden_states = hidden_states + controlnet_states_block * controlnet_block_weight
+                if (controlnet_states is not None) and (i < len(controlnet_states)):
+                    controlnet_states_block = controlnet_states[i]
+                    controlnet_block_weight = 1.0
+                    if isinstance(controlnet_weights, (list, np.ndarray)) or torch.is_tensor(controlnet_weights):
+                        controlnet_block_weight = controlnet_weights[i]
+                    elif isinstance(controlnet_weights, (float, int)):
+                        controlnet_block_weight = controlnet_weights
+                    
+                    hidden_states = hidden_states + controlnet_states_block * controlnet_block_weight
                     
             if not self.config.use_rotary_positional_embeddings:
                 # CogVideoX-2B
@@ -698,15 +698,16 @@ class CogVideoXTransformer3DModel(ModelMixin, ConfigMixin, PeftAdapterMixin):
                 #if has_nan:
                 #    raise ValueError(f"block output hidden_states has nan: {has_nan}")
 
-            if (controlnet_states is not None) and (i < len(controlnet_states)):
-                controlnet_states_block = controlnet_states[i]
-                controlnet_block_weight = 1.0
-                if isinstance(controlnet_weights, (list, np.ndarray)) or torch.is_tensor(controlnet_weights):
-                    controlnet_block_weight = controlnet_weights[i]
-                elif isinstance(controlnet_weights, (float, int)):
-                    controlnet_block_weight = controlnet_weights
-                
-                hidden_states = hidden_states + controlnet_states_block * controlnet_block_weight
+                #controlnet
+                if (controlnet_states is not None) and (i < len(controlnet_states)):
+                    controlnet_states_block = controlnet_states[i]
+                    controlnet_block_weight = 1.0
+                    if isinstance(controlnet_weights, (list, np.ndarray)) or torch.is_tensor(controlnet_weights):
+                        controlnet_block_weight = controlnet_weights[i]
+                        print(controlnet_block_weight)
+                    elif isinstance(controlnet_weights, (float, int)):
+                        controlnet_block_weight = controlnet_weights                    
+                    hidden_states = hidden_states + controlnet_states_block * controlnet_block_weight
                     
             if not self.config.use_rotary_positional_embeddings:
                 # CogVideoX-2B
diff --git a/examples/cogvideo_2b_context_schedule_test_01.json b/examples/cogvideo_2b_context_schedule_test_01.json
deleted file mode 100644
index ed7b6fa..0000000
--- a/examples/cogvideo_2b_context_schedule_test_01.json
+++ /dev/null
@@ -1,561 +0,0 @@
-{
-  "last_node_id": 34,
-  "last_link_id": 61,
-  "nodes": [
-    {
-      "id": 33,
-      "type": "GetImageSizeAndCount",
-      "pos": {
-        "0": 1176,
-        "1": 122
-      },
-      "size": {
-        "0": 210,
-        "1": 86
-      },
-      "flags": {},
-      "order": 7,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "image",
-          "type": "IMAGE",
-          "link": 59
-        }
-      ],
-      "outputs": [
-        {
-          "name": "image",
-          "type": "IMAGE",
-          "links": [
-            60
-          ],
-          "slot_index": 0,
-          "shape": 3
-        },
-        {
-          "name": "720 width",
-          "type": "INT",
-          "links": null,
-          "shape": 3
-        },
-        {
-          "name": "480 height",
-          "type": "INT",
-          "links": null,
-          "shape": 3
-        },
-        {
-          "name": "104 count",
-          "type": "INT",
-          "links": null,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "GetImageSizeAndCount"
-      },
-      "widgets_values": []
-    },
-    {
-      "id": 30,
-      "type": "CogVideoTextEncode",
-      "pos": {
-        "0": 500,
-        "1": 308
-      },
-      "size": [
-        474.8035864085422,
-        211.10369504535595
-      ],
-      "flags": {},
-      "order": 3,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "clip",
-          "type": "CLIP",
-          "link": 54
-        }
-      ],
-      "outputs": [
-        {
-          "name": "conditioning",
-          "type": "CONDITIONING",
-          "links": [
-            55
-          ],
-          "slot_index": 0,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CogVideoTextEncode"
-      },
-      "widgets_values": [
-        "A panda, dressed in a small, red jacket and a tiny hat, sits on a wooden stool in a serene bamboo forest. The panda's fluffy paws strum a miniature\nacoustic guitar, producing soft, melodic tunes. Nearby, a few other pandas gather, watching curiously and some clapping in rhythm. Sunlight filters\nthrough the tall bamboo, casting a gentle glow on the scene. The panda's face is expressive, showing concentration and joy as it plays. The\nbackground includes a small, flowing stream and vibrant green foliage, enhancing the peaceful and magical atmosphere of this unique musical\nperformance.",
-        1,
-        true
-      ]
-    },
-    {
-      "id": 31,
-      "type": "CogVideoTextEncode",
-      "pos": {
-        "0": 508,
-        "1": 576
-      },
-      "size": {
-        "0": 463.01251220703125,
-        "1": 124
-      },
-      "flags": {},
-      "order": 4,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "clip",
-          "type": "CLIP",
-          "link": 56
-        }
-      ],
-      "outputs": [
-        {
-          "name": "conditioning",
-          "type": "CONDITIONING",
-          "links": [
-            57
-          ],
-          "slot_index": 0,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CogVideoTextEncode"
-      },
-      "widgets_values": [
-        "",
-        1,
-        true
-      ]
-    },
-    {
-      "id": 20,
-      "type": "CLIPLoader",
-      "pos": {
-        "0": -37,
-        "1": 443
-      },
-      "size": {
-        "0": 451.30548095703125,
-        "1": 82
-      },
-      "flags": {},
-      "order": 0,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [
-            54,
-            56
-          ],
-          "slot_index": 0,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CLIPLoader"
-      },
-      "widgets_values": [
-        "t5\\google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors",
-        "sd3"
-      ]
-    },
-    {
-      "id": 11,
-      "type": "CogVideoDecode",
-      "pos": {
-        "0": 1045,
-        "1": 776
-      },
-      "size": {
-        "0": 295.70111083984375,
-        "1": 198
-      },
-      "flags": {},
-      "order": 6,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "pipeline",
-          "type": "COGVIDEOPIPE",
-          "link": 37
-        },
-        {
-          "name": "samples",
-          "type": "LATENT",
-          "link": 38
-        }
-      ],
-      "outputs": [
-        {
-          "name": "images",
-          "type": "IMAGE",
-          "links": [
-            59
-          ],
-          "slot_index": 0,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CogVideoDecode"
-      },
-      "widgets_values": [
-        true,
-        96,
-        96,
-        0.083,
-        0.083,
-        true
-      ]
-    },
-    {
-      "id": 1,
-      "type": "DownloadAndLoadCogVideoModel",
-      "pos": {
-        "0": 652,
-        "1": 43
-      },
-      "size": {
-        "0": 315,
-        "1": 194
-      },
-      "flags": {},
-      "order": 1,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "pab_config",
-          "type": "PAB_CONFIG",
-          "link": null
-        },
-        {
-          "name": "block_edit",
-          "type": "TRANSFORMERBLOCKS",
-          "link": null
-        },
-        {
-          "name": "lora",
-          "type": "COGLORA",
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "name": "cogvideo_pipe",
-          "type": "COGVIDEOPIPE",
-          "links": [
-            36
-          ],
-          "slot_index": 0,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "DownloadAndLoadCogVideoModel"
-      },
-      "widgets_values": [
-        "THUDM/CogVideoX-2b",
-        "fp16",
-        "enabled",
-        "disabled",
-        false
-      ]
-    },
-    {
-      "id": 32,
-      "type": "VHS_VideoCombine",
-      "pos": {
-        "0": 1439,
-        "1": 122
-      },
-      "size": [
-        563.3333740234375,
-        686.2222493489583
-      ],
-      "flags": {},
-      "order": 8,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "images",
-          "type": "IMAGE",
-          "link": 60,
-          "slot_index": 0
-        },
-        {
-          "name": "audio",
-          "type": "VHS_AUDIO",
-          "link": null
-        },
-        {
-          "name": "meta_batch",
-          "type": "VHS_BatchManager",
-          "link": null
-        },
-        {
-          "name": "vae",
-          "type": "VAE",
-          "link": null
-        }
-      ],
-      "outputs": [
-        {
-          "name": "Filenames",
-          "type": "VHS_FILENAMES",
-          "links": null,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "VHS_VideoCombine"
-      },
-      "widgets_values": {
-        "frame_rate": 8,
-        "loop_count": 0,
-        "filename_prefix": "CogVideo2B_long",
-        "format": "video/h264-mp4",
-        "pix_fmt": "yuv420p",
-        "crf": 19,
-        "save_metadata": true,
-        "pingpong": false,
-        "save_output": false,
-        "videopreview": {
-          "hidden": false,
-          "paused": false,
-          "params": {
-            "filename": "CogVideo2B_long_00005.mp4",
-            "subfolder": "",
-            "type": "temp",
-            "format": "video/h264-mp4",
-            "frame_rate": 8
-          }
-        }
-      }
-    },
-    {
-      "id": 34,
-      "type": "CogVideoContextOptions",
-      "pos": {
-        "0": 1053,
-        "1": -84
-      },
-      "size": {
-        "0": 315,
-        "1": 154
-      },
-      "flags": {},
-      "order": 2,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "context_options",
-          "type": "COGCONTEXT",
-          "links": [
-            61
-          ],
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CogVideoContextOptions"
-      },
-      "widgets_values": [
-        "uniform_standard",
-        52,
-        4,
-        8,
-        true
-      ]
-    },
-    {
-      "id": 22,
-      "type": "CogVideoSampler",
-      "pos": {
-        "0": 1041,
-        "1": 342
-      },
-      "size": {
-        "0": 315,
-        "1": 382
-      },
-      "flags": {},
-      "order": 5,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "pipeline",
-          "type": "COGVIDEOPIPE",
-          "link": 36
-        },
-        {
-          "name": "positive",
-          "type": "CONDITIONING",
-          "link": 55,
-          "slot_index": 1
-        },
-        {
-          "name": "negative",
-          "type": "CONDITIONING",
-          "link": 57
-        },
-        {
-          "name": "samples",
-          "type": "LATENT",
-          "link": null
-        },
-        {
-          "name": "image_cond_latents",
-          "type": "LATENT",
-          "link": null
-        },
-        {
-          "name": "context_options",
-          "type": "COGCONTEXT",
-          "link": 61
-        }
-      ],
-      "outputs": [
-        {
-          "name": "cogvideo_pipe",
-          "type": "COGVIDEOPIPE",
-          "links": [
-            37
-          ],
-          "shape": 3
-        },
-        {
-          "name": "samples",
-          "type": "LATENT",
-          "links": [
-            38
-          ],
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CogVideoSampler"
-      },
-      "widgets_values": [
-        480,
-        720,
-        104,
-        32,
-        6,
-        42,
-        "fixed",
-        "CogVideoXDDIM",
-        1
-      ]
-    }
-  ],
-  "links": [
-    [
-      36,
-      1,
-      0,
-      22,
-      0,
-      "COGVIDEOPIPE"
-    ],
-    [
-      37,
-      22,
-      0,
-      11,
-      0,
-      "COGVIDEOPIPE"
-    ],
-    [
-      38,
-      22,
-      1,
-      11,
-      1,
-      "LATENT"
-    ],
-    [
-      54,
-      20,
-      0,
-      30,
-      0,
-      "CLIP"
-    ],
-    [
-      55,
-      30,
-      0,
-      22,
-      1,
-      "CONDITIONING"
-    ],
-    [
-      56,
-      20,
-      0,
-      31,
-      0,
-      "CLIP"
-    ],
-    [
-      57,
-      31,
-      0,
-      22,
-      2,
-      "CONDITIONING"
-    ],
-    [
-      59,
-      11,
-      0,
-      33,
-      0,
-      "IMAGE"
-    ],
-    [
-      60,
-      33,
-      0,
-      32,
-      0,
-      "IMAGE"
-    ],
-    [
-      61,
-      34,
-      0,
-      22,
-      5,
-      "COGCONTEXT"
-    ]
-  ],
-  "groups": [],
-  "config": {},
-  "extra": {
-    "ds": {
-      "scale": 0.8390545288825444,
-      "offset": [
-        -14.198557467892236,
-        144.90015432747748
-      ]
-    }
-  },
-  "version": 0.4
-}
\ No newline at end of file
diff --git a/examples/cogvideox_2b_controlnet_example_01.json b/examples/cogvideox_1_0_2b_controlnet_02.json
similarity index 80%
rename from examples/cogvideox_2b_controlnet_example_01.json
rename to examples/cogvideox_1_0_2b_controlnet_02.json
index 6e826ab..739bf17 100644
--- a/examples/cogvideox_2b_controlnet_example_01.json
+++ b/examples/cogvideox_1_0_2b_controlnet_02.json
@@ -1,56 +1,7 @@
 {
-  "last_node_id": 43,
-  "last_link_id": 77,
+  "last_node_id": 48,
+  "last_link_id": 90,
   "nodes": [
-    {
-      "id": 11,
-      "type": "CogVideoDecode",
-      "pos": {
-        "0": 740,
-        "1": 580
-      },
-      "size": {
-        "0": 300.396484375,
-        "1": 198
-      },
-      "flags": {},
-      "order": 11,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "pipeline",
-          "type": "COGVIDEOPIPE",
-          "link": 63
-        },
-        {
-          "name": "samples",
-          "type": "LATENT",
-          "link": 64
-        }
-      ],
-      "outputs": [
-        {
-          "name": "images",
-          "type": "IMAGE",
-          "links": [
-            76
-          ],
-          "slot_index": 0,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CogVideoDecode"
-      },
-      "widgets_values": [
-        false,
-        240,
-        360,
-        0.2,
-        0.2,
-        true
-      ]
-    },
     {
       "id": 41,
       "type": "HEDPreprocessor",
@@ -63,7 +14,7 @@
         "1": 82
       },
       "flags": {},
-      "order": 6,
+      "order": 4,
       "mode": 0,
       "inputs": [
         {
@@ -90,82 +41,6 @@
         768
       ]
     },
-    {
-      "id": 31,
-      "type": "CogVideoTextEncode",
-      "pos": {
-        "0": 140,
-        "1": 660
-      },
-      "size": {
-        "0": 463.01251220703125,
-        "1": 124
-      },
-      "flags": {},
-      "order": 5,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "clip",
-          "type": "CLIP",
-          "link": 56
-        }
-      ],
-      "outputs": [
-        {
-          "name": "conditioning",
-          "type": "CONDITIONING",
-          "links": [
-            62
-          ],
-          "slot_index": 0,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CogVideoTextEncode"
-      },
-      "widgets_values": [
-        "",
-        1,
-        true
-      ]
-    },
-    {
-      "id": 20,
-      "type": "CLIPLoader",
-      "pos": {
-        "0": -390,
-        "1": 480
-      },
-      "size": {
-        "0": 451.30548095703125,
-        "1": 82
-      },
-      "flags": {},
-      "order": 0,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [
-            54,
-            56
-          ],
-          "slot_index": 0,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CLIPLoader"
-      },
-      "widgets_values": [
-        "t5\\google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors",
-        "sd3"
-      ]
-    },
     {
       "id": 38,
       "type": "VHS_LoadVideo",
@@ -178,7 +53,7 @@
         427.63671875
       ],
       "flags": {},
-      "order": 1,
+      "order": 0,
       "mode": 0,
       "inputs": [
         {
@@ -260,7 +135,7 @@
         "1": 266
       },
       "flags": {},
-      "order": 7,
+      "order": 6,
       "mode": 0,
       "inputs": [
         {
@@ -327,12 +202,280 @@
         "disabled"
       ]
     },
+    {
+      "id": 30,
+      "type": "CogVideoTextEncode",
+      "pos": {
+        "0": 130,
+        "1": 350
+      },
+      "size": {
+        "0": 475.7875061035156,
+        "1": 231.29896545410156
+      },
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "link": 54
+        }
+      ],
+      "outputs": [
+        {
+          "name": "conditioning",
+          "type": "CONDITIONING",
+          "links": [
+            84
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "links": [
+            78
+          ],
+          "slot_index": 1
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "CogVideoTextEncode"
+      },
+      "widgets_values": [
+        "car is moving among mountains",
+        1,
+        false
+      ]
+    },
+    {
+      "id": 31,
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+            85
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+          "type": "COGVIDEOMODEL",
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+          "name": "vae",
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+          "links": [
+            67
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+          "link": 67
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+        {
+          "name": "images",
+          "type": "IMAGE",
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+      "outputs": [
+        {
+          "name": "cogvideo_controlnet",
+          "type": "COGVIDECONTROLNET",
+          "links": [
+            86
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+          "slot_index": 0
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@@ -361,12 +504,17 @@
         {
           "name": "720 width",
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         {
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           "type": "INT",
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         },
         {
           "name": "49 count",
@@ -380,212 +528,91 @@
       "widgets_values": []
     },
     {
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-      "type": "CogVideoControlNet",
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-          "type": "COGVIDECONTROLNET",
-          "links": [
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-          "slot_index": 0
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@@ -603,56 +630,104 @@
         {
           "name": "controlnet",
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-          "link": 68,
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           "shape": 7
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-          "name": "cogvideo_pipe",
-          "type": "COGVIDEOPIPE",
-          "links": [
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-          "shape": 3
-        },
         {
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+            87
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+          "name": "images",
+          "type": "IMAGE",
+          "links": [
+            81
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+        }
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+      "properties": {
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@@ -663,7 +738,7 @@
         {
           "name": "image_2",
           "type": "IMAGE",
-          "link": 76
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@@ -696,7 +771,7 @@
         576.9007568359375
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       "flags": {},
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@@ -737,7 +812,7 @@
       "widgets_values": {
         "frame_rate": 8,
         "loop_count": 0,
-        "filename_prefix": "CogVideoX2B_controlnet",
+        "filename_prefix": "CogVideoX_2b_controlnet",
         "format": "video/h264-mp4",
         "pix_fmt": "yuv420p",
         "crf": 19,
@@ -748,7 +823,7 @@
           "hidden": false,
           "paused": false,
           "params": {
-            "filename": "CogVideoX2B_00007.mp4",
+            "filename": "CogVideoX2B_controlnet_00003.mp4",
             "subfolder": "",
             "type": "temp",
             "format": "video/h264-mp4",
@@ -768,54 +843,6 @@
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@@ -824,14 +851,6 @@
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   "config": {},
   "extra": {
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diff --git a/examples/cogvideox_I2V_example_01.json b/examples/cogvideox_1_0_5b_I2V_02.json
similarity index 75%
rename from examples/cogvideox_I2V_example_01.json
rename to examples/cogvideox_1_0_5b_I2V_02.json
index b6cefa3..f1265d6 100644
--- a/examples/cogvideox_I2V_example_01.json
+++ b/examples/cogvideox_1_0_5b_I2V_02.json
@@ -1,42 +1,7 @@
 {
-  "last_node_id": 58,
-  "last_link_id": 129,
+  "last_node_id": 63,
+  "last_link_id": 149,
   "nodes": [
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@@ -46,16 +11,16 @@
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         {
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@@ -63,10 +28,15 @@
           "name": "conditioning",
           "type": "CONDITIONING",
           "links": [
-            123
+            146
           ],
           "slot_index": 0,
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@@ -78,6 +48,208 @@
         true
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+          "type": "LATENT",
+          "links": [
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+        {
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+          "type": "IMAGE",
+          "link": 142
+        },
+        {
+          "name": "end_image",
+          "type": "IMAGE",
+          "link": null,
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+      "outputs": [
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+          "type": "LATENT",
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+            147
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+      "properties": {
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+          "type": "COGLORA",
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+        {
+          "name": "compile_args",
+          "type": "COMPILEARGS",
+          "link": null,
+          "shape": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "model",
+          "type": "COGVIDEOMODEL",
+          "links": [
+            144
+          ]
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
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+      "properties": {
+        "Node name for S&R": "DownloadAndLoadCogVideoModel"
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+      "widgets_values": [
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+        "sdpa",
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     {
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@@ -90,7 +262,7 @@
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           "name": "conditioning",
           "type": "CONDITIONING",
           "links": [
-            122
+            145
           ],
           "slot_index": 0,
           "shape": 3
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@@ -116,22 +296,22 @@
       "widgets_values": [
         "a majestic stag is grazing in an enhanced forest, basking in the setting sun filtered by the trees",
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@@ -142,7 +322,8 @@
         {
           "name": "get_image_size",
           "type": "IMAGE",
-          "link": null
+          "link": null,
+          "shape": 7
         },
         {
           "name": "width_input",
@@ -166,7 +347,7 @@
           "name": "IMAGE",
           "type": "IMAGE",
           "links": [
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           "shape": 3
@@ -199,64 +380,88 @@
       ]
     },
     {
-      "id": 58,
-      "type": "CogVideoImageEncode",
+      "id": 36,
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-          "name": "mask",
-          "type": "MASK",
-          "link": null
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         {
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-          "type": "LATENT",
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           "links": [
-            129
+            71
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           "shape": 3
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       "properties": {
-        "Node name for S&R": "CogVideoImageEncode"
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+        "t5\\google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors",
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@@ -264,14 +469,14 @@
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@@ -279,17 +484,15 @@
           "name": "images",
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@@ -367,180 +573,6 @@
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diff --git a/examples/cogvideox_1_0_5b_I2V_Tora_02.json b/examples/cogvideox_1_0_5b_I2V_Tora_02.json
new file mode 100644
index 0000000..a9e46a6
--- /dev/null
+++ b/examples/cogvideox_1_0_5b_I2V_Tora_02.json
@@ -0,0 +1,1710 @@
+{
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+        null,
+        null
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+      "id": 83,
+      "type": "AppendStringsToList",
+      "pos": {
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+        "1": 915
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+      "size": [
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+          "type": "STRING",
+          "link": 212,
+          "widget": {
+            "name": "string1"
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+        {
+          "name": "string2",
+          "type": "STRING",
+          "link": 211,
+          "widget": {
+            "name": "string2"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": [
+            217
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "AppendStringsToList"
+      },
+      "widgets_values": [
+        "",
+        ""
+      ]
+    },
+    {
+      "id": 86,
+      "type": "AppendStringsToList",
+      "pos": {
+        "0": 683,
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+      "mode": 0,
+      "inputs": [
+        {
+          "name": "string1",
+          "type": "STRING",
+          "link": 217,
+          "widget": {
+            "name": "string1"
+          }
+        },
+        {
+          "name": "string2",
+          "type": "STRING",
+          "link": 218,
+          "widget": {
+            "name": "string2"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": [
+            219,
+            220
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "AppendStringsToList"
+      },
+      "widgets_values": [
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+        {
+          "name": "coordinates",
+          "type": "STRING",
+          "link": 219,
+          "widget": {
+            "name": "coordinates"
+          }
+        },
+        {
+          "name": "size_multiplier",
+          "type": "FLOAT",
+          "link": null,
+          "widget": {
+            "name": "size_multiplier"
+          },
+          "shape": 7
+        },
+        {
+          "name": "frame_width",
+          "type": "INT",
+          "link": 149,
+          "widget": {
+            "name": "frame_width"
+          }
+        },
+        {
+          "name": "frame_height",
+          "type": "INT",
+          "link": 150,
+          "widget": {
+            "name": "frame_height"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            153
+          ],
+          "slot_index": 0
+        },
+        {
+          "name": "mask",
+          "type": "MASK",
+          "links": [
+            154
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+          "slot_index": 1
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+      "properties": {
+        "Node name for S&R": "CreateShapeImageOnPath"
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+        "",
+        512,
+        512,
+        12,
+        12,
+        "red",
+        "black",
+        0,
+        1,
+        [
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+        1.3
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+    {
+      "id": 68,
+      "type": "ImageCompositeMasked",
+      "pos": {
+        "0": 1528.82080078125,
+        "1": 1280.833251953125
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+      "flags": {},
+      "order": 22,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "destination",
+          "type": "IMAGE",
+          "link": 155
+        },
+        {
+          "name": "source",
+          "type": "IMAGE",
+          "link": 153
+        },
+        {
+          "name": "mask",
+          "type": "MASK",
+          "link": 154,
+          "shape": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            156
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ImageCompositeMasked"
+      },
+      "widgets_values": [
+        0,
+        0,
+        false
+      ]
+    },
+    {
+      "id": 91,
+      "type": "Note",
+      "pos": {
+        "0": 1565.82080078125,
+        "1": 1475.833251953125
+      },
+      "size": [
+        251.63747656176258,
+        73.90463053872986
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "This is only for visualization"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 85,
+      "type": "SplineEditor",
+      "pos": {
+        "0": 232,
+        "1": 1226
+      },
+      "size": [
+        765,
+        910
+      ],
+      "flags": {},
+      "order": 12,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "bg_image",
+          "type": "IMAGE",
+          "link": 216,
+          "shape": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "links": [],
+          "slot_index": 0
+        },
+        {
+          "name": "coord_str",
+          "type": "STRING",
+          "links": [
+            218
+          ],
+          "slot_index": 1
+        },
+        {
+          "name": "float",
+          "type": "FLOAT",
+          "links": null
+        },
+        {
+          "name": "count",
+          "type": "INT",
+          "links": null
+        },
+        {
+          "name": "normalized_str",
+          "type": "STRING",
+          "links": null
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "SplineEditor",
+        "points": "SplineEditor",
+        "imgData": {
+          "name": "bg_image",
+          "base64": [
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+      "type": "DownloadAndLoadToraModel",
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+        "0": 315,
+        "1": 58
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+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "tora_model",
+          "type": "TORAMODEL",
+          "links": [
+            193
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "DownloadAndLoadToraModel"
+      },
+      "widgets_values": [
+        "kijai/CogVideoX-5b-Tora"
+      ]
+    },
+    {
+      "id": 66,
+      "type": "VHS_VideoCombine",
+      "pos": {
+        "0": 1485,
+        "1": 436
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+      "size": [
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+        714.2606608072917
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+      "flags": {},
+      "order": 20,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 203
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "link": null,
+          "shape": 7
+        },
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null,
+          "shape": 7
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null,
+          "shape": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "Filenames",
+          "type": "VHS_FILENAMES",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_VideoCombine"
+      },
+      "widgets_values": {
+        "frame_rate": 8,
+        "loop_count": 0,
+        "filename_prefix": "CogVideoX-Tora-trajectory",
+        "format": "video/h264-mp4",
+        "pix_fmt": "yuv420p",
+        "crf": 19,
+        "save_metadata": true,
+        "pingpong": false,
+        "save_output": false,
+        "videopreview": {
+          "hidden": false,
+          "paused": false,
+          "params": {
+            "filename": "CogVideoX-Tora-trajectory_00010.mp4",
+            "subfolder": "",
+            "type": "temp",
+            "format": "video/h264-mp4",
+            "frame_rate": 8
+          },
+          "muted": false
+        }
+      }
+    },
+    {
+      "id": 90,
+      "type": "Note",
+      "pos": {
+        "0": 339,
+        "1": 1066
+      },
+      "size": [
+        251.63747656176258,
+        73.90463053872986
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+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "Three sets of coordinates are created here and appened to a list"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 92,
+      "type": "Note",
+      "pos": {
+        "0": 1200,
+        "1": 1045
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+      "size": [
+        251.63747656176258,
+        73.90463053872986
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+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "Coordinates are used to create optical flow video, which is then encoded for Tora"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 80,
+      "type": "DownloadAndLoadCogVideoModel",
+      "pos": {
+        "0": 106,
+        "1": -85
+      },
+      "size": {
+        "0": 315,
+        "1": 218
+      },
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "block_edit",
+          "type": "TRANSFORMERBLOCKS",
+          "link": null,
+          "shape": 7
+        },
+        {
+          "name": "lora",
+          "type": "COGLORA",
+          "link": null,
+          "shape": 7
+        },
+        {
+          "name": "compile_args",
+          "type": "COMPILEARGS",
+          "link": null,
+          "shape": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "model",
+          "type": "COGVIDEOMODEL",
+          "links": [
+            204
+          ]
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "links": [
+            205,
+            206,
+            208
+          ]
+        }
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+      "color": "#3f789e",
+      "font_size": 24,
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+  },
+  "version": 0.4
+}
\ No newline at end of file
diff --git a/examples/cogvideox_5b_example_01.json b/examples/cogvideox_1_0_5b_T2V_02.json
similarity index 68%
rename from examples/cogvideox_5b_example_01.json
rename to examples/cogvideox_1_0_5b_T2V_02.json
index af7522a..01c3669 100644
--- a/examples/cogvideox_5b_example_01.json
+++ b/examples/cogvideox_1_0_5b_T2V_02.json
@@ -1,48 +1,7 @@
 {
-  "last_node_id": 34,
-  "last_link_id": 64,
+  "last_node_id": 37,
+  "last_link_id": 72,
   "nodes": [
-    {
-      "id": 31,
-      "type": "CogVideoTextEncode",
-      "pos": {
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@@ -50,12 +9,12 @@
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         "1": 308
       },
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-        "1": 168.08047485351562
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@@ -69,10 +28,18 @@
           "name": "conditioning",
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-            61
+            67
           ],
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           "shape": 3
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         }
       ],
       "properties": {
@@ -81,192 +48,79 @@
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-        true
+        false
       ]
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         {
-          "name": "cogvideo_pipe",
-          "type": "COGVIDEOPIPE",
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           "links": [
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+            68
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       },
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-        "disabled",
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       ]
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     {
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       "type": "CogVideoDecode",
       "pos": {
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+        "0": 1416,
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@@ -293,83 +147,297 @@
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+          "link": null,
+          "shape": 7
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+      "outputs": [
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+          "name": "Filenames",
+          "type": "VHS_FILENAMES",
+          "links": null,
+          "shape": 3
+        }
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+      "properties": {
+        "Node name for S&R": "VHS_VideoCombine"
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+      "widgets_values": {
+        "frame_rate": 8,
+        "loop_count": 0,
+        "filename_prefix": "CogVideoX5B-T2V",
+        "format": "video/h264-mp4",
+        "pix_fmt": "yuv420p",
+        "crf": 19,
+        "save_metadata": true,
+        "pingpong": false,
+        "save_output": false,
+        "videopreview": {
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+          "paused": false,
+          "params": {
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+            "subfolder": "",
+            "type": "temp",
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+            "frame_rate": 8
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+          "muted": false
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@@ -381,14 +449,6 @@
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@@ -398,43 +458,59 @@
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@@ -442,10 +518,10 @@
   "config": {},
   "extra": {
     "ds": {
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+      "scale": 0.7627768444387061,
       "offset": [
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-        155.20539218330134
+        734.1791945221892,
+        237.29437844909364
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diff --git a/examples/cogvideox_interpolation_example_01.json b/examples/cogvideox_1_0_5b_interpolation_02.json
similarity index 78%
rename from examples/cogvideox_interpolation_example_01.json
rename to examples/cogvideox_1_0_5b_interpolation_02.json
index 8198543..6bea1e8 100644
--- a/examples/cogvideox_interpolation_example_01.json
+++ b/examples/cogvideox_1_0_5b_interpolation_02.json
@@ -1,42 +1,7 @@
 {
-  "last_node_id": 67,
-  "last_link_id": 152,
+  "last_node_id": 68,
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@@ -46,16 +11,16 @@
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@@ -63,10 +28,15 @@
           "name": "conditioning",
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+            146
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@@ -78,6 +48,95 @@
         true
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+        {
+          "name": "tora_trajectory",
+          "type": "TORAFEATURES",
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+          "shape": 7
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+        {
+          "name": "fastercache",
+          "type": "FASTERCACHEARGS",
+          "link": null,
+          "shape": 7
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+        "CogVideoXDDIM",
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       "type": "CogVideoTextEncode",
@@ -104,10 +163,18 @@
           "name": "conditioning",
           "type": "CONDITIONING",
           "links": [
-            122
+            145
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           "slot_index": 0,
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@@ -116,297 +183,135 @@
       "widgets_values": [
         "a majestic stag is grazing in an enhanced forest, basking in the setting sun filtered by the trees",
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     {
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       "properties": {
-        "Node name for S&R": "CogVideoSampler"
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-          "name": "lora",
-          "type": "COGLORA",
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       "outputs": [
         {
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           "links": [
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           "shape": 3
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       "properties": {
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         266
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@@ -418,7 +323,7 @@
         {
           "name": "get_image_size",
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+          "link": null,
           "shape": 7
         },
         {
@@ -438,6 +343,22 @@
             "name": "height_input"
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           "shape": 7
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+          "widget": {
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@@ -445,7 +366,7 @@
           "name": "IMAGE",
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@@ -453,15 +374,13 @@
         {
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@@ -483,15 +402,15 @@
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@@ -527,8 +446,7 @@
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@@ -536,16 +454,20 @@
         {
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@@ -563,96 +485,14 @@
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+      "id": 60,
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@@ -660,14 +500,14 @@
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+          "name": "vae",
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@@ -675,10 +515,8 @@
           "name": "images",
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@@ -692,6 +530,193 @@
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@@ -820,10 +853,10 @@
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diff --git a/examples/cogvideo_5b_vid2vid_example_01.json b/examples/cogvideox_1_0_5b_vid2vid_02.json
similarity index 84%
rename from examples/cogvideo_5b_vid2vid_example_01.json
rename to examples/cogvideox_1_0_5b_vid2vid_02.json
index 5c545e6..a45ff0b 100644
--- a/examples/cogvideo_5b_vid2vid_example_01.json
+++ b/examples/cogvideox_1_0_5b_vid2vid_02.json
@@ -1,6 +1,6 @@
 {
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@@ -22,8 +22,7 @@
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@@ -129,7 +128,7 @@
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       "bgcolor": "#29699c"
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       "type": "DownloadAndLoadCogVideoModel",
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@@ -313,18 +764,12 @@
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@@ -336,18 +781,29 @@
           "type": "COGLORA",
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+        },
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+          "name": "model",
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@@ -355,75 +811,23 @@
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@@ -478,7 +882,7 @@
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@@ -486,421 +890,6 @@
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diff --git a/examples/cogvideox_5b_Tora_I2V_testing_01.json b/examples/cogvideox_5b_Tora_I2V_testing_01.json
deleted file mode 100644
index 604e0fe..0000000
--- a/examples/cogvideox_5b_Tora_I2V_testing_01.json
+++ /dev/null
@@ -1,1337 +0,0 @@
-{
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diff --git a/examples/cogvideox_5b_tora_trajectory_example_01.json b/examples/cogvideox_5b_tora_trajectory_example_01.json
deleted file mode 100644
index bad2570..0000000
--- a/examples/cogvideox_5b_tora_trajectory_example_01.json
+++ /dev/null
@@ -1,1119 +0,0 @@
-{
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-  "last_link_id": 174,
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diff --git a/examples/cogvidex_fun_i2v_example_02.json b/examples/cogvideox_Fun_I2V_02.json
similarity index 75%
rename from examples/cogvidex_fun_i2v_example_02.json
rename to examples/cogvideox_Fun_I2V_02.json
index d7023d1..66fea99 100644
--- a/examples/cogvidex_fun_i2v_example_02.json
+++ b/examples/cogvideox_Fun_I2V_02.json
@@ -1,13 +1,198 @@
 {
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-  "last_link_id": 110,
+  "last_node_id": 51,
+  "last_link_id": 123,
   "nodes": [
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+      "type": "CogVideoSampler",
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+          "type": "LATENT",
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+          "shape": 7
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+        },
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+          "type": "TORAFEATURES",
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+        {
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+          "type": "FASTERCACHEARGS",
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+        }
+      ],
+      "outputs": [
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+          "name": "conditioning",
+          "type": "CONDITIONING",
+          "links": [
+            117
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
+        {
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+          "type": "CLIP",
+          "links": null
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "CogVideoTextEncode"
+      },
+      "widgets_values": [
+        "The video is not of a high quality, it has a low resolution. Watermark present in each frame. Strange motion trajectory. ",
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@@ -37,29 +222,200 @@
       ]
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+      "id": 50,
+      "type": "CogVideoImageEncodeFunInP",
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-          "type": "COGVIDEOPIPE",
-          "link": 108
+          "name": "vae",
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+        },
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+          "type": "IMAGE",
+          "link": 118
+        },
+        {
+          "name": "end_image",
+          "type": "IMAGE",
+          "link": null,
+          "shape": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image_cond_latents",
+          "type": "LATENT",
+          "links": [
+            120
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
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+      },
+      "widgets_values": [
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+        0
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+      "type": "ImageResizeKJ",
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+        "1": 266
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+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [
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+          "name": "image",
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+          "link": 71
+        },
+        {
+          "name": "get_image_size",
+          "type": "IMAGE",
+          "link": null,
+          "shape": 7
+        },
+        {
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+          "widget": {
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+          "type": "IMAGE",
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+        480,
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+        "disabled"
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+    {
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+      "type": "LoadImage",
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+        477.48971409949377
+      ],
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+      "order": 1,
+      "mode": 0,
+      "inputs": [],
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+          "type": "IMAGE",
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+            71
+          ],
+          "slot_index": 0,
+          "shape": 3
+        },
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+          "name": "MASK",
+          "type": "MASK",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "LoadImage"
+      },
+      "widgets_values": [
+        "6e1a7befce6daa63fc01cb66c1a22ed0.jpg",
+        "image"
+      ]
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+    {
+      "id": 51,
+      "type": "CogVideoDecode",
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+        "1": -134
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+        "1": 198
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+      "flags": {},
+      "order": 8,
+      "mode": 0,
+      "inputs": [
+        {
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+          "type": "VAE",
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         },
         {
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           "type": "LATENT",
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+          "link": 123
         }
       ],
       "outputs": [
@@ -67,17 +423,15 @@
           "name": "images",
           "type": "IMAGE",
           "links": [
-            97
-          ],
-          "slot_index": 0,
-          "shape": 3
+            121
+          ]
         }
       ],
       "properties": {
         "Node name for S&R": "CogVideoDecode"
       },
       "widgets_values": [
-        false,
+        true,
         240,
         360,
         0.2,
@@ -85,71 +439,25 @@
         true
       ]
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-          "type": "CONDITIONING",
-          "links": [
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-          "slot_index": 0,
-          "shape": 3
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-      },
-      "widgets_values": [
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-        1,
-        true
-      ]
-    },
     {
       "id": 44,
       "type": "VHS_VideoCombine",
       "pos": {
-        "0": 1842,
-        "1": 345
+        "0": 1602,
+        "1": -131
       },
       "size": [
-        605.3909912109375,
-        714.2606608072917
+        767.7372279260157,
+        822.491455078125
       ],
       "flags": {},
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+      "order": 9,
       "mode": 0,
       "inputs": [
         {
           "name": "images",
           "type": "IMAGE",
-          "link": 97
+          "link": 121
         },
         {
           "name": "audio",
@@ -195,7 +503,7 @@
           "hidden": false,
           "paused": false,
           "params": {
-            "filename": "CogVideoX_Fun_00001.mp4",
+            "filename": "CogVideoX_Fun_00002.mp4",
             "subfolder": "",
             "type": "temp",
             "format": "video/h264-mp4",
@@ -206,66 +514,20 @@
       }
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-          "shape": 3
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-        "image"
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-    },
-    {
-      "id": 1,
+      "id": 49,
       "type": "DownloadAndLoadCogVideoModel",
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-        "1": 53
+        "0": 491,
+        "1": -167
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       "size": {
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@@ -277,256 +539,42 @@
           "type": "COGLORA",
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+        },
+        {
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       "outputs": [
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-          "type": "COGVIDEOPIPE",
+          "name": "model",
+          "type": "COGVIDEOMODEL",
           "links": [
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+            114
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new file mode 100644
index 0000000..9bd01df
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+        null,
+        null
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+      "id": 83,
+      "type": "AppendStringsToList",
+      "pos": {
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+        "1": 915
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+      "size": [
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+          "type": "STRING",
+          "link": 212,
+          "widget": {
+            "name": "string1"
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+        {
+          "name": "string2",
+          "type": "STRING",
+          "link": 211,
+          "widget": {
+            "name": "string2"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": [
+            217
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "AppendStringsToList"
+      },
+      "widgets_values": [
+        "",
+        ""
+      ]
+    },
+    {
+      "id": 86,
+      "type": "AppendStringsToList",
+      "pos": {
+        "0": 683,
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+      "mode": 0,
+      "inputs": [
+        {
+          "name": "string1",
+          "type": "STRING",
+          "link": 217,
+          "widget": {
+            "name": "string1"
+          }
+        },
+        {
+          "name": "string2",
+          "type": "STRING",
+          "link": 218,
+          "widget": {
+            "name": "string2"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": [
+            219,
+            220
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "AppendStringsToList"
+      },
+      "widgets_values": [
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+        {
+          "name": "coordinates",
+          "type": "STRING",
+          "link": 219,
+          "widget": {
+            "name": "coordinates"
+          }
+        },
+        {
+          "name": "size_multiplier",
+          "type": "FLOAT",
+          "link": null,
+          "widget": {
+            "name": "size_multiplier"
+          },
+          "shape": 7
+        },
+        {
+          "name": "frame_width",
+          "type": "INT",
+          "link": 149,
+          "widget": {
+            "name": "frame_width"
+          }
+        },
+        {
+          "name": "frame_height",
+          "type": "INT",
+          "link": 150,
+          "widget": {
+            "name": "frame_height"
+          }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "links": [
+            153
+          ],
+          "slot_index": 0
+        },
+        {
+          "name": "mask",
+          "type": "MASK",
+          "links": [
+            154
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+          "slot_index": 1
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+      "properties": {
+        "Node name for S&R": "CreateShapeImageOnPath"
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+        "",
+        512,
+        512,
+        12,
+        12,
+        "red",
+        "black",
+        0,
+        1,
+        [
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+        1.3
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+    {
+      "id": 68,
+      "type": "ImageCompositeMasked",
+      "pos": {
+        "0": 1528.82080078125,
+        "1": 1280.833251953125
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+      "flags": {},
+      "order": 22,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "destination",
+          "type": "IMAGE",
+          "link": 155
+        },
+        {
+          "name": "source",
+          "type": "IMAGE",
+          "link": 153
+        },
+        {
+          "name": "mask",
+          "type": "MASK",
+          "link": 154,
+          "shape": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            156
+          ],
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ImageCompositeMasked"
+      },
+      "widgets_values": [
+        0,
+        0,
+        false
+      ]
+    },
+    {
+      "id": 91,
+      "type": "Note",
+      "pos": {
+        "0": 1565.82080078125,
+        "1": 1475.833251953125
+      },
+      "size": [
+        251.63747656176258,
+        73.90463053872986
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "This is only for visualization"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 85,
+      "type": "SplineEditor",
+      "pos": {
+        "0": 232,
+        "1": 1226
+      },
+      "size": [
+        765,
+        910
+      ],
+      "flags": {},
+      "order": 11,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "bg_image",
+          "type": "IMAGE",
+          "link": 216,
+          "shape": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "mask",
+          "type": "MASK",
+          "links": [],
+          "slot_index": 0
+        },
+        {
+          "name": "coord_str",
+          "type": "STRING",
+          "links": [
+            218
+          ],
+          "slot_index": 1
+        },
+        {
+          "name": "float",
+          "type": "FLOAT",
+          "links": null
+        },
+        {
+          "name": "count",
+          "type": "INT",
+          "links": null
+        },
+        {
+          "name": "normalized_str",
+          "type": "STRING",
+          "links": null
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "SplineEditor",
+        "points": "SplineEditor",
+        "imgData": {
+          "name": "bg_image",
+          "base64": [
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+        49,
+        "path",
+        "basis",
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+        "list",
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+        null,
+        null
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+    {
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+      "type": "DownloadAndLoadToraModel",
+      "pos": {
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+        "1": 937
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+      "size": {
+        "0": 315,
+        "1": 58
+      },
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "tora_model",
+          "type": "TORAMODEL",
+          "links": [
+            193
+          ]
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "DownloadAndLoadToraModel"
+      },
+      "widgets_values": [
+        "kijai/CogVideoX-5b-Tora"
+      ]
+    },
+    {
+      "id": 66,
+      "type": "VHS_VideoCombine",
+      "pos": {
+        "0": 1485,
+        "1": 436
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+      "size": [
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+        714.2606608072917
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+      "flags": {},
+      "order": 20,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 203
+        },
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "link": null,
+          "shape": 7
+        },
+        {
+          "name": "meta_batch",
+          "type": "VHS_BatchManager",
+          "link": null,
+          "shape": 7
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": null,
+          "shape": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "Filenames",
+          "type": "VHS_FILENAMES",
+          "links": null,
+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "VHS_VideoCombine"
+      },
+      "widgets_values": {
+        "frame_rate": 8,
+        "loop_count": 0,
+        "filename_prefix": "CogVideoX-Tora-trajectory",
+        "format": "video/h264-mp4",
+        "pix_fmt": "yuv420p",
+        "crf": 19,
+        "save_metadata": true,
+        "pingpong": false,
+        "save_output": false,
+        "videopreview": {
+          "hidden": false,
+          "paused": false,
+          "params": {
+            "filename": "CogVideoX-Tora-trajectory_00011.mp4",
+            "subfolder": "",
+            "type": "temp",
+            "format": "video/h264-mp4",
+            "frame_rate": 8
+          },
+          "muted": false
+        }
+      }
+    },
+    {
+      "id": 90,
+      "type": "Note",
+      "pos": {
+        "0": 339,
+        "1": 1066
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+      "size": [
+        251.63747656176258,
+        73.90463053872986
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+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "Three sets of coordinates are created here and appened to a list"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 92,
+      "type": "Note",
+      "pos": {
+        "0": 1200,
+        "1": 1045
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+      "size": [
+        251.63747656176258,
+        73.90463053872986
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+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "Coordinates are used to create optical flow video, which is then encoded for Tora"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 79,
+      "type": "CogVideoSampler",
+      "pos": {
+        "0": 1089,
+        "1": 17
+      },
+      "size": [
+        330,
+        570
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+      "flags": {},
+      "order": 19,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "model",
+          "type": "COGVIDEOMODEL",
+          "link": 204
+        },
+        {
+          "name": "positive",
+          "type": "CONDITIONING",
+          "link": 197
+        },
+        {
+          "name": "negative",
+          "type": "CONDITIONING",
+          "link": 198
+        },
+        {
+          "name": "samples",
+          "type": "LATENT",
+          "link": null,
+          "shape": 7
+        },
+        {
+          "name": "image_cond_latents",
+          "type": "LATENT",
+          "link": 226,
+          "shape": 7
+        },
+        {
+          "name": "context_options",
+          "type": "COGCONTEXT",
+          "link": null,
+          "shape": 7
+        },
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+  "version": 0.4
+}
\ No newline at end of file
diff --git a/examples/cogvideox_fun_pose_example_01.json b/examples/cogvideox_Fun_pose_02.json
similarity index 78%
rename from examples/cogvideox_fun_pose_example_01.json
rename to examples/cogvideox_Fun_pose_02.json
index da8750d..9d85910 100644
--- a/examples/cogvideox_fun_pose_example_01.json
+++ b/examples/cogvideox_Fun_pose_02.json
@@ -1,48 +1,7 @@
 {
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-  "last_link_id": 182,
+  "last_node_id": 86,
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@@ -55,13 +14,14 @@
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-      "order": 6,
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+          "link": 128,
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@@ -150,14 +110,153 @@
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       "type": "CogVideoDecode",
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@@ -165,14 +264,14 @@
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-          "name": "pipeline",
-          "type": "COGVIDEOPIPE",
-          "link": 180
+          "name": "vae",
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         {
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+          "link": 189
         }
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@@ -180,10 +279,8 @@
           "name": "images",
           "type": "IMAGE",
           "links": [
-            124
-          ],
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-          "shape": 3
+            190
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       ],
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@@ -225,10 +322,18 @@
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-            178
+            183
           ],
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         }
       ],
       "properties": {
@@ -237,33 +342,152 @@
       "widgets_values": [
         "a brown bear is dancing in a forest, in front of a waterfall",
         1,
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@@ -333,47 +557,12 @@
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@@ -418,83 +607,12 @@
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@@ -512,7 +630,8 @@
         {
           "name": "get_image_size",
           "type": "IMAGE",
-          "link": null
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         {
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@@ -572,8 +691,8 @@
       "id": 61,
       "type": "GetImageSizeAndCount",
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@@ -595,7 +714,7 @@
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@@ -625,188 +744,149 @@
       "widgets_values": []
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-      "type": "DownloadAndLoadCogVideoGGUFModel",
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       "properties": {
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+        "Node name for S&R": "CogVideoImageEncode"
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       "widgets_values": [
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         false,
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     },
     {
-      "id": 82,
-      "type": "CogVideoXFunControlSampler",
+      "id": 83,
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       "pos": {
-        "0": 1085,
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       "mode": 0,
       "inputs": [
         {
-          "name": "pipeline",
-          "type": "COGVIDEOPIPE",
-          "link": 177
+          "name": "model",
+          "type": "COGVIDEOMODEL",
+          "link": 186
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         {
           "name": "positive",
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           "name": "negative",
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-          "name": "control_latents",
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         {
           "name": "samples",
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-          "link": null
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+          "name": "fastercache",
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       "outputs": [
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       "properties": {
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@@ -814,8 +894,8 @@
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@@ -833,7 +913,7 @@
         {
           "name": "image_2",
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-          "link": 124
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@@ -854,42 +934,6 @@
         true,
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@@ -901,22 +945,6 @@
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@@ -990,78 +1018,102 @@
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diff --git a/examples/cogvideox_fun_img2vid_tora_01.json b/examples/cogvideox_fun_img2vid_tora_01.json
deleted file mode 100644
index 6df7f35..0000000
--- a/examples/cogvideox_fun_img2vid_tora_01.json
+++ /dev/null
@@ -1,1315 +0,0 @@
-{
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xS4oGm1qefYaNypUhgSCD2Ir2nwXeWtj4ZtOViiEImmbpk4yzH1rz++0uB9TiupI90MhxKucfN2P40/W71LDQE0u1yi3LHIznbGDkge2cCvJxrcqkaUT1sO06bqMxvEOtSa9rd5qsuQJm/dqf4Yxwo/L+davw30L+09dbUJ03W1iQ/I4aU/dH4dfyrlJDnhQWPQAdSegH517r4W0UaDoFtYkDzgPMnPrI3J/Lp+Fdj92Nka4aHNLmZtpwMnrUyDio15IFS9BUI7pCSvsU1kSO084Re5qzfT7Vxmo9Li3Fpz9BUt3djWC5Y8xpwxiKMKOwqQHApmaR2wtWc71ZFcS44qmhMsyoO/Wm3U2MjNO0sb98p6dBUXuzdR5Y3NQcDFIzUmaYzVZhYRmqNmpGbmomak2Woj91Gai3c0oNK4xxOBShqjc4WhW5oHYlJpAaO1MzzigBpYo5FTo+cVWl6g0sT9vSjqNq6uXlpjBSSjqGRhgqe47ilQ5om+7u/u81Rmt7Hz14jsX8PeKLmwfPlRS5jJ7xtyp/I/pXUeD9QksryeybmG4G4AjI3qP6ir/xe0cSQafrMa5wTazH2PzIf/QhWB4dJmis7gYLqwB/3l4P6Uq1P21FxW558v3dUf4q0xLC4jvbNPLtLlyjRDokgGePQEduxBrESKST6V3Pjiy1C4tbL7NYyy6faq08ssfzZdvUDnCqOvua5azlhaDeAD6VOBlJ0I87uzOslzu2xHDpoI3SsQB61oaXEpuT5A2xR8PIOrH+6P6+1U2klvrhLaDgtwT2A7k10UNtHawJDEPkQfiT3JrtSOSrPlVkSnpTV60oGaQ8GrOQVhgZpAc077y0wDaaAF6UYzS9aOgoAb0p2Mik60qntQA3ODSnrQynOaAeKACilAoI4oAawyKYAQakHIppHNAC9KUUuOKF6YpDDFL1FGKbkigA6GnA9qBzRjFAC4xTSO9P7UnBoAaDinYzSYpwFADNtGafnmkIoAQUfhSgYFHWgBBxRwaUCmtwaAEK4NOU04DctIVxQAjKGUgjg9a5DXt6ag6yHIRQqf7vWuw7VyHif/kIkf3kXP5VnOMb81tTooSlflWxf+H2k/2r4mS5lXdbWAE7A9Gk6ID+OW/CvaEGT/WuQ+HmlHTfDEcsibZ7xzO2Rzt6IPy/nXYD7pPtXPJ3Z9BQhyQRJHySfU0522qTTU4WoLqTahqb6FpXZl3spkl2L1JxWzboIYEjHYVhWY8/UlzyF+Y1vb8VMO5vWVkoj93zVHO4C0m/5qq3suEqm9DGMLszby4wD6nitiwTyrONe+MmuYnk8y5SMdCa6iM7VA9BUR3OitG0UizmonakMmBTGbIq7nMojWaoWaldutQM1I0SH7qer1W3elOR+aLg0TzNhPqaYr1HcP8AIv1qMNQNLQ0I2yKZIdr/AFpkD9qdc8Ire+KZFtQl5jJ9KhR8NUoO+Ij2qmGPHtSZUV0NWF+RVggMMHoazoH5FaKnKA1S2MZKzMLxHpg1vwjqWn4zKYi0Xr5ifMv6jH41474UvhG88RIHSZAfXo39K93ibZdyD6Nivn3XbY+HvGd7AmRHDcsV9425H6H9K0ps5cXDaR7LoWqpcW4YEbojgHP8PUZ/WvIbuaI6jfG1AWCS4kaNV7KWOMV0ugXqw3FxC+GSaIjB6NjnH5E0v9nWp1T7ZFbxRRxoFjjjXALf3sfyrkoRcMTOC2epzVpr2SkM0rT/ALFBukH+kSDL/wCyP7v+NXzTutIRXqnkyld3YChhkUAcUHpQIbnFH3qXbkUKMUAJ0pw5GKRlyaAMUAKBTcYNPpD9KAE3Z4pMd6QrzTyPloAQGlI4poU07NAEQ4NP60MM0goAUHBoPXigrSjpSGKOlGKUUnOaAExg0tFIQaBDhzQV70inmnYoGN7UA0EUg4oEOIzSYNO60YoGNzRTsU00AKKRlpQCKcKAGKccVIMGmkCgAg8GgBxWqq+HbfWNXhaZnwMF1HRlHb2zVktgitvw9EHeaU9tqD+ZqKjtFnVg4c1aKOjjUKoUAAAYAFTnhR71Cp5qRj0+tcZ9KyTOBWbqMuIyM1eZsLWHqk2FPNKT0LoxvIn0RcpNMe7bR+FajNVHTF8rToQepG4/jUsknpQtEOes2WA3es7UJeOtWlfKg1k6hJyaUnoOnH3jNhk36rCv+1XWowIFeerfeTr1kp+68m1j6dh+td1G/wAuKim9zfEwtYkuZdkP1IH608tWbqU2yBTnjzF/nVsv1rS+pzuGiGySc4qFnyaZJJ8+PWoWfFK4+Um309W5qrvqRH5oE0PunxsHvSK/FVbuX9/GuakRuKLlKOhehb5hVm6/49CfQg1QjbkVcuDmwlP+zmqMpLUZbvlTVRmxI49DTrWTJ+tQzNi4f86T2KiveLsD8itWFspisKBula1u/SqiZ1EK/F+noyEV498WrEReJbe7AwLm2AJ9WU4/livX5z/pduf9oiuJ+KGmm90WC4QfvLVmf6rxkU07MyrQ5oW8jivDZ+1m3dudiHd9RxXTsMGub8HRFEut38BGPx//AFV1BGa7IrqfN1W3KwxaRjSgc4pSncVRiCg9aMUoOOKKBiUmKDmlFAgxSbaGPNIDQA5eBzRinA5FNNAwIzSYo60p6UCExTWBFLnml60ARgnOKcRgUu3FL1oAO1JSjmjbSGJ0p1M5zTloEFOGCaQ5oxjpQMa6HPFKCQOacG9aUqDQA3NKy5HFIBRkigBqhlpck08P60ECgBoNLxQRkUgBFADuKTFHNN5zQA4ikB5peaAO9AxetdRocPladGSMGQmQ/Q8D9BXMxxtLKkS/edgo/Gu2iRY0CqMKoCj6CsK8tLHq5VTvNz7EiH56kc4K1ArYkqWToK5j22tRsr4U1zuquWYJ3YgVuzN8tc7dMH1O3XP/AC0FTI2oLU6EEJEqDoABULvQ7VA7e9MSRPHJmPjsayNRf5iaW01Dfqs9qB8oQHdn+IdR+VV9TbBb6GpbujWEbSOaniaW63jqOh9Dmu+tZ/Ot45P7yg1xaxXaTbvIWSMnI2nnFdNp0wa3CgFWXqrDBFZ09GFSqpysN8QSldOYjruFWrC9S8sIZ0YEMo6eves7xESdLfHqKbpH+iwrbDhAo2/lzVOVpltL2S73NG4fBDehqN3ps53IRUCSboh696ojl0JQ/NSq9UvMxUivxxTJaKd7eKNXgh3fMVzitNG4rjr+Yp4jWcnA3BBXWRPlRUxd7mkorlVi7G/NXpnzp83/AFzNZCPhhV+Z8abOSf4DVpnNKOpVs5PmH0ptw/8ApR+lQWb4YfSiZs3NK+haXvF2BvetS2esiA1o27fMKpGVRFmc5ubb3kqprMKz2bIyhl+YEHuCpqeRt19aqPdqW6XfEw9/8apGclp8jgYokhQLGiov91RgUu4g07BwBTCD1rvR8k9yUcimkmkVuKN3NAgbmhSR1p+ARTccUAL1pMUAU7rQIZjmmkU4nFAGaAGgmpM5FNC96XHNABikIzTh0pDxzQAmOKOgoByaUrQAmeaCMCjHNDGgBqmn0x1I6UAkjmkMeFBzUZBVuOlP6Uu4HrQA3d60A08gHpSBfSgBODS8gcUhBFGT3oANwoz60YApcA8UAGBTSDSlfSm8g80CH8ijNIDTsUDEpB1p1Ko5oAaaB1pzcGm0DNbQ7fzLwzEfLEOP9410qfcrP0m3+zaehIw8nzt+PT9K0lGEH0rjqSvI+mwVL2dFLqyFzhxUrHclRSjjNCP8uKyO5rqRzN8tc3LJnW7cejZroJz8hrlLmTZrMbejYqJs3oLc6RnqtdXHlQsw69B9aaZhtyTxVPc11cYVC5Xoo7fWiUrIiTUVcfptmwlEh+8TnNN1dSu4Hg9CKdca1p+kEpeahFHIOsUa73H4Csu98VaLqGI4ruXzvWWLYpH17Uop2OeliEp+8zfFn5bqMdh/KtKO1Eke0YDY4NUrbUINRhFxZzQ3cIGGaE8r9V6iti02ugIIINSlZnNKo78yOa1lC+mzqRhgM49CKZbxloIZR/Egb9K39X0xrmB5IV3OVIdB/F7j3qpp9m/9j2jOhVxHhlIwRgmiSu7nXLERlSTW9ynKDjnvVHdslK9m5H1ree18xdpGPQ+lYt9bPC2GGPQjv9KtM0o1lPR7kDPhqeJMKaqs5PXr/Om+bhTTNrGdqGlJJMZyC0m7cCTnB9q3rGXzLVGPXGD9aWWEPGOM8VFagRs0YI9cZrOL1MKVS75WXA/z1avpdmjy8/ewv5ms3diUCjW7kpaWsA/5aOWb6Dp+taX0NOX3kPtH4BoZ91xVe2fEdPibdcCjoNL3jTgPNaMDd6y4q0bc+vTqapGMlqTxtv1IntGmPx/yasj5lNUbNiRLMernNX4x8gqkZTOCIwxHoTSMOKfMNs8i+jsP1pnau9HyM9G0MxSgZpwGaQ0yQBwacRxSdTSngUANzR0OaOKKBA3IoXiilPSgAxmjpSrwKQ0DEJpc8YpKKBDQOacDSijFAwpKXNIw4oAA3rQSMUnBoK8UgFzSYBoAo24oEHTpQCaQk0oNAx2aQ0Y4oxQAYzTdpFOFOIzQAwMc0/AIpu3Bp1ACFcULS4zSgYFAARgUitg80ZpcCgB2QansbT7Xexxfwk5b2UdarYxXQ6DbeXavcsPml4X/AHR/iaipLlideEo+1qpdDVP3T71MOlQtwAPerC9K4j6Z6EMi5BFVc7Tirriqkw5yKTNY6kMxyhridUcrqC7QSd/QV2cp+U1y1zHnU8+9Zz2N6cuW7NO2t5rpUB+XP+c1h61rNxLeDw/4dRmmZikk0Z+Zj3CnsB3atPWtTOkeHpJojiebEUR9M9SPoM1d+Hnh1bLSf7RnTFxdjcSeqxdVX8fvH8K0pU+Z3Z4mLxEtkZmn/Dyys7RrjUkuNTnAyYbcHbn0AGC59yRWBca5oEcrW7eDYQiEoQ8uyQYPfA4P417Vui8jeHUR7d27oAuM5+mOa8e8R6XZ3fiC8ubnVraymvZfNht3QkhTwpkI+7uxn8a6ueEdHoeXJySu9QsdHs9SVtS8H3txZ6jbjL2dw/zc+jdwenOQenFdn4W1z+17ZzJD5F7A3l3cBG3Df3gO2fSvLrW5uvDHiBLiSMrPZyYmjzw6fxLnuCOQfpXp2sWJ0/xHpWv2JzBdstrdf7SsMxuffoKmrTi1dG1Cq767HWqOKR1z1p8fKg0MOK5bG9yo0Q9KqXECSKVdQynsa0HFV5BSZrGTTuc3d6GCSbeTb/sPyPzrJn066jJDKnAyT5gwB7ntXYSfnXB6mt14t1i40q0dotKtH23cycmaT+4PXH/16IxcnZHV9clTjd6mTfeL7G1VYYhLfzKMERvtiH49T+VZy+M7qCZJm0RUQHkqXBx35IrrdT0C90XR5n0G0s4BBGXkkk+eZwBk44xnvzXCweLdahcNJcrcp3SVBgj6jpXSsPE4Hjal77HfxXMN0sFzbuHhmUMjDuKfqQ86YKQQUUBc9/WqOlXEGs6LJcaUqW1wGIaNh8scpHcDseuR/jWX4Y1WaS5l0LVmcXUbN5Tv97I6qT3PceorGrScT0IY6FSy6m7GxEQ9as2Q3TE/3RUE0TRR5YYIODirWljKSt6Cs07npx1jzIvRdavE7bYgdW+UVSh5NW8hmUdhWiMHuWoRhEQVe6L9KqWy5bce3SrpHyVSMJvU4fUo/L1S5Tt5hI/Hn+tVn4FamvxbNSEg/wCWkYP4jisw8iu6GqR8tiI8tWS8xgpc5pcCgLVGAzBBzTgwIpaQqDQINuelNGe9LkrT+CKAEwKTFHOacOaAGgigrkcUFM0mSDQAD3p2KXgimj60AB4pM+tP6im4yaAF6im4xThxS0AR7fSjBpASKcDmkMaQetLuIpw5pCKAFHzCkKjtSjiloARRz1pSMCgDAoJ7UAAOaWkx6UgbnFAC5zS5pKCKAEJ9KXfQBijANACdaUUmCO+acpoAkgia4mSFertiuySNYo0iQYVQAPoKwtBgDXEk56RrgfU//Wrdzk/hXLWld2PoMso8tPnfURz8w+tWV6VTLZkFW06Vgj05IVhxVOXgmrx6VWmWhjgyhKODiucvMRXkkhBwo3fKMmuikOzOehrn9UYwzmVY3kIXIRMbm+me9RPY1fws43Ufsera9ZWunTmSK4kAdQ5MauzYOFP3TjqK9r1Bxpvh+9kiGBb2shXHspArxvT5Yrv4iaXOtpNbqZogyzR7GLAnnH5c17Nrds134e1K3QbnltpFA6ZO0100/hPn6/xnkmi69q+oSaToVxfO9gZI1dNoy6DnazdSvHSuc1G6e+1C6upiWeeZ3Y59ScD8sCtTwyQniDTZm4QSLuJ7ZBH9azb3Trq11OXT3hc3KyFFQDO/ngj1B45q5cqqL0PKrtu68y7rmZrbSbl8s89godvXaSoz74r17w6q6j4C0vzxnNtGfxU8H9K8o8URfZLi0syQfsVkkT4PAY5JH617H4btHsvCOlW0gxIltGGHoTz/AFpX/dr0OugaKLgUMKmVeKa68VzI6mynIKrvVuQVVcVLNIlC6MqwSGAAzBD5Ybpuxxn2zVfTrKy8P2Fjp0ZCmRtgLdZZCCzE+5wf0q64yQPeuC+Klw63GkwKxGPNl4OMHhQf51rQWpNd6K51PirVLTS9CuXui+JEMQSM4diwxgenfmvI5LfTNS0+5l0+1ks7i0QSNCZTIskfQkE9CKXUpZW8NaWZJHkeaaaZndtxY8KOvtUGhcTX7EfKLGbdx7f41eqvK+zPOlUvNRNPwBeG28UpbEjyb2NonU9CR8yn6/41pfECxfTdSsdYtgRIGALf7ScqfqRkVgeEEZ/GGkBevn5P0AOa9E+Ilt5nhKSUDmOeJvzOP61rPdo6aeyZajeK/so7lADHPErj6EZpthEIbSbBz8+KyfBy3LeHbWWa7MkWwpFCEChACRyerHitwLstB/tuWrhtaR9Fh5NwsOibFW4eTVGLk4q/FxhR17mrRpJGjb9gOgq4w+SqtqtXJPuVojkm9TnPEUeYIJQPusVJ+oz/AErnq6zWYvN0ycDqoDj8DXJn2rppP3TwcxhatfuMY05TSFaUcVseeKeKaWxTic01uaBCj5qacg8Uo4p3BoAaPendOnWkI9KVVPegBuTml6ilxzS4oAiwQaeOlOppGelACjk0uOaACBQD60ABFKvNL1oA9qAIiKQDBp9J1FIYUueKaTil4NAC0maWgjK0AJ1HFFNBp4oAROOtIwyaecCkBoAQClNGaTvQAYzSqlOQZNEh20ANYU0DPejOVOfSvSrWG2n0iy3W8UiLCGRWQEA461lUqchtRo+06nOaSnk6WhI5kJc/0q6G4Jpk+yImNFCKnAUdAPaqMt4EB56HFcMp3dz63D0uWnGK6FzeDKBV+M8VhW9wJLhRnOc1swtwKcXcurGxYqOVcing0jdKoyW5mXCZU1hXi/Omex4ro5l61j3sWTms5rQ6Iu6My60bWNQntby1S1VbCUTQjcTJLgjIz0XjtXpw5AYDg8iue0Vg0IFbDGZIm+zlPMx8okztz6nHOPpWlKdlqeLiKd5M8xvtBg0HxOYrwiHTp5C9rO3CZJz5ZbsQfXtXXMwVfObywqjiViuAP970rdmxcqLW6so7i3kQ+bvAKHpxtPXP6Vlw+EPDCzs48PQKUb5QxLIeAchS2MdunarnyztzHnTwjcuZNq5zdj4KsfEM1vqsepCe0a5Zp0CZ8wKfuhvqOT6dK9Ff5nA9Dk49aRflQJGixoBgBQBge3pT1XAolO6sjanT5FYKaw4qTFIRmosXcpyL1qq4q9ItVnSoZrFlBhhgfQg1wnxUs2YaXeAfKryQM3puAZf5GvQpIs1U1HTbfWdKm028B2SLjcOoI5Vh7g1dGVnYVWPMjyJdIm1jwxbJagNc2Mjgxscbkbng0xdHuNE0O9luwFurwCCONTkqmcsSR69K6qO2u/DMZtdStZWjBOy9toy8cg/2gOUb1BqGW6TWnhgsNPudRYSKzKYmSPAPO526CqtLn30vc8rlnzW5de/QxfhxpzXXiprkD93ZQlyf9p/lUfz/ACrs/iMwi8GzqcfvJ4k/8ez/AErpdP0ew00zGys4rbz3EkoiGAzYx/nHFct45s73VbzT7K2smurW1f7Tdxhwm/PAQE98ZNazl1PQpQ2RheDodHi0uGWGeCTUnjJlAl3Mp9AvbjFdPcnAjjHZaekMW2IR2q2wflk8tUZfYgVMlqZZWnl6E/KvrXGtW2e/QXLDUit42I6Y960IYwDSKuKsRrWiQ5yLduuMVPNwh+lMgGBRcHCH6Vp0OV6yK0qebG8Z6OhX8xXDEFTg9Rwa7pT8yn2rj7yLy76dPSQ1rRe6PNzSGkZFbpSdaeTTcV0niiAUpFLRmgQmBilAFLjigfWgAK4pA1ONAAPWgBvWnEUFQDilHAoAQCgjmlBoHNAxBQadjFJjNAB0FIDTgKXAFAiAEEUduKbjBp45pDBgCtMGRTzxRQAY4oz2o+lGO9ACbaXpRSZoAUijGKBmn5GKAGGk5pxHHSnKoIoAahwaVwWoIrZ8PadbalfPFcuwRE3BVOCxz60pNRV2VGLk7I1/BYtzZ3aNGhl8wbyyg5UjgfTrXQiNIo/KjUKiDCqOgFVNP0C10u6e4t5ZjvTZscggDOavEfMfU1wVXd6Hp0VyxSZymsHyhIwIGFLEt0UDqTXBvq1xdJLOsTCIt+7I6sB1OK6fxNfJfzppcchSK4fNxID0gXkgf739RWTc2X7jcvJ3HYBwFj/hUD29e9eRUxPLLfQ+gwtRpIo6VrOL+3Dtx5gU+2eK9CibHFeWG1SeCa+YlIIEDmQcEnPC49civRdOvBe2FvdAYE0avj0JHI/Ou3D1FK5vXnGdmjWDUpPFVlfFP8yuo5uUZN1rMulyDWjK1UJuQalmkCTRZtkpQnviunUgjiuIt5TBdq3Ymuvt5g8YIPWpg+hyYqnaV0WhT1GaiDA96kVqs4ZIlApwFMVhTtwqjBj8UEUzeKZJLgdaCRshB6GoSKiMvzHmlEgNQaAy1E0YPaptwpCRRYpSZWk84ROIZdjlSFZhuAPYkd6Y8l0fKCtHtB/eAr1GO3pzU7EVG3SndrqaKKfQiV7jzJTJKpjJBjCrgqMcgnvzyDTJMYNOdwM1SuZ9sZPfsKmTfU2p07vQgiXzLl5Dyq8CpzzTYU8uEA9ep+tOzRFWR6VrKw5RzU8YqAGrEdWjKTLcfAqG7fETGpAeKo38mEVe7MKpvQzirseG5X6VzOqj/iZz+7Z/SuhVsuBnoBXO6kQ2pTn/AGv6VrQ+I4M10pL1KhWkIwKcTS4yK6jwBgpcCnYpCM0AIBijvS4NLigQmcmlwKMc0FcUDEI5pcUZooEGBRxQaVRQMTPqKMinECk2g0CEBoak24PWn4yKAItuRSEEClzjigjjpSGN25pcGlQ44pzCgCOnDpSdKXHNAARQBkUpHFIOKADpQBzTiM0AYoAQihQc07g048CgBpHeuj0rwzdzRQ3hvVtSwDx7AWcD19B9K5sEjpV601e9tUEcU7BB0VuQKiopNe6aUnBP3j0kEBcZzx1rN1a8jtrOQu2FKncQcEIPvf0H41zEfii8TiRI3+mQa57xPrzam6WW/wAmOTiVs/cQck/j/hXl4pzpR1W56tBwqPRlOUzXswvWQA3Ks6kHASMdD9GOcewFJbXFzvWOMbyx2qvv2q0LuOckhVRSAqIvRVAwAPoKt6ebSxt9Q1huXgjEag8jd1H+fQH1r5/mU522PTjNxVzJ1OITi30SMgxwMbrUZM4DN6Z/StjwzfiSGWzZy0kJ3jJBG1j0GOw9T61TsYXtYJLmZSXZGnmaWMhUcDhCT97cDtK+/tUNrbWPhu71e6NuyQ27IA/dA4z5X1Hf0ANelh5crTNFVR2oajfVWKZJY1dHDowDKy9CD0IqXdXpm61JGbiqkpqRmqvKeKC0ijccHIrZ0fUQ8YRjyKxp+VrPhmnt7xyi5TAbOcfhUWfNoZ4hR9neWlj0RZAalV65zT9XSZQrHDeh4rXjuAw4NPmPLkuxfElKZPeqocHvSl+Kq5g1qUtU1tbFkjRDLO/3UzjjuSfSmpq9nJGDLLPG/cFePzFZOr2s66iboKXjZAhIGSuP6VRabArNVGnqehHC05QVjdm1azQEpcO5HbYTVqC5EsaurblYZBrkHmJOADmt/SoZYdPUSjBZywB6gUc92TUw8YQvc1xJxSmT3qpv96TzPequcaRYaUVC81QPL71A8lFzohG5LJNVVD59z/sR8/jVe5ugi7V5Y8Ae9XbWLyIAD97qx9TUr3nY76UOVXZMxxUZamSSY71AZOtamli2r5qeNqz0erUb00ZyRe38VmXUnmX0cfZRk/U1aMoVSScAck1zt3emOF5R/rrl/LiH17/gKUmFODctDZt5A5MnYnI+lYMx8yZ3z95ia05JBb6ewHXaEWsYg9q6cOtGzxM3qJyUF0FKkGkzShiOtHDV0njC57UmRTtoxTdvvQIKU9KaVNOHSgBtO6ikI5pQaBjTwaUGnMMmmbSKBCtQKXGRSYIPSgY7GetJtxRuoD5NABzTlowKYxINAhAp60EU8HHFIOtIYgSlxzinNjFMXO7pQAFTSbcGps7RUandQAh6UD6UYwelBoASjr1oAPpTjQA3oaXOaMZpe1AACO4pGAByKVBk80504oAaORWZPpCzTSymY7n4wy5GPQ1pLkU41nUpQqK0lcunUlTd4uxgSW9xaspdMRA4zCuQB7DtTp7kyR2mmjBjEnnTA9D7H9K3OhyKovpULSvMmVkfruG5fyrysRlf2qR6VHML6VCW31aRdTQzSwW9oTvjlhgXejAcjcc84+6RWN47vUtdNstFgeUvK7XNwZTltzdc/Rdo/Op5ra5iuFL2im2Vg8jxyblwOeh5H0rjNXuZNQ1q4uJG3PnGP1/rXPhcNUVVKorJHVVrQcLwZ2XgbXsouj3D/MuTbE9x3T6jqPau4DgivClZ0YMpZWU5DA4IPqD616T4Z8VLqqLa3bBb9R16CYeo/wBr1H4ivVqQ6o6MFik/3cjrC1RScim780jNxWJ6iKsvQ1TGPMKkgZ6fWrkp61h67AbnRr6FM7zCzKR1DD5h/KiL5ZJmWJpe1oyh3RekjLHqysOjDqDVuxvr2BT50iuAeM8cfWvLtM8dalaReVcKl4u35DKSGU/UdR7Gul0q+bW7BLtn3SZ2zIOAj+gHYEciuiryNczR85h1WS9neyO/h8R2YkEc06xufU5H5itiK6SVAyMrD1U5rz6GzBxgfpWla2rxEGJmjP8AsnFcfXRHdZW1Z2ZZWFV5Le3Y5aJCfpWP9umtsCadCT0D4H61biumuF/dvC59FfP8qNxJyjsyyEiiOY4kU+oFNebuTUD+fjoB+NVpIpm70noVdy3ZZa5APWoHvVB+8KpSQS55JNZepa1pmiZXUZwJSMi2iUNKfr2UfX8qIqUmNuMVc1ptWgiB3yqPqay7nxJF0hVpT7DArkm8S2GoTvNJF9i3E7VLF1OPfrn8MVr2dk9ztaMBlblWzwffPeq9m07HZRdJxUrm7oK3OoXTXtxhYojtjQdC3cn6f1ropXCLiobG3Szs44l6IuM+vvUFxNknmrSsjrtqNll96h83JqB5MmkVsmgbLkb5q1G+KoRmp2mWKPe34D1NNK+xjUkoq7egt9cZQQBsbhlz/dX/AOvXOWE51bWBcFSIIBiJD2Hr9T1q5dyube4kJJOxmPvxUGkRm009cf6yQA/QVUqUuZI5qWYUlTnU6LReZpXkvmOEB+VP1Peq3ail4rujHlVj5itVdWbm+o3rxSbcU4Cg1RiJyaMEUmeeadv7UAJmnCjaCM01jtoAc3AzTc570gYtxS7So60DFPrSc0Bu1O2igAFI3FNZiDQMv1oAXINJtFKQVpB1oAeqk0gxnBpelIpyaAF460oXHNJjApFf5sUhgetLtwM0Op60hbC4oEIWzTkFMUZNTKAq5oAjPB5pMUjNubinYyKAEFBFLzQxxQAlKRTTmnK/agBF4NSdqawHWkB45oAaeO1OBoNJnBoACeacvSgDdRjFADehzVe80+01CLy7m3R16ggYIPqD61ZpSBSaT3GpNaowrzwlp1xGohD2zqMB0O4H6g9frXM33hrU9OPmonnxqciS3ySuO+Oor0POKUdiDg+tDimaRqyicronjUqVtdVy2B/x8qOR/vj+o5rsoriO4hWWKRZI25V0OQfxrH1TR7XVYSko8uTO4SxgBs9Of7w+tcydK1vw9I0+nymWHq3lDcpH+3Gf5iuedHqj18LmjXuzO7fkVRlAL4PRuDWRpvjC1usRXqC1m6bs5jJ+vVfx/OtW5YKVcEFSQQR0Nc8otbnt0a0KqvFnjPlFLgpjG3cMfQ4rT0LVLnStVSS3wyv8ssbfddfQ+/oabcRq15LIvRnf9SaTTYC9/wADopP9K2qPlg5HgQjzVOXzPZdINvqdolzbEhW6pJwyn096v3bfYLZ3RQ0iqT7Cqfgu1H9hs2MgzsB+AArU1l4LPSLuafCp5ZX3Zj0A9yawSvT5lvY0d/a8i11PLZfN1l2nuXZ3cGQbvmCruKjC9zkHOenAqexSTSruCW0lEUwmRPl4+9nBK9M8fiM5p9wumSRCSPURZs7Fmt7mIsu89SjKcjPfpmmwzWtpMivKZnBwrIgRI89TjqfcnmvOcpc1193/AAT0Vh6mseU9a0qePWdLhvI4/Ld1/eRH+Bu+Pb0oufIto2eZ1VVGWJ6AVJoMMdvpqIuGGMVU8UrHD4evXVcFlVc9erCvTl7tNye6R5MdanL3Z5x4x8cyxyGx0ZjECuXucYbnsvp9a83Cy3E+AWeSRuWJyST3PrWrrwI1WQeiL/KoLKPybS8vSP8AUxEJ/vNwP51dF80FJ9R1bRk0iBpF87K/cQbE+g7/AInmvQPh9LJcGSESs0MI3NEwyFJPBQ/nkH615unQD2r1b4c24g8PzXJHzTztz6hRgf1rSeiNcJBTqq/TU7C4mCLtBrKml96fdXGSeaz3lya5mz30iQvk1LHzVZTk1ZTinGLk9Dnr4inSV5uxYDKi5Y/SoZWMpyT9B6UxwWOSablhXbTpKOvU+axmOliHZaRHAEUhNKj7jg05k4rQ4bkJODTsZGaQrSbiKYh4I700vzxRgEUwDDc0ATFQwzUZSpf4ajPWgAXOMUpHPNKDxSE5NAChQtL1prAjmlU5FADSozSgEikP3qdnFACADPNLwOhpActQwweDQA49OaZTs/LSAUAB6UgOOopScikGc9KAHkVEw2tkVKSDxSbQTSAFlBGDTmj3DIpjqMcUI5AxQAm0qaUvlcVJwwqNsA4oAQDFOLAU3oaUjigAFDDnNC+9LnPFABkFaRcUpHGKUDAoGNfjpSIc0dadjZQIViAKZjcKCd1OAwvFADQSKdmk6nmnY4oAOozSDrSHili5NAA1IhycUsnBojA60AK3FInJz0NOcBqjIK9KAKWo6HYapkzQhZj0lj+Vvx9fxrm7vQ9b0iFxYXD3Frg5SMfMo9dh/mtdgrkNU+dwz39aTinua0604axZ48Ey+MYxwa1tBtFa5ndzwu0H1xnJ/lW540WMT2W2NBK+5ncLhmA4GT3qHwt5zXdxbxIjxmMzOvl7n+Xgbe46+9cOOT9hLlPSwU17SMmeieGL/TbHw7aRT3sMczbnaNidwZmJxjHWsPxfdXGqXyw20c0llCoZGjiYh2I5bp26VR8Tag+kWNvPo9zcW0082F81FEpjC/M3IyBu6HjNcyfE3iE9dZvM9PvD/CuWk69airJJbdeh2qrTw9fntdnWeE9Jsmne91YxwlTiK3uVKkY7kEd6yfE2n29pq832eWOS2lJkjMZ3AA9Rx0xWT/wk3iHGP7ZusA9G2n+YpF8T68pJOobvXdEp/pVyo13FRSX3s0pZlyVXVd3c9W8F6kLrQoGmmjVsY+dwpbHGcE55q54rMcuhmEOp8yVBhWByBknpXk9j4h1K7vre1lhsZxNKqfNDtPJ9RXXXRtbS1vbu1iiea0BYIW2s2PvH2H8658TXqwh7GUdX1uYQjCdR1Yvrc8319Q2v3uOiybR9ABUV7GYfBkrj/lpcoD9Bk0SkzTySngyOXI9MnNauqW4bwKyAfNv3/lXrU4csEvI4pyu2zkIGEig1614VnWDwZYAdw5OPXcc14zbTFGrXjnkMWxZZAhOSgcgflROPMjbC4hUZczVz0m+1u0t2IluEDdkU7m/IVnReI4Xu41a3mMBOGK8v9Qo6/TrXFRkL0GPpVuCdg6lWZXU5VlOCD2IPapVJI1q4+rPSOh6iphaFHgKNG6hldDkMD0INPRcVyGk63NC8jSRb7XHmTmJcbCeDIB7nqBxnniusSRJI1kjdXjcZVlOQR7V0RtY8Wqpc15O5KykcimAg8EU5XPSlO0mqMiMjDZFLvalkTuKaCVHSmA8fMKQgDrTFYhvap2G5c0ARBfSmkUuSvFAOaAFBPSk6mlPtSAnvQAoPGKTODTsjFNzzg0AO6ilyAM0n8NNzQAgOTkU4nikUUHP4UAA4pWoBoY+lACZ4pRSUoNACHrTl5ppzmnKO9ADc0m409cY96aACcUgHBsjmm4weOlOIwKaGyaAFDEGgnJp20YyabgHpQAowaCMU0HFOzkUAIBzQV5oHFOoGN6DNODbqQjcKYp2NzQIdyGzQ7ZGKfuV6Y0ZFADVXNTcKvNRKSDzSud1ADc5Y4p+CelIAB1p2cDigBGGTinqNo4pgJNKTigBHpFOKUc0BcUALz60hOaXODSEUwGkY5pwfFPA4ppGTxQBxfi2XzdbjTtHCo/Mk1QsluGvYFtHdLl5FSJo3KsGJwMEdOtO1ib7Rr124OQH2D6Din6abpdTtGsIzJeLKHgQLuy45HHfpWT1O6npFEV+k/wBvuFvJWmuY5DHJI0hckqcfePUVVIxU8kjTSSSucvIxdj6kkk/rURFJKysWRkU01IaYaYEZ9emKu3Gr6pc23l3F1M8EnykkY347Fsc44qk3SrE1+sukWWnhSGtZppWbdkHzMY47Yx+NZzhGTTauNSa2ZCgyQa3rkBvDxTtisKHrW6Pm0plrRCMtfBLap4Yjv9NjY36O4ePPyzKOm30Yfr9a5WGR4nKOCpBwQRgg17F4JcyeEpY1+9FcMP0Bqj4y8Ff2wralYKq6gEDOg4E47/8AAv50WIuedI24cU8FuOynqfX/AOtVV0uLG5a3u4JIZY2w8cilSD6EVa8zzTuJyaRZqWty8MiTQuUlToR/np7Vs6HqE9kkrACW0Vt00CffjB/5aIP7vYgf/Xrlo5Cp61ejlPDKxVh0IOCKNtUJpSVmemQyRywpLE6vG4yrr0Ip2QWrB8EyWr6fqCSTN5kbZWJcnaMcMR6E5HFbUbrIzAKwZTyCMfiPaphiacpunfVHPUw04Lm6EpP5UvBFJnjpSKcnFdBzke05qTOFobik60AIRQBgdKUj0pQPWgBvSg4NPwKMCgBgWlwKXFJigAY8YpAOxpxFAFADcYpc+tOFGBmgBm3mlxgU4rjpSUAJgYpAvNOFGMGgBDS9uKMUY4oATFCr3pOcU4MOlIBpPOKQLg5pWGDmnbhsoAazZGKEHWmAZNTIvHNADDzSgcU1yN3FLk4oACcGlU5pAw707A25HWgBDyaQJk80pBHNND80AIw2NkVIJMjBFIcMKaOKAJCmRmo8AdKcHoxzkUANHvTgDzikHWnZwKAGqecGnMaaCc9KUUAJwDTwQVpjAGgHbQA07g1S5BFN+/RgrTAdk0yWZbaCSZ/uxoXP4Cl3c1leKLjyNDkVT807LEB7dT+gpMcVd2OHjJdy7feYlj+Naek6idI1SK+WIStEHCqTjllK5z7ZzWfEK1tIvILFdSaZXaSexkt4NqghXYjk+gwDzWb2PQMtRtUDPQdaQ07GBimmgBpFMP0qQ0wigCJquXlzayaJpNvCB9ogExuD5eCSzAr838XH5VTerV7HaJp+ktb7DPJbu90VbJ3+YQAR2O3FTLdAQRcVs2rbrZl9qxYu1a1o3yEVQG94BuDG2q2ucAbJgPzH+FdgJ+QvBHTp2rzvwzP9l8VeWThbiJ4vxxkfqK7tDkg1SMJtplTxj4TtvEGjm8ULHqEKgRyf89F/uN/Q9vpXi7xzWVw0EyMjodrKw5Br6Lucf2BMfYfzrzzxP4dXWITcW6gXyDgdPNH90/7XofwpWuHtOVpM8+VgwyKnjkwaogPDIUYEEHBBGCDXR+G9AfXJnkkmFvZQYNxcsMiMegH8Tnsv4nis5zjBc0tjeKctEXfC2kXGo6xHeRzPaxW5y8yNtJ/2c/zr0K9hgv8AUZR5TxwW43RspCu7kkM3PQ/dwPT61maRLb526fbvFaQOBApYbnwCSSfXjr6k+1aZO+4VgQvOWCNvVvXIIBH+8M/SvnMRiHUqOVrdj1KdNQjYiuI1tyu6WNg5wCD/ABehHY1CAc5Fa8+lxPZtcEGV4kJjyMbj7/T/AAHc1kRSLJxkbsZ4PDD1FevgcY6i5Km/5nlYzC8j54bdfIeW3CkIpduDSMCK9Q88O1HUUA5FKRxigBAaXHekCmk39jQApzRzSjnoaM44oENyc04kCk/GjBoAM0vWm4JNLytAC8460mDRuB70vSgBuSKVaXOaTHpQAEE0nIpc4ozmgBD0qPBR+alPA4phUsaQyTKsKY6nt0ppTbyDUiyZXkUARqSDUhb5OKUrkcVGRg9aAEA7nrTwcik5xSgZoANgJpCCDSlSp4NPGSKAGk54ppQZ4pxBWmk9xQAHilpM5HNOHSgAKgUA0v3him4KnGKAFxmkz2xTivFN245zQAqgg8ilI64oEmOooOG6GgBpGTRilPFJQAoBU0pNGcCm8n2oAXGK5HxfPvu7W2B4jQuR7t/9YV1oJ3Y9a8+1m4+1a3dSA5UPtX6DilLY1oq8rkMQ4rTg+xrouomXyzemSBbYH7wXJMhH4YBrOj4Fac9hFD4c0+/3P9ou7mePbkbRHHgA465LE81m+x2GY1R1I1R1QCGmGnk1GxpARv0qzqFitlFpzq7M13ZrcsCANpLEYHtxVVzxU95ZSWa2hkdX+02y3CbSTtUkgA56HjtxUvdARRVp2R+esxOK0bE/vBVCEkkNlq9tdD/lnIr/AJHmvTUxv45GeK831mLBU4HNd7o0/wBq0qznJ+Zolz9Rwf5U0ZVVrc6S4XPh+XPoP51zLoRXUXYx4ek/D+dc2xJGKpGNXc5XxN4cGoMl3axATHPnkH7wA4OPX1NQaP8AZJbL+zriS4ihDfu/KdUXcerNn6V2AXHIrD1ewEERuIlUxg/MO657e659en0NefmFGUo80eh24GvGL5JF2C3CkRW7DIARcZBb2Hb3zxxWtfSHTZY4ZpQ91IMCNOg9Ppx69ue4rl7DXZbQCUHzHUHYJBkgerH+6PQ1rWkYkiluZ5DPdzfflbJ98D2/U183NKCbe567vc1rC9a6slZWO1xuyVIz6cH8abNaJMS4wjAFmYnG0DktmqUNzJCAqoJHaQB97Ywv973x6VpoQ8qiYBkJGIv75Hr7A9u9TH3pJphboZ0MV4kSSXahRKN0a7cHH+cU8nIrpn0VNRHnNPIkhAAP3lx2GO1UbjwzfxEmMJOB/cbB/I19bhqlqaU5XZ4WJoS524xsvIxcY6UFs9qlkhlhcxyo8b/3XGDUX1rrTucbVtxQxFB2sc4opDx2oELgdjQU560mRSk8cGgA20hyKUZoO6gAzzS7s8NSd+aOtAAAtG3I60maBigBQlGCKOc9aDnFACYzxShOKQE9zQM5oAQg0m/FODDbimsnfNIYp+YU0cHFKBgUZoAcrjpSEZOaNvelHFADe9L0pcZpOBwaAEz3pQT2pMDpSjIoAXLd6DQGzQVIoAQilPTikBIPIp5oAhBIbNWMggHvUWMc0DOaAJODSBOM5zQpUkg0nzB8A8UANxk4NKRgU9hg0wg0AA6Uo54pKMYORQAHigfMaU80AYoAivJPstpNcH/lnGW/SvM0yzlj1Jrutcux5LWbMqpKg3NgkjnjH5Vj2uh6a8bSy6k8UY6uYyVH1OK4q2NpU5csvyPRw2FqOPN3M+ytJry5htreMyTTOERB3Jrf1jwm2maO2pQajBexwP5d0kX/ACxbvg9wD+fqa2vDmjabp+sWupReIrBhCSfLmG0nIIxnt1rd8S6OJ9CbSbfUdPtHldGYXE4BMSkkIuegySe9ck8Y5VF7N6HSqNlaW55KyZqFhiusl8HXqf8AL9pR+l2pqnJ4UuwxBvdMBHUfa1z+Vdf12gt5GfsKnY5o1GTXRv4UvP8An7sPwnBqE+FLzPF3Yk+03/1qX13Dv7aD2FTsYCo0jrGiMzsQqqoyWJ7AetbV9oOtm2jmuRFKLWERiOOUM8ca5OMAc4yemTWhoehXWna7aXks1m0cTnIEuTggjI46jNdbY2UcEjTLGpcnDMASduOg7Y/xrixWY8k4qk0zalhrp855SnOCKvWZxIKnPhbXIshtNl7n5SCKkh0bVYnBbT7gf8AzXorEUn9pfec7pz7E+qR77VWroPB0vmaKIyeYpWXHseazp9L1KazwlhdvgfNiA8VP4RD2NxcW10jxGUqYww6kdqqNam3ZSRnUpy5b2PQ77jQTz6fzrnM8muj1Q7dDUDqdv865wDNbo5Ku4u0MKY0YKkMAVPBBoxilBPSmZGHqenNby/bbQbccuijGPce1Ms7wqgY/6nozbh8p9MdefWuh4YYrBbRZ11RpYxGkW4lGJyE+i+teNj8v9o+amtz1sHjEo8lR7GzEUtzHJKnmXcozb23cA9Hf0Ht1PtXRabo0qIbi4O6R+STWDp8cVhciXa0rE5d3OWY+tdpZ6tazxZWVcj+E8H8qzp4H2OskdMcXGovcHQ3kUWEJAI9TVn7TAy8n8q4jUmj/ALUuTCxaIyEqc5+v61WMjNjLMfqTXoRw0mtzili4ptWN7W9TRxPYbBMVI2yn+Dvx79qwDSqMUhFdcIKCsjhq1HUlzMQ0c46UoHGaM8VZkN470uFpxAxmm7c0AGDnig5BpQcUpPGaBjc8cikH0pc5NLigQhPqKPlpeCcUEc4FACYGPlpORwTSqMGnDB60DG/LRjjijbkUD5aBCEY7UmeKXce4owDSGN3ZpQKTbxSgYFADge1MIIppY7qnXDJz1oAaOVyKaVJ5qTjGKQKc5oAaStAG7oaa3uKfjI4oAaVKnNOzmjbkdaNhFACbS1HSpFwF96ZtA5NAADmgigAMOKUqVoAYQynPWpI2B+9SZzxik25oAcykngim5ZeopMMB1p6yZ4NACKVPXrSlfSl2rgimZIOKAHYoGM470A02ciON5ckbQTwKG0ldjSu7Iy7mA3lxIqqS0oCJx3yMGuksIo4JBaqkTWYKxSK3LOHyN57FScjH0NYtneI95E4gljVA235dxzgY4HYCtyGdXiUR29yWErMwEDcLxj+WR9K+Oqz5puT3ufTxi4wUUaGlwxRafE01uJDbuYQmwZkdSQOT0AAzVrVorfWNNkuTYQtfaeFuYtxWUOh64YdQQCPqBUdzcxTyW8RimW3YHzWaJhjcRu4xzwMfjVq1urSLXJAqBbSQSx5xgbGAIGPTO7866KcopWMZJ7kV1Y6JaJa3sOmpNLcYNrHGoLOSN2RngY65PT8ax9W0qzvonvTYRi7teWiIUk55+8v3gfWta98i51yKDy2+yJEsKbQQCg+ZwPrhR7gGqkLOl7PGInji2SxoNmBtyCv5EnFZzcdkVG+5jnR9HgtYb+KAymYYhi+8Gz7dSf8ACsvUbCKeNmlhSMI21mjwGjJ6fd6jityQFGggj3IlvCkEZIxlmO0sPoNx/GqSwGVJIkiVIh5kKrjHyEFlJPfBXr6muV73TNk31OetLCB5GLxMqxsFYBySSegHPt19K1DFayskU0WwYyDFuj2/RgefxzTLSISzRAlgG/eNlcEHAB/QZ/Grz2+UmePLOm18MenIG3HphsfhTu3rcGN/si2QIgkvFdv4kuXzgdSATiplWwmn+xrPNDIveOR1Jx6Mfve9SpBI8jMCRIIPJ5OShDYz+Gf0qeWxUQs2wp5RVAvJA28A/p26g1a1JuPt7GFdTvvMvNW/suyVYnhFyzNPM3TaPxGPzrmbywmtNTa6gvZ5rVlSa1eT733iCGB6EEYIrvoY45Le3JR99zIRKVzg7U2546Ha3Wq2oaUE861Eb7UnZBI47Efz4BruVlFSW5le7aY7VSP7MiHZtpx+tc2z/Px0rZ1GX/iXWakg/KASDkcD1rIwua+jg7xTPBrK07BuyKCuRQUxyKEfnmqMhmDnin5pT14puKYC5FJgUhIxim554zQA4rnpSHg80JkNTpFyKAAg4yDTc+tOTIHWkIJJ4oAOccUgBzzSgY60jHuDQAHg+1KTSKxz83ShwCwx0oAB1p1MORS89M0ALkYpR8w4o25WmoCGoADnPNKPY0rAk9KaFOaAE5B5pxHcUN0600Mc+1ADs8UnelfBTjrTeQKADcM0HNIUI5pwPy4pANzj6U/jHFNPPFAyBQAhAJ6UZx0pwNLgelAAME80p3K3B4puFzjvS84oAfs3Kc1BgqeBxUgJU8mlLZ6UAMDY608nIpOOuKTjqKAF6fWkZs9qBg0u0etACIMGpcfLUZbaQM04E0AJnPamsTninvnHSmgcZNADlG7ikZewFIMqcg04bjzmgBmCKcrLTsN3oHl59DQADjkVDNIIoJXYAgKeD0NTnIHy1navJ5doAeC7VlXnyU5S8jWjDnqKJkWtpJO4P2iRCT0DGul0/Sr4zSiO+uoVRtqt5x+cY+8MHj6GszSIme4AAyQe1dzpsauilCGyc5HIr45OU5M+ll7qK6aXqkUMki6vqLbELFY58scDOACOpqe2sdXmsopxrOqwtIiv5cyxsyZ/hYY6iuitoV2fMAABnPYD1q0Ywq5A4HIzXoRoaHLKpqcXqL6rp1lLcz+JG8uPG7fpobqcDheT1qtdjxDC+z+17WQ+1uV+ldlcRDIG3OeB9azLhOW3jkdqxqwlbQuMkcZNc6+kZ3Xlu685yh4FU01DWXgjuIri2aKRdyNjqPXkV0WoJiJl6Bv1Fc/cNkhcYA4A9PoK4JTcXZ7nRFXI21XWywWTyGx6hT/SmpqmpSu8axWLyLwydCM881Hnk8ir9tCrOJNq574HXjHNNVG3aw2rEP2rVj00+0z9W/xp6PqTzeWItP8ANwCVLSBtp4B69O2a2EGO3tQqIZvN8tfNKhC+OdoOcZ9M5Na3IHWWi67fRgLa6VIPR7mYf1qG80m7+wi5ew0Z4pRkSw3Esm7HXvg9P0rsfD0m115zn9KteILGFNPSGCJIolB2qi4AzzwB+NehGleg5Lc53UftOU84htVhso3UqPOJcpGMKuOOPf3pMce9OUsFMR6RscfjQQK97DNOjG3Y8XE39rK4LnHJo203pwaUHB4roMAJ2HBoOD3p52SDDcGomjKnrkUAKAKUDnpSACgZBxQApwDSEsfpTwBj1prGgBEBDZ7VI7YGRTFPrTyuV45oAhZjSKpfvUhGOooCjPFABtwOTSEe1OK+9NO4UAIcil7Uo5PtSkjHSgBu444pMEtS9uKAeaAJcjbmoWYmpQARxTCuDyKAIgNzYqUJgHmkwDzTtvvQA0jA4FJg0pDLQCc0AJ8zdaQKwPSgNUmcikAiDnmkYZajHvQWHpQAgXsOtOB28EZpg65qTI70ANKbuRSheOvNLgig+9AAQehppQjkUpBpc56UAJuyMGgJtOc0v3uMUvagBDtzzxTSncGnYzgGkPXA6UANCZPNO4XtS4IHWgk8UAITk07BUeopuMjmnc44oAYeTT1A65pwXjNN2k8gUAITzShFNLyO1CnJ5oAQx45DVm6hFeSygqpMSj5Sqhq1WApu3jg1lXoqtDkbsa0arpT5kjHtHktHDC4aJx3aE8V0FhrCwIoXV7WLAwA0RAH6VXw23hj+ddGljFcW8bOoYMoPIzXi1srjSs4yZ7FDGe2upK1iGbU11KwmsrjVdIuLWdCksbSeXuB7Z7Vei12eKFYxd6VhAFUC4XgDgAfhis+TRIv4Pl9sAj9RVKbQ8DgRH/ehX/Cs/q9RKykzf92zV1Ka51axltJ1tJIJQA/k3QViM54IPFNvL+9PDQ2w6AHzx0Hrz1rmrjRSOB5QHtGBWZJoihyzO59gcColQm1bmLUY9Df1Dz7y3eI+SgYY3pMMis+e2kKRKJIsxoE3NKCTjuT6moodOt1t03wIx7k5yak+wWX/AD7L+DN/jWiyepKN+ZanG8whCTjbYg+xTA/egbPYSCrUEdxFLK/LhjlU8wbUAHQY/PNWLfw/b7D5lojknO4Ow/rUh8OwHpCF/wC2jf41yrAzWzO32i6jRLcbQBa5AHXeKaTdGaOUROoUMNgcbWzjGe/GD+dKfDcIPLSfQOf8acvh+EnrL/39b/Gn9Sqdxe0ibGl6nd27D/QpGA7AE/yFXrq/v5Fumj0+8lFwwcqVbamFxhcgYBxn61jQ+GoGxlp8e07j+tKNEsxcPFLE8oVsfvJnP9a7KGErOPJzf19xz1atOLvYyGecXMgnt3hZznDY49qeOOtNMMMdxIYYURdxwFHQU7Ac8cGvXwtKVGmoSd7HkYipGpUcoqw4qG6UwIQacAQMelJnHWugwEYkt0pVYYwaWkJx2oEIAAT3oJqRcH2ppU96AG85oK5pdpNBJpgG3sKMFKUGggk9aAANu4I5pNozincn2pCMHB5oAaVOeDS5oxzxQwxSAByMikwSMUAkCnAigBu3IpQuF4oz6GgNigA2FeaXec4YZFB570oyBQA0qBSFfQ08jHNNIz0oAQcDHegYJ96cV4poJzQAwgUYHY04EY5HNIUPUdKADGe9IVJ70/aPoaayntQAD5RzS5yaaQSMGlVdvegB+e1JzRnJxS9sd6AFUjHUUhTHQ0AZPSl20AAU9qQq2cEcUu3ng80ZYP8AMeKAG9OlO6DNPwMZxQcY+7QAzaD3o+XpinDaexpCFoATocUpHFJtGetSbenNAEQOR1wacuR3pCo3YzzTtvH3ulAC8tx3qLBU1MSMfSmYUnOeaAAcrSU7B4xzSc56UANxzXVaRIJNOi/2QU/KuZKccV0PhsLLb3EWcMjhgfYj/wCtWNaDlHQ6cNPlnqabLxVWZeK0GhcDgA/Sqk0T8/Ka5HB9jvUkZU6A5zWbNF1rZlhc/wAJ/GqxtSzDcRjPQVm6UpdDVVYx6mNs2kZPFJtDdKUjczfU8U0jaehr1IqyseJJ3bZ0mnAS2cTnk4wfqKuGIelZ3h5mlimiGDsYNg+//wCqtowyf3a4Z02pM9SnVUoJlFohTUjG6rbQyf3aasDZ5IFT7N9ivaLuSQKKzr5B9rmIPIPT8K2oIVHJy31rD1x/Iubl84Mjqi/lXRThy7mM5pmHdRCK4YD7p5H41BsPbGasSkP5e487AKi2YPDV0o8+W4gV9uMUmHH8OaUFs4LcUZYHhulAhOccrScVMrk8HmmsAelADBjHajBwQaMAHkYp4IPINADRuUf40jOD2qXAxk81ET83agQowR05oC45oYDHvSLyetMA4Y88U7AxwaQg544pQOcGgBmCD1px6ZpSoAyDzTcnGBSAaV96MYFSDle2aCPl5oAYAM0jL6U7A6ilagCMHGKeSG4o2c9Kcy4HBoAFAA600g560oyPel2g8k4NACDpzTSuaM4yO9OXkc4oGR8Ec9aUccGk2nqRSkn0oEIeRg0fc70dBmlxuGcUAIAc56075CDnijGeRQFGME0AIFGPlNKIyDmlXK9elOyOvNACbcd6UoeopCAz7hSF8etAx2B15BoKuw6ZpF3yMQDwKkTMffJoAizxjoRTg4AxyaJH5+6DScEY20CF+VhnOKUoM9aFUZ5FJIBuGw80DGs4zwOlEbsSc8CpPuD5lH1poZd3PANAhPLDZJfJ9qbjaw54NSlVQbhTGXIyetACDqecinAHPA+tN+XoetORhnAzmgBrSEPgcUokp5Ak4OMjvSMgjA70AKGX6E1s+HCY9TkQH5HhP5gg1iZU9cr71q6BmPWYMtkOGXr7f/WoexcH7yOuNVpatEcVXlFZHUZ0vWoVXLVPKOaYgwGJ6BSf0pDOY27hkHmkAIHOc0m9SF9hTiARkMa2OIv+H5vJ1ZFPCyqUP16iuwPSuCjkaGVJU6owbJ9q70EOodfusAR+NRLc3pPSxFJ0qAfeqy44qvj5qk2LcNcvr0rf2vdQFcgCNlPpkda6mHtWHrVusurEcB3iXk98ZoE9jnpVwI8/3M/rUWATnNWLttt00YHC4Xj2qEtgj5QwrU5JbjSMc4zTSwJ9KlOzb0xRtXHNAhiAdjzRtAPXBp3y+vH0oKK3O/AoAACTzTXUADnNPHyDhsmjlvlwKAEBbGO1NZaeyY7YpuT3JxQIaOTgjilOFORSjnJ3DFNxxnGaYwyTn0oBxS5yOlBTjjikIQY/GkK/NjpSqrfhQRgHsaAABozxgj1pdwz15phbPQ9KXaWAboKBigA96QjDc0KD06j1pccUCDdQMfjQU444oAb6igA6NgUnGeaP0pCO+aAAnjijaVORz7U3cAaA5IoGO+Yd6GduMinbcqOeaU5IwRmgQm0HnFLhQKavGR3pwYAfMfwoAaAufvEUFQe9PADE7cZo8tuKAIyp6bqeFbGDSNgDB601ZOcAcUAOKlOQeKUksB2agjeeDgCjJBAIyKBiKGVs96kZmHUZpAoJ+U8elIQV65P0oAQBWJ6g+lOXkEMuMUgOWzg5+lPIOKAI2zxt6UJtduFOfWnouwnBGD1FLlQePloARvl4Jz7U0Bc8jHFKAxGeppCSowymgBgZn4IGKeAF9aTCEcHFA+Y/ex70CADJzkUhyfTNOK5PcgdxQfl57UDGrkGjJB608KpBwDmmkLjPIoAXdxkkfSrelSqmrWjYwPNA/PiqOM+9PjkMcit3Ugj8DQxp2Z6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-    ],
-    [
-      172,
-      67,
-      2,
-      74,
-      5,
-      "INT"
-    ],
-    [
-      174,
-      1,
-      0,
-      74,
-      0,
-      "COGVIDEOPIPE"
-    ],
-    [
-      175,
-      75,
-      0,
-      74,
-      1,
-      "TORAMODEL"
-    ],
-    [
-      176,
-      60,
-      1,
-      74,
-      2,
-      "STRING"
-    ],
-    [
-      188,
-      73,
-      0,
-      60,
-      0,
-      "IMAGE"
-    ],
-    [
-      193,
-      1,
-      0,
-      56,
-      0,
-      "COGVIDEOPIPE"
-    ],
-    [
-      200,
-      1,
-      0,
-      80,
-      0,
-      "COGVIDEOPIPE"
-    ],
-    [
-      201,
-      30,
-      0,
-      80,
-      1,
-      "CONDITIONING"
-    ],
-    [
-      202,
-      31,
-      0,
-      80,
-      2,
-      "CONDITIONING"
-    ],
-    [
-      203,
-      73,
-      0,
-      80,
-      3,
-      "IMAGE"
-    ],
-    [
-      204,
-      74,
-      0,
-      80,
-      6,
-      "TORAFEATURES"
-    ],
-    [
-      205,
-      67,
-      1,
-      80,
-      9,
-      "INT"
-    ],
-    [
-      206,
-      67,
-      2,
-      80,
-      10,
-      "INT"
-    ],
-    [
-      207,
-      67,
-      3,
-      80,
-      11,
-      "INT"
-    ],
-    [
-      208,
-      80,
-      1,
-      56,
-      1,
-      "LATENT"
-    ],
-    [
-      209,
-      30,
-      1,
-      31,
-      0,
-      "CLIP"
-    ]
-  ],
-  "groups": [
-    {
-      "title": "TrajectoryViz",
-      "bounding": [
-        758,
-        998,
-        1508,
-        1090
-      ],
-      "color": "#3f789e",
-      "font_size": 24,
-      "flags": {}
-    }
-  ],
-  "config": {},
-  "extra": {
-    "ds": {
-      "scale": 0.513158118230707,
-      "offset": [
-        1119.103710663005,
-        88.72790106693894
-      ]
-    }
-  },
-  "version": 0.4
-}
\ No newline at end of file
diff --git a/examples/cogvidex_fun_5b_GGUF_10GB_VRAM_example_02.json b/examples/cogvidex_fun_5b_GGUF_10GB_VRAM_example_02.json
deleted file mode 100644
index 40c777c..0000000
--- a/examples/cogvidex_fun_5b_GGUF_10GB_VRAM_example_02.json
+++ /dev/null
@@ -1,622 +0,0 @@
-{
-  "last_node_id": 51,
-  "last_link_id": 114,
-  "nodes": [
-    {
-      "id": 20,
-      "type": "CLIPLoader",
-      "pos": {
-        "0": -26,
-        "1": 400
-      },
-      "size": {
-        "0": 451.30548095703125,
-        "1": 82
-      },
-      "flags": {},
-      "order": 0,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [
-            54
-          ],
-          "slot_index": 0,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CLIPLoader"
-      },
-      "widgets_values": [
-        "t5\\google_t5-v1_1-xxl_encoderonly-fp8_e4m3fn.safetensors",
-        "sd3"
-      ]
-    },
-    {
-      "id": 31,
-      "type": "CogVideoTextEncode",
-      "pos": {
-        "0": 497,
-        "1": 520
-      },
-      "size": {
-        "0": 463.01251220703125,
-        "1": 144
-      },
-      "flags": {},
-      "order": 5,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "clip",
-          "type": "CLIP",
-          "link": 108
-        }
-      ],
-      "outputs": [
-        {
-          "name": "conditioning",
-          "type": "CONDITIONING",
-          "links": [
-            111
-          ],
-          "slot_index": 0,
-          "shape": 3
-        },
-        {
-          "name": "clip",
-          "type": "CLIP",
-          "links": null
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CogVideoTextEncode"
-      },
-      "widgets_values": [
-        "The video is not of a high quality, it has a low resolution. Watermark present in each frame. Strange motion trajectory. ",
-        1,
-        true
-      ]
-    },
-    {
-      "id": 44,
-      "type": "VHS_VideoCombine",
-      "pos": {
-        "0": 1842,
-        "1": 345
-      },
-      "size": [
-        855.81494140625,
-        881.2099609375
-      ],
-      "flags": {},
-      "order": 8,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "images",
-          "type": "IMAGE",
-          "link": 97
-        },
-        {
-          "name": "audio",
-          "type": "AUDIO",
-          "link": null,
-          "shape": 7
-        },
-        {
-          "name": "meta_batch",
-          "type": "VHS_BatchManager",
-          "link": null,
-          "shape": 7
-        },
-        {
-          "name": "vae",
-          "type": "VAE",
-          "link": null,
-          "shape": 7
-        }
-      ],
-      "outputs": [
-        {
-          "name": "Filenames",
-          "type": "VHS_FILENAMES",
-          "links": null,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "VHS_VideoCombine"
-      },
-      "widgets_values": {
-        "frame_rate": 16,
-        "loop_count": 0,
-        "filename_prefix": "CogVideoX_Fun",
-        "format": "video/h264-mp4",
-        "pix_fmt": "yuv420p",
-        "crf": 19,
-        "save_metadata": true,
-        "pingpong": false,
-        "save_output": false,
-        "videopreview": {
-          "hidden": false,
-          "paused": false,
-          "params": {
-            "filename": "CogVideoX_Fun_00003.mp4",
-            "subfolder": "",
-            "type": "temp",
-            "format": "video/h264-mp4",
-            "frame_rate": 16
-          },
-          "muted": false
-        }
-      }
-    },
-    {
-      "id": 36,
-      "type": "LoadImage",
-      "pos": {
-        "0": 227,
-        "1": 700
-      },
-      "size": {
-        "0": 391.3421325683594,
-        "1": 456.8497009277344
-      },
-      "flags": {},
-      "order": 1,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": [
-            71
-          ],
-          "slot_index": 0,
-          "shape": 3
-        },
-        {
-          "name": "MASK",
-          "type": "MASK",
-          "links": null,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "LoadImage"
-      },
-      "widgets_values": [
-        "sd3stag.png",
-        "image"
-      ]
-    },
-    {
-      "id": 37,
-      "type": "ImageResizeKJ",
-      "pos": {
-        "0": 688,
-        "1": 708
-      },
-      "size": {
-        "0": 315,
-        "1": 266
-      },
-      "flags": {},
-      "order": 4,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "image",
-          "type": "IMAGE",
-          "link": 71
-        },
-        {
-          "name": "get_image_size",
-          "type": "IMAGE",
-          "link": null,
-          "shape": 7
-        },
-        {
-          "name": "width_input",
-          "type": "INT",
-          "link": null,
-          "widget": {
-            "name": "width_input"
-          }
-        },
-        {
-          "name": "height_input",
-          "type": "INT",
-          "link": null,
-          "widget": {
-            "name": "height_input"
-          }
-        }
-      ],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": [
-            112
-          ],
-          "slot_index": 0,
-          "shape": 3
-        },
-        {
-          "name": "width",
-          "type": "INT",
-          "links": null,
-          "shape": 3
-        },
-        {
-          "name": "height",
-          "type": "INT",
-          "links": null,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "ImageResizeKJ"
-      },
-      "widgets_values": [
-        720,
-        480,
-        "lanczos",
-        true,
-        16,
-        0,
-        0,
-        "disabled"
-      ]
-    },
-    {
-      "id": 11,
-      "type": "CogVideoDecode",
-      "pos": {
-        "0": 1477,
-        "1": 344
-      },
-      "size": {
-        "0": 300.396484375,
-        "1": 198
-      },
-      "flags": {},
-      "order": 7,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "pipeline",
-          "type": "COGVIDEOPIPE",
-          "link": 113
-        },
-        {
-          "name": "samples",
-          "type": "LATENT",
-          "link": 114
-        }
-      ],
-      "outputs": [
-        {
-          "name": "images",
-          "type": "IMAGE",
-          "links": [
-            97
-          ],
-          "slot_index": 0,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CogVideoDecode"
-      },
-      "widgets_values": [
-        true,
-        240,
-        360,
-        0.2,
-        0.2,
-        true
-      ]
-    },
-    {
-      "id": 30,
-      "type": "CogVideoTextEncode",
-      "pos": {
-        "0": 493,
-        "1": 303
-      },
-      "size": {
-        "0": 471.90142822265625,
-        "1": 168.08047485351562
-      },
-      "flags": {},
-      "order": 3,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "clip",
-          "type": "CLIP",
-          "link": 54
-        }
-      ],
-      "outputs": [
-        {
-          "name": "conditioning",
-          "type": "CONDITIONING",
-          "links": [
-            110
-          ],
-          "slot_index": 0,
-          "shape": 3
-        },
-        {
-          "name": "clip",
-          "type": "CLIP",
-          "links": [
-            108
-          ],
-          "slot_index": 1
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CogVideoTextEncode"
-      },
-      "widgets_values": [
-        "majestic stag grazing in a forest and basking in the setting sun",
-        1,
-        false
-      ]
-    },
-    {
-      "id": 51,
-      "type": "CogVideoXFunSampler",
-      "pos": {
-        "0": 1058,
-        "1": 345
-      },
-      "size": {
-        "0": 367.79998779296875,
-        "1": 434
-      },
-      "flags": {},
-      "order": 6,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "pipeline",
-          "type": "COGVIDEOPIPE",
-          "link": 109
-        },
-        {
-          "name": "positive",
-          "type": "CONDITIONING",
-          "link": 110
-        },
-        {
-          "name": "negative",
-          "type": "CONDITIONING",
-          "link": 111
-        },
-        {
-          "name": "start_img",
-          "type": "IMAGE",
-          "link": 112,
-          "shape": 7
-        },
-        {
-          "name": "end_img",
-          "type": "IMAGE",
-          "link": null,
-          "shape": 7
-        },
-        {
-          "name": "context_options",
-          "type": "COGCONTEXT",
-          "link": null,
-          "shape": 7
-        },
-        {
-          "name": "tora_trajectory",
-          "type": "TORAFEATURES",
-          "link": null,
-          "shape": 7
-        },
-        {
-          "name": "fastercache",
-          "type": "FASTERCACHEARGS",
-          "link": null,
-          "shape": 7
-        },
-        {
-          "name": "vid2vid_images",
-          "type": "IMAGE",
-          "link": null,
-          "shape": 7
-        }
-      ],
-      "outputs": [
-        {
-          "name": "cogvideo_pipe",
-          "type": "COGVIDEOPIPE",
-          "links": [
-            113
-          ]
-        },
-        {
-          "name": "samples",
-          "type": "LATENT",
-          "links": [
-            114
-          ]
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "CogVideoXFunSampler"
-      },
-      "widgets_values": [
-        49,
-        720,
-        480,
-        43,
-        "randomize",
-        50,
-        6,
-        "DDIM",
-        0.0563,
-        1
-      ]
-    },
-    {
-      "id": 48,
-      "type": "DownloadAndLoadCogVideoGGUFModel",
-      "pos": {
-        "0": 585,
-        "1": 34
-      },
-      "size": {
-        "0": 378,
-        "1": 198
-      },
-      "flags": {},
-      "order": 2,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "pab_config",
-          "type": "PAB_CONFIG",
-          "link": null,
-          "shape": 7
-        },
-        {
-          "name": "block_edit",
-          "type": "TRANSFORMERBLOCKS",
-          "link": null,
-          "shape": 7
-        }
-      ],
-      "outputs": [
-        {
-          "name": "cogvideo_pipe",
-          "type": "COGVIDEOPIPE",
-          "links": [
-            109
-          ],
-          "slot_index": 0,
-          "shape": 3
-        }
-      ],
-      "properties": {
-        "Node name for S&R": "DownloadAndLoadCogVideoGGUFModel"
-      },
-      "widgets_values": [
-        "CogVideoX_5b_fun_1_1_GGUF_Q4_0.safetensors",
-        "bf16",
-        false,
-        "offload_device",
-        false,
-        "disabled"
-      ]
-    }
-  ],
-  "links": [
-    [
-      54,
-      20,
-      0,
-      30,
-      0,
-      "CLIP"
-    ],
-    [
-      71,
-      36,
-      0,
-      37,
-      0,
-      "IMAGE"
-    ],
-    [
-      97,
-      11,
-      0,
-      44,
-      0,
-      "IMAGE"
-    ],
-    [
-      108,
-      30,
-      1,
-      31,
-      0,
-      "CLIP"
-    ],
-    [
-      109,
-      48,
-      0,
-      51,
-      0,
-      "COGVIDEOPIPE"
-    ],
-    [
-      110,
-      30,
-      0,
-      51,
-      1,
-      "CONDITIONING"
-    ],
-    [
-      111,
-      31,
-      0,
-      51,
-      2,
-      "CONDITIONING"
-    ],
-    [
-      112,
-      37,
-      0,
-      51,
-      3,
-      "IMAGE"
-    ],
-    [
-      113,
-      51,
-      0,
-      11,
-      0,
-      "COGVIDEOPIPE"
-    ],
-    [
-      114,
-      51,
-      1,
-      11,
-      1,
-      "LATENT"
-    ]
-  ],
-  "groups": [],
-  "config": {},
-  "extra": {
-    "ds": {
-      "scale": 0.7513148009015784,
-      "offset": [
-        724.7448506313632,
-        128.336592104936
-      ]
-    }
-  },
-  "version": 0.4
-}
\ No newline at end of file
diff --git a/nodes.py b/nodes.py
index bd89609..6af6b6c 100644
--- a/nodes.py
+++ b/nodes.py
@@ -595,14 +595,14 @@ class CogVideoSampler:
     FUNCTION = "process"
     CATEGORY = "CogVideoWrapper"
 
-    def process(self, pipeline, positive, negative, steps, cfg, seed, scheduler, num_frames, samples=None,
+    def process(self, model, positive, negative, steps, cfg, seed, scheduler, num_frames, samples=None,
                 denoise_strength=1.0, image_cond_latents=None, context_options=None, controlnet=None, tora_trajectory=None, fastercache=None):
         mm.soft_empty_cache()
 
-        model_name = pipeline.get("model_name", "")
+        model_name = model.get("model_name", "")
         supports_image_conds = True if "I2V" in model_name or "interpolation" in model_name.lower() or "fun" in model_name.lower() else False
 
-        if "fun" in model_name.lower() and image_cond_latents is not None:
+        if "fun" in model_name.lower() and "pose" not in model_name.lower() and image_cond_latents is not None:
             assert image_cond_latents["mask"] is not None, "For fun inpaint models use CogVideoImageEncodeFunInP"
             fun_mask = image_cond_latents["mask"]
         else:
@@ -632,11 +632,11 @@ class CogVideoSampler:
 
         device = mm.get_torch_device()
         offload_device = mm.unet_offload_device()
-        pipe = pipeline["pipe"]
-        dtype = pipeline["dtype"]
-        scheduler_config = pipeline["scheduler_config"]
+        pipe = model["pipe"]
+        dtype = model["dtype"]
+        scheduler_config = model["scheduler_config"]
         
-        if not pipeline["cpu_offloading"] and pipeline["manual_offloading"]:
+        if not model["cpu_offloading"] and model["manual_offloading"]:
             pipe.transformer.to(device)
         generator = torch.Generator(device=torch.device("cpu")).manual_seed(seed)
 
@@ -683,10 +683,10 @@ class CogVideoSampler:
         except:
             pass
   
-        autocastcondition = not pipeline["onediff"] or not dtype == torch.float32
+        autocastcondition = not model["onediff"] or not dtype == torch.float32
         autocast_context = torch.autocast(mm.get_autocast_device(device), dtype=dtype) if autocastcondition else nullcontext()
         with autocast_context:
-            latents = pipeline["pipe"](
+            latents = model["pipe"](
                 num_inference_steps=steps,
                 height = height,
                 width = width,
@@ -708,7 +708,7 @@ class CogVideoSampler:
                 controlnet=controlnet,
                 tora=tora_trajectory if tora_trajectory is not None else None,
             )
-        if not pipeline["cpu_offloading"] and pipeline["manual_offloading"]:
+        if not model["cpu_offloading"] and model["manual_offloading"]:
             pipe.transformer.to(offload_device)
 
         if fastercache is not None:
@@ -763,18 +763,16 @@ class CogVideoDecode:
     @classmethod
     def INPUT_TYPES(s):
         return {"required": {
-            "samples": ("LATENT", ),
-            "vae": ("VAE", {"default": None}),
-            "enable_vae_tiling": ("BOOLEAN", {"default": True, "tooltip": "Drastically reduces memory use but may introduce seams"}),
-            },
-            "optional": {
-            "tile_sample_min_height": ("INT", {"default": 240, "min": 16, "max": 2048, "step": 8, "tooltip": "Minimum tile height, default is half the height"}),
-            "tile_sample_min_width": ("INT", {"default": 360, "min": 16, "max": 2048, "step": 8, "tooltip": "Minimum tile width, default is half the width"}),
-            "tile_overlap_factor_height": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0, "step": 0.001}),
-            "tile_overlap_factor_width": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0, "step": 0.001}),
-            "auto_tile_size": ("BOOLEAN", {"default": True, "tooltip": "Auto size based on height and width, default is half the size"}),
-            }
-        }
+                    "vae": ("VAE",),
+                    "samples": ("LATENT",),
+                    "enable_vae_tiling": ("BOOLEAN", {"default": True, "tooltip": "Drastically reduces memory use but may introduce seams"}),
+                    "tile_sample_min_height": ("INT", {"default": 240, "min": 16, "max": 2048, "step": 8, "tooltip": "Minimum tile height, default is half the height"}),
+                    "tile_sample_min_width": ("INT", {"default": 360, "min": 16, "max": 2048, "step": 8, "tooltip": "Minimum tile width, default is half the width"}),
+                    "tile_overlap_factor_height": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0, "step": 0.001}),
+                    "tile_overlap_factor_width": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0, "step": 0.001}),
+                    "auto_tile_size": ("BOOLEAN", {"default": True, "tooltip": "Auto size based on height and width, default is half the size"}),
+                    },            
+                }
 
     RETURN_TYPES = ("IMAGE",)
     RETURN_NAMES = ("images",)