diff --git a/nuke_CAM_exporter/debugging_issues/bugs_reports_e.txt b/nuke_CAM_exporter/debugging_issues/bugs_reports_e.txt
deleted file mode 100644
index b8fb0a3..0000000
--- a/nuke_CAM_exporter/debugging_issues/bugs_reports_e.txt
+++ /dev/null
@@ -1,58 +0,0 @@
-control_camera_video.shape torch.Size([1, 6, 161, 704, 1248])
-control_camera_latents.shape torch.Size([1, 24, 41, 704, 1248])
-CUDA Compute Capability: 8.9
-Detected model in_channels: 36
-Model cross attention type: t2v, num_heads: 40, num_layers: 40
-Model variant detected: 14B_2.2
-model_type FLOW
-Loading LoRA: Wan22_Lightning\4steps_1022_i2v\wan2.2_i2v_A14b_high_noise_lora_rank64_lightx2v_4step_1022 with strength: 1.0
-Using accelerate to load and assign model weights to device...
-Loading transformer parameters to cuda:0:   0%|          | 0/1101 [00:00<?, ?it/Loading transformer parameters to cuda:0:   1%|          | 11/1101 [00:00<00:12,Loading transformer parameters to cuda:0:   3%|▎         | 38/1101 [00:00<00:05,Loading transformer parameters to cuda:0:   6%|▌         | 68/1101 [00:00<00:04,Loading transformer parameters to cuda:0:   9%|▉         | 97/1101 [00:00<00:04,Loading transformer parameters to cuda:0:  11%|█▏        | 126/1101 [00:00<00:03Loading transformer parameters to cuda:0:  14%|█▍        | 155/1101 [00:00<00:03Loading transformer parameters to cuda:0:  17%|█▋        | 182/1101 [00:00<00:03Loading transformer parameters to cuda:0:  19%|█▉        | 209/1101 [00:00<00:03Loading transformer parameters to cuda:0:  22%|██▏       | 242/1101 [00:00<00:03Loading transformer parameters to cuda:0:  25%|██▍       | 271/1101 [00:01<00:03Loading transformer parameters to cuda:0: 100%|█████████▉| 1098/1101 [00:01<00:0Loading transformer parameters to cuda:0: 100%|██████████| 1101/1101 [00:01<00:00, 783.50it/s] 
-Using 1095 LoRA weight patches for WanVideo model
-------- Scheduler info -------
-Total timesteps: tensor([999, 961, 909, 833, 714, 499], device='cuda:0')
-Using timesteps: tensor([999, 961, 909], device='cuda:0')
-Using sigmas: tensor([1.0000, 0.9615, 0.9090, 0.8333])
-------------------------------
-sigmas: tensor([1.0000, 0.9615, 0.9090, 0.8333])
-image_cond shape: torch.Size([20, 21, 88, 156])
-Input sequence length: 72072
-Sampling 81 frames at 1248x704 with 3 steps
-  0%|          | 0/3 [00:00<?, ?it/s]Error during model prediction: The size of tensor a (21) must match the size of tensor b (41) at non-singleton dimension 2
-  0%|          | 0/3 [00:02<?, ?it/s]
-Error during sampling: The size of tensor a (21) must match the size of tensor b (41) at non-singleton dimension 2
-!!! Exception during processing !!! The size of tensor a (21) must match the size of tensor b (41) at non-singleton dimension 2
-Traceback (most recent call last):
-  File "C:\Users\ai.machine\AppData\Local\Programs\@comfyorgcomfyui-electron\resources\ComfyUI\execution.py", line 510, in execute
-    output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, hidden_inputs=hidden_inputs)
-                                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "C:\Users\ai.machine\AppData\Local\Programs\@comfyorgcomfyui-electron\resources\ComfyUI\execution.py", line 324, in get_output_data
-    return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, hidden_inputs=hidden_inputs)
-                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "C:\Users\ai.machine\AppData\Local\Programs\@comfyorgcomfyui-electron\resources\ComfyUI\execution.py", line 298, in _async_map_node_over_list
-    await process_inputs(input_dict, i)
-  File "C:\Users\ai.machine\AppData\Local\Programs\@comfyorgcomfyui-electron\resources\ComfyUI\execution.py", line 286, in process_inputs
-    result = f(**inputs)
-             ^^^^^^^^^^^
-  File "C:\Users\ai.machine\Documents\ComfyUI\custom_nodes\ComfyUI-WanVideoWrapper\nodes_sampler.py", line 3036, in process
-    raise e
-  File "C:\Users\ai.machine\Documents\ComfyUI\custom_nodes\ComfyUI-WanVideoWrapper\nodes_sampler.py", line 2921, in process
-    noise_pred, noise_pred_ovi, self.cache_state = predict_with_cfg(
-                                                   ^^^^^^^^^^^^^^^^^
-  File "C:\Users\ai.machine\Documents\ComfyUI\custom_nodes\ComfyUI-WanVideoWrapper\nodes_sampler.py", line 1543, in predict_with_cfg
-    raise e
-  File "C:\Users\ai.machine\Documents\ComfyUI\custom_nodes\ComfyUI-WanVideoWrapper\nodes_sampler.py", line 1414, in predict_with_cfg
-    noise_pred_cond, noise_pred_ovi, cache_state_cond = transformer(
-                                                        ^^^^^^^^^^^^
-  File "C:\Users\ai.machine\Documents\ComfyUI\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "C:\Users\ai.machine\Documents\ComfyUI\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
-    return forward_call(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "C:\Users\ai.machine\Documents\ComfyUI\custom_nodes\ComfyUI-WanVideoWrapper\wanvideo\modules\model.py", line 2302, in forward
-    x = [u + v for u, v in zip(x, fun_camera)]
-         ~~^~~
-RuntimeError: The size of tensor a (21) must match the size of tensor b (41) at non-singleton dimension 2
-
-Prompt executed in 19.18 seconds
diff --git a/nuke_CAM_exporter/debugging_issues/bugs_reports_f.txt b/nuke_CAM_exporter/debugging_issues/bugs_reports_f.txt
new file mode 100644
index 0000000..0496c4a
--- /dev/null
+++ b/nuke_CAM_exporter/debugging_issues/bugs_reports_f.txt
@@ -0,0 +1,27 @@
+got prompt
+control_camera_video.shape torch.Size([1, 6, 81, 704, 1248])
+control_camera_latents.shape torch.Size([1, 24, 21, 704, 1248])
+Interrupting prompt 4254c21a-a69f-48a2-867c-22fb99f936d4
+Processing interrupted
+Prompt executed in 8.07 seconds
+got prompt
+control_camera_video.shape torch.Size([1, 6, 80, 704, 1248])
+!!! Exception during processing !!! shape '[1, 20, 4, 6, 704, 1248]' is invalid for input of size 437538816
+Traceback (most recent call last):
+  File "C:\Users\ai.machine\AppData\Local\Programs\@comfyorgcomfyui-electron\resources\ComfyUI\execution.py", line 510, in execute
+    output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, hidden_inputs=hidden_inputs)
+                                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "C:\Users\ai.machine\AppData\Local\Programs\@comfyorgcomfyui-electron\resources\ComfyUI\execution.py", line 324, in get_output_data
+    return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, hidden_inputs=hidden_inputs)
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "C:\Users\ai.machine\AppData\Local\Programs\@comfyorgcomfyui-electron\resources\ComfyUI\execution.py", line 298, in _async_map_node_over_list
+    await process_inputs(input_dict, i)
+  File "C:\Users\ai.machine\AppData\Local\Programs\@comfyorgcomfyui-electron\resources\ComfyUI\execution.py", line 286, in process_inputs
+    result = f(**inputs)
+             ^^^^^^^^^^^
+  File "C:\Users\ai.machine\Documents\ComfyUI\custom_nodes\ComfyUI-WanVideoWrapper\fun_camera\nodes.py", line 158, in process
+    control_camera_latents = control_camera_latents.contiguous().view(b, f // 4, 4, c, h, w).transpose(2, 3)
+                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+RuntimeError: shape '[1, 20, 4, 6, 704, 1248]' is invalid for input of size 437538816
+
+Prompt executed in 2.29 seconds
diff --git a/nuke_CAM_exporter/docs/process_resume.md b/nuke_CAM_exporter/docs/README.md
similarity index 86%
rename from nuke_CAM_exporter/docs/process_resume.md
rename to nuke_CAM_exporter/docs/README.md
index c23ee62..b0114b3 100644
--- a/nuke_CAM_exporter/docs/process_resume.md
+++ b/nuke_CAM_exporter/docs/README.md
@@ -1,4 +1,4 @@
-# Nuke Camera Export → ComfyUI Pose Pipeline
+# Nuke ASCI Camera Export → ComfyUI Pose Pipeline
 
 This document captures the end-to-end workflow we established for converting Nuke camera animations into RealEstate10k-compatible pose files that ComfyUI can ingest via the Koolook loader.
 
@@ -23,6 +23,7 @@ Key behavior:
 - Parses command-line arguments for input path, output path, fps, intrinsics, and placeholder pose width/height.
 - Reads each ASCI row using the known column order and converts rotation degrees → radians.
 - Builds a rotation matrix using Nuke's ZXY order (`euler_zxy_to_matrix`).
+- Converts Nuke's camera-center translations into RealEstate10k-style world→camera translations via `t = -R * C`; without this step ComfyUI interprets movement on the wrong axis.
 - Writes RealEstate10k-style rows:
   - Columns 1–7: timestamp (µs), fx, fy, cx, cy, pose_width, pose_height.
   - Columns 8–19: `[R|t]` flattened row-major (each row’s three rotation entries followed by that row’s translation component).
@@ -38,9 +39,10 @@ python nuke_ASCI-2-Pose_converter.py \
 ```
 
 ```
+cd nuke_CAM_exporter
 python nuke_ASCI-2-Pose_converter.py `
     inputs/camTrack_v01.asci `
-    outputs/camTrack_v01_converted.txt `
+    outputs/camTrack_v06_converted.txt `
     --fps 25 --fx 0.5 --fy 0.5 --cx 0.5 --cy 0.5 `
     --width 1248 --height 704
 ```
@@ -77,4 +79,9 @@ source:inputs/camTrack_v01.asci fps:25.0 fx:0.5 fy:0.5 cx:0.5 cy:0.5 width:1280.
 2. After running the converter, open the TXT and confirm the translation entries in row 1 match the screenshot.
 3. Load the TXT through the Koolook loader + CameraPoseVisualizer to visually confirm the path.
 
+## 6. Using in ComfyUI:
+1. Copy `outputs/camTrack_v01_converted.txt` into ComfyUI's input folder (or reference the absolute path).
+2. Use the `Koolook Load Camera Poses (Absolute Path)` node to read it.
+3. Preview with `CameraPoseVisualizer` and feed into camera/motion encoder nodes.
+
 Keep this document handy as a “resume” of the pipeline so future adjustments reference the same assumptions and file locations.
diff --git a/nuke_CAM_exporter/docs/camTrack_v01_converted_README.txt b/nuke_CAM_exporter/docs/camTrack_v01_converted_README.txt
deleted file mode 100644
index dd48adf..0000000
--- a/nuke_CAM_exporter/docs/camTrack_v01_converted_README.txt
+++ /dev/null
@@ -1,25 +0,0 @@
-camTrack_v01_converted.txt
-================================
-
-Generated via `nuke_ASCI-2-Pose_converter.py` using:
-- source: inputs/camTrack_v01.asci
-- fps: 25.0 (timestamps spaced 40,000 µs)
-- intrinsics: fx=fy=0.5, cx=cy=0.5
-- pose size placeholders: width=1280, height=720
-- ASCI layout: columns exported as [Tx, Rx, Ty, Ry, Rz, Tz]; rotations are degrees in Nuke's ZXY order and are converted to radians internally.
-- rotation order: ZXY (Nuke default for this camera), translation units as stored in the ASCI export
-
-To regenerate:
-```
-python nuke_ASCI-2-Pose_converter.py \
-    inputs/camTrack_v01.asci \
-    outputs/camTrack_v01_converted.txt \
-    --fps 25 --fx 0.5 --fy 0.5 --cx 0.5 --cy 0.5 --width 1280 --height 720
-```
-
-Using in ComfyUI:
-1. Copy `outputs/camTrack_v01_converted.txt` into ComfyUI's input folder (or reference the absolute path).
-2. Use the `Koolook Load Camera Poses (Absolute Path)` node to read it.
-3. Preview with `CameraPoseVisualizer` and feed into camera/motion encoder nodes.
-
-Adjust intrinsics/fps parameters if your render setup differs; re-run the script to update the TXT.
diff --git a/nuke_CAM_exporter/nuke_ASCI-2-Pose_converter.py b/nuke_CAM_exporter/nuke_ASCI-2-Pose_converter.py
index 5dbc8dc..a169899 100644
--- a/nuke_CAM_exporter/nuke_ASCI-2-Pose_converter.py
+++ b/nuke_CAM_exporter/nuke_ASCI-2-Pose_converter.py
@@ -92,6 +92,18 @@ def iter_asci_poses(path: Path) -> Iterator[Tuple[List[List[float]], Tuple[float
         yield euler_zxy_to_matrix(rx, ry, rz), (tx, ty, tz)
 
 
+def camera_center_to_translation(
+    rotation: Sequence[Sequence[float]], camera_center: Tuple[float, float, float]
+) -> Tuple[float, float, float]:
+    cx, cy, cz = camera_center
+    r = rotation
+    return (
+        -(r[0][0] * cx + r[0][1] * cy + r[0][2] * cz),
+        -(r[1][0] * cx + r[1][1] * cy + r[1][2] * cz),
+        -(r[2][0] * cx + r[2][1] * cy + r[2][2] * cz),
+    )
+
+
 def format_pose_rows(
     rotation: List[List[float]], translation: Tuple[float, float, float]
 ) -> List[float]:
@@ -117,7 +129,8 @@ def main() -> None:
     args.output.parent.mkdir(parents=True, exist_ok=True)
     with args.output.open("w", encoding="utf-8") as f:
         f.write(header + "\n")
-        for idx, (rotation, translation) in enumerate(poses):
+        for idx, (rotation, camera_center) in enumerate(poses):
+            translation = camera_center_to_translation(rotation, camera_center)
             row = [
                 idx * frame_time_us,
                 args.fx,
diff --git a/nuke_CAM_exporter/outputs/camTrack_v01_converted.txt b/nuke_CAM_exporter/outputs/camTrack_v01_converted.txt
new file mode 100644
index 0000000..978f494
--- /dev/null
+++ b/nuke_CAM_exporter/outputs/camTrack_v01_converted.txt
@@ -0,0 +1,162 @@
+source:inputs/camTrack_v01.asci fps:25.0 fx:0.5 fy:0.5 cx:0.5 cy:0.5 width:1248.0 height:704.0
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diff --git a/nuke_CAM_exporter/outputs/camTrack_v06_converted.txt b/nuke_CAM_exporter/outputs/camTrack_v06_converted.txt
new file mode 100644
index 0000000..f497090
--- /dev/null
+++ b/nuke_CAM_exporter/outputs/camTrack_v06_converted.txt
@@ -0,0 +1,81 @@
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\ No newline at end of file
diff --git a/nuke_CAM_exporter/wrapper_FIX/wrapper_fun_camera_MODIF-code/nodes.py b/nuke_CAM_exporter/wrapper_FIX/wrapper_fun_camera_MODIF-code/nodes.py
index ab30956..253afff 100644
--- a/nuke_CAM_exporter/wrapper_FIX/wrapper_fun_camera_MODIF-code/nodes.py
+++ b/nuke_CAM_exporter/wrapper_FIX/wrapper_fun_camera_MODIF-code/nodes.py
@@ -79,6 +79,17 @@ def ray_condition(K, c2w, H, W, device):
     # plucker = plucker.permute(0, 1, 4, 2, 3)
     return plucker
 
+def ensure_pose_count_modulo(poses, target_modulo=1):
+    """Pad pose list so len(poses) % 4 equals target_modulo (Wan camera encoder requirement)."""
+    if not poses:
+        return poses
+    remainder = len(poses) % 4
+    pad = (target_modulo - remainder) % 4
+    if pad:
+        poses = poses + [poses[-1][:] for _ in range(pad)]
+    return poses
+
+
 def process_poses(poses, width=672, height=384, original_pose_width=1280, original_pose_height=720, device='cpu', return_poses=False):
     """Modified from https://github.com/hehao13/CameraCtrl/blob/main/inference.py
     """
@@ -138,6 +149,7 @@ class WanVideoFunCameraEmbeds:
     CATEGORY = "WanVideoWrapper"
 
     def process(self, poses, width, height, strength, start_percent, end_percent, fun_ref_image=None):
+        poses = ensure_pose_count_modulo(poses)
         num_frames = len(poses)
 
         control_camera_video = process_poses(poses, width, height)