"The power of the jiggle physics in the palm of my hands"
-Doc Ock or something like that
This is a VACE V2V workflow in Wan2.2 designed to take a subject based on your reference image provided, and replace the subject in your reference video provided. This means the subject in the image does whatever action the subject in the video does.
V2: NOTES - IMPORTANT!!
I couldn't find a non-conflicting node that let one generate some sort of silence. Given the output limitations of what I could find/use, I ended up having to write my own custom node for the situation. The custom node is provided within the download for this workflow. Simply take the folder "Silence Generator" and move that folder and its contents to your "custom node" folder in ComfyUI. Restart ComfyUI and you should be good to go.
If you know of a node that can generate one second of silence, you can simply replace the custom node with that (and then tell me about it!)
I'll update here with some quirks along the way I've been seeing. Not really bugs per se but things to help resolve issues:
Problem: "LayerUtility: Purge VRAM V2 is not being found even though LayerStyle nodepack is up to date"
Solution: clone it directly into your custom_nodes directory from here: https://github.com/chflame163/ComfyUI_LayerStyle
Root Cause: ComfyUI registry possibly caching wrong versionProblem: "My VRAM is bad, and the models are too large for my machine. Slow/OOM"
Solution: Use a GGUF version. You may need different loaders. If you connect the model output to the set nodes input behind the loaders, it should work fine. If you're still confused and google isn't helping, let me know and I can give some guidance.
Root Cause: I created this on an H100 VM.Problem: "I'm getting a numpy error upon running the workflow from InspyrenetRembgAdvanced."
Solution: I've been seeing this time to time. I'm really not liking that node and may find a way to replace it soon. For now, if you run the workflow again, it ignores the error.
Root Cause: Node be jank.
Here's how it works in a nutshell:
1. You input your image reference, video reference, size, VACE models, iteration number, frames to process per iteration, overlap frames, and whatever other params
2. It runs edge detection, pose, plus some fancy masking (optional) on your video iteration slice. It runs processing on your image to pad it if it's not in line with your video aspect ratio.
3. It runs VACE processing on your video/ref image/etc..
4. It replaces the user specified overlap frames with grey frames on your VACE output.
IF IT'S THE 0th INDEX (first iteration), IT BATCHES AND GOES TO NEXT ITERATION, ELSE...
5. It processes the transition frames in a separate VACE workflow, using the black/white masking trick, but still in workflow (not separate).
6. The grey frames inserted earlier from step 4 get replaced with your processed frames in step 5.
7. The last frame from your iteration gets sent back to the beginning of the workflow, the subject in that is masked out, and your original ref image character is overlayed on top. (This is important to stop the typical cooked look each iteration and how it differs from the usual 'sending the last frame over for reference' like other workflows.)
8. Steps 2 through 6 repeat until your iteration total is hit.
9. It chops off the very first grey frames from your overall video.
Result?
You should now have a near seamless video with processed transitions from VACE. Your subject should not get messed up. The background may get a bit cooked for high iterations.
My intention on this workflow is that it's easy to operate, even though some of the math and conditional nodes everywhere may seem kinda crazy.
Disclaimer: I'm running this on an H100. Unless your gpu is genuine 100% angus beef power and not a potato pc, you will almost certainly want to change out the diffusion models/text encoders/etc.. to make things run faster. I tend to place quality first and speed secondary.
Future places this can go:
Canny incorporation...
...and/or Maintaining the mouth shape while removing the mask better - medium priority
Understanding the pose blend better so I can incorporate more pose without it coming up in the final video as an object. (maybe it's the color? blend type? need research) - medium priority
̶A̶u̶d̶i̶o̶ ̶-̶ ̶h̶i̶g̶h̶e̶s̶t̶ ̶p̶r̶i̶o̶r̶i̶t̶y̶,̶ ̶s̶h̶o̶u̶l̶d̶ ̶b̶e̶ ̶u̶p̶c̶o̶m̶i̶n̶g̶ ̶s̶o̶o̶n̶.̶ ̶f̶i̶g̶u̶r̶i̶n̶g̶ ̶o̶u̶t̶ ̶s̶o̶m̶e̶ ̶s̶y̶n̶c̶i̶n̶g̶ ̶s̶t̶u̶f̶f̶.̶ - done
Background options: letting user pick vod background, image background, or a new T2V style generated background - low prioirty
Keeping background consistency better from initial image to first generation (possibly need some masking on the control video) - medium priority
I̶n̶t̶e̶r̶p̶o̶l̶a̶t̶i̶o̶n̶ ̶s̶t̶e̶p̶,̶ ̶m̶a̶y̶b̶e̶ ̶u̶p̶s̶c̶a̶l̶e̶ ̶-̶ ̶m̶e̶d̶i̶u̶m̶ ̶p̶r̶i̶o̶r̶i̶t̶y̶ ̶b̶u̶t̶ ̶e̶a̶s̶y̶ ̶t̶o̶ ̶d̶o̶,̶ ̶I̶ ̶j̶u̶s̶t̶ ̶w̶a̶n̶t̶ ̶t̶o̶ ̶f̶i̶g̶u̶r̶e̶ ̶o̶u̶t̶ ̶t̶h̶e̶ ̶i̶d̶e̶a̶l̶ ̶w̶a̶y̶ ̶t̶o̶ ̶d̶o̶ ̶i̶t̶ ̶f̶o̶r̶ ̶q̶u̶a̶l̶i̶t̶y̶/̶s̶p̶e̶e̶d̶ - done
Adding an optional use for different image refences on user specified iterations. could add some cool possibilities. - low priority
Changing out the deprecated resize image v1 for v2 - medium priority, in progress
Bug fixes - medium priority depending on the bug
Personal notes:
This started out with a "there's a source video I like but I hate how renaissance masks look and want to replace the person." Then, I decided to loop the process. Then I thought "but what if I make it seamless" from the overlap, so I built out a full FL2V step in it, but that wasn't seamless. It had this coloration difference and jumps. Then, I saw some "seamless" workflows on CivitAI. Those were neat! ...but they used filepaths and stuff in essentially a separate workflow. I wanted to click one button and process a full video, so I continued building this out. It's still definitely not perfect. It doesn't give a 1 for 1 replacement exactly like I want, but it's pretty cool I think for what it does so far at least. From here on, it's mainly fine tuning on everything and then fixing edge cases + adding some more features.
Description
If you have v2.0 working, no need for v2.1.
This only replaces the RyanOnTheInside node with a custom node I created, since user reported issue with downloading it.
To install the nodes added, simply place the full folders and all included in the workflow download into your custom_nodes folder.
FAQ
Comments (20)
the workflow works good but dont get it if you dont have a work station. regular computers wont be able to load this beast, not even with guff model files, not even with a 5090.
I'm able to run it on my 5090 with Q4_K_M quants
Is it possible to run this with just 24 GB of VRAM on a 3090?
With the models shown? 100% Not a chance.
With your own models that aren't the ones shown? Maybe, but I've heard others say they've had no luck so far.
I'd suspect there could be some modifications to it to allow for more consumer grade VRAM. Honestly, I haven't really been motivated to look into it yet though.
Went ahead and set up a VM with a capable GPU, and I'm running into the issue:
easy forLoopEnd
No frames generated
at the For Loop End node. Any advice?
(Also quick question, is this workflow also supposed to be able to preserve identity? I'm able to get through the "Everything so far" video node and the result of that at least is quite different than the original subject)
Any terminal errors for the No Frames Generated? Also, can you try changing up the path that it's trying to save to?
The other thing is if you see significant change in identity, check how much you're putting in steps towards high noise vs low noise. For VACE you have to go almost entirely low noise else it will pretty much T2V your entire prompt. I've been getting videos pretty much spot on exactly with the ref image.
Hey OP! Not sure if you've encountered this error before:
AudioConcatenate
Sample rates of the two audios do not match
Love your work and would really appreciate your input on this!
ahhh yeah that's a known error. I really just need to update that node but haven't had time to publish the new version yet.
to an extent, the user just needs to know what sample rate your video is and change the sample rate param on audioconcatenate (usually it's 48khz which is why I did it) until I find a way to analyze the sample rate and do it automatically for the user.
@gumpbubba721291 THANKS! Super helpful! Let me think of a solution as well
for me, the clip I was using showed as 45.1khz in windows but I could not get it to work setting it to 45100 or 45000 in comfy. my solution was to convert the audio in the clip, using vlc, to 48000 bitrate.
Thanks for the guide, appreciate it! The workflow can run smoothly, just for longer duration video, the workflow will slice them into smaller parts, and then the intersection has grey segments. The output is video slice 1, grey segment, video slice 2, etc. I know u put in your rage note about the calculation on the slice. Can u enlighten us how to calculate so there is no grey segments and have continuous video generated? I.e what parameters to tweak etc.
Hmm I'm not quite sure I understand what you're looking for. Could you clarify?
The very final output shouldn't have grey video? If you're seeing full grey frames in the final output, a parameter got tweaked I think.
There is a known bug of sorts I've seen (and still gotta figure out) where grey sometimes appear in the background from the character perseverance masking after VACE fails to fill in the gaps, but that's less of a calculation problem and more so figuring out some masking shenanigans.
This is my error, I can generate the first 81 frames, but not anything behond after the first loop, mind to help?
# ComfyUI Error Report
## Error Details
- Node ID: 337
- Node Type: easy forLoopEnd
- Exception Type: RuntimeError
- Exception Message: torch.cat(): expected a non-empty list of Tensors
## Stack Trace
```
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 496, 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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 315, in get_output_data
return_values = await asyncmap_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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 289, in asyncmap_node_over_list
await process_inputs(input_dict, i)
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 277, in process_inputs
result = f(**inputs)
^^^^^^^^^^^
File "C:\ComfyUI\custom_nodes\comfyui-inspyrenet-rembg\Inspyrenet_Rembg.py", line 75, in remove_background
img_stack = torch.cat(img_list, dim=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^
```
## System Information
- ComfyUI Version: 0.3.57
- Arguments: C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\main.py --user-directory C:\ComfyUI\user --input-directory C:\ComfyUI\input --output-directory C:\ComfyUI\output --front-end-root C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\web_custom_versions\desktop_app --base-directory C:\ComfyUI --extra-model-paths-config C:\Users\User\AppData\Roaming\ComfyUI\extra_models_config.yaml --log-stdout --listen 127.0.0.1 --port 8000
- OS: nt
- Python Version: 3.12.9 (main, Feb 12 2025, 14:52:31) [MSC v.1942 64 bit (AMD64)]
- Embedded Python: false
- PyTorch Version: 2.8.0+cu128
## Devices
- Name: cuda:0 NVIDIA GeForce RTX 5070 Ti : cudaMallocAsync
- Type: cuda
- VRAM Total: 17094344704
- VRAM Free: 15645802496
- Torch VRAM Total: 0
- Torch VRAM Free: 0
## Logs
```
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2025-09-08T17:17:49.081872 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:49.081872 -
2025-09-08T17:17:49.098006 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:49.098006 -
2025-09-08T17:17:49.114134 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:49.114134 -
2025-09-08T17:17:49.130259 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:49.130259 -
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2025-09-08T17:17:49.163550 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:49.163550 -
2025-09-08T17:17:49.179673 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:49.179673 -
2025-09-08T17:17:49.195790 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:49.195790 -
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2025-09-08T17:17:49.834129 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:49.835132 -
2025-09-08T17:17:49.850307 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:49.850307 -
2025-09-08T17:17:49.866441 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:49.866441 -
2025-09-08T17:17:49.882571 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:49.882571 -
2025-09-08T17:17:49.887594 - # 😺dzNodes: LayerStyle -> [1;32mImageBlend Processed 81 image(s).[m2025-09-08T17:17:49.887594 -
2025-09-08T17:17:53.484613 - # 😺dzNodes: LayerStyle -> [1;32mImageBlend Processed 81 image(s).[m2025-09-08T17:17:53.484613 -
2025-09-08T17:17:54.453427 - model_path is C:\ComfyUI\custom_nodes\comfyui_controlnet_aux\ckpts\depth-anything\Depth-Anything-V2-Large\depth_anything_v2_vitl.pth2025-09-08T17:17:54.453427 -
2025-09-08T17:17:54.459798 - using MLP layer as FFN
2025-09-08T17:18:13.407063 - Settings -> Mode=base, Device=cuda:0, Torchscript=disabled2025-09-08T17:18:13.407063 -
2025-09-08T17:18:15.808331 - Settings -> Mode=base, Device=cuda:0, Torchscript=disabled2025-09-08T17:18:15.808331 -
2025-09-08T17:18:15.820467 - !!! Exception during processing !!! torch.cat(): expected a non-empty list of Tensors
2025-09-08T17:18:15.821472 - Traceback (most recent call last):
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 496, 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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 315, in get_output_data
return_values = await asyncmap_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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 289, in asyncmap_node_over_list
await process_inputs(input_dict, i)
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 277, in process_inputs
result = f(**inputs)
^^^^^^^^^^^
File "C:\ComfyUI\custom_nodes\comfyui-inspyrenet-rembg\Inspyrenet_Rembg.py", line 75, in remove_background
img_stack = torch.cat(img_list, dim=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: torch.cat(): expected a non-empty list of Tensors
2025-09-08T17:18:15.823846 - Prompt executed in 00:17:17
```
## Attached Workflow
Please make sure that workflow does not contain any sensitive information such as API keys or passwords.
```
Workflow too large. Please manually upload the workflow from local file system.
```
## Additional Context
(Please add any additional context or steps to reproduce the error here)
2025-09-08T17:17:48.539013 - # 😺dzNodes: LayerStyle -> [1;31mWarning: ImageBlend mask mismatch, dropped![m2025-09-08T17:17:48.539013 -
so if you see this, that means that there is an issue with the sizing of your node so it's causing a conflict. I'm sure if you look at the video previews for the depth and pose you'll see a near black box on them. I want to make sizing more user friendly at some point but for now, go to the debug width/debug height nodes in the top right of the Video Processing - Pose section. expand them, and they should tell you the numbers for vodWidth and vodHeight. to be extra sure it will work, change your vod size to that. for whatever number is largest, change your "Largest Dimension" user parameter on the left to that number.
@gumpbubba721291 Hi sir, the issue is resolved, however another error pops out, thanks for enlightening me because I tried chatgpt still unresolved, you have the best insight to solve the error:
# ComfyUI Error Report
## Error Details
- Node ID: 337
- Node Type: easy forLoopEnd
- Exception Type: RuntimeError
- Exception Message: torch.cat(): expected a non-empty list of Tensors
## Stack Trace
```
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 496, 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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 315, in get_output_data
return_values = await asyncmap_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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 289, in asyncmap_node_over_list
await process_inputs(input_dict, i)
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 277, in process_inputs
result = f(**inputs)
^^^^^^^^^^^
File "C:\ComfyUI\custom_nodes\comfyui-inspyrenet-rembg\Inspyrenet_Rembg.py", line 75, in remove_background
img_stack = torch.cat(img_list, dim=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^
```
## System Information
- ComfyUI Version: 0.3.57
- Arguments: C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\main.py --user-directory C:\ComfyUI\user --input-directory C:\ComfyUI\input --output-directory C:\ComfyUI\output --front-end-root C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\web_custom_versions\desktop_app --base-directory C:\ComfyUI --extra-model-paths-config C:\Users\User\AppData\Roaming\ComfyUI\extra_models_config.yaml --log-stdout --listen 127.0.0.1 --port 8000
- OS: nt
- Python Version: 3.12.9 (main, Feb 12 2025, 14:52:31) [MSC v.1942 64 bit (AMD64)]
- Embedded Python: false
- PyTorch Version: 2.8.0+cu128
## Devices
- Name: cuda:0 NVIDIA GeForce RTX 5070 Ti : cudaMallocAsync
- Type: cuda
- VRAM Total: 17094344704
- VRAM Free: 15645802496
- Torch VRAM Total: 0
- Torch VRAM Free: 0
## Logs
```
2025-09-08T23:50:18.320759 - DWPose: Bbox 22.61ms2025-09-08T23:50:18.320759 -
2025-09-08T23:50:18.345879 - DWPose: Pose 24.09ms on 1 people
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2025-09-08T23:50:18.558986 - DWPose: Pose 22.83ms on 1 people
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2025-09-08T23:50:19.525868 - DWPose: Pose 24.03ms on 1 people
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2025-09-08T23:50:19.561628 - DWPose: Bbox 20.78ms2025-09-08T23:50:19.561628 -
2025-09-08T23:50:19.586156 - DWPose: Pose 24.06ms on 1 people
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2025-09-08T23:50:19.708733 - DWPose: Pose 23.96ms on 1 people
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2025-09-08T23:50:19.794345 - DWPose: Pose 33.19ms on 1 people
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2025-09-08T23:50:19.879432 - DWPose: Pose 31.60ms on 1 people
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2025-09-08T23:50:23.326641 -
2025-09-08T23:50:25.228512 - # 😺dzNodes: LayerStyle -> [1;32mImageBlend Processed 77 image(s).[m2025-09-08T23:50:25.229514 -
2025-09-08T23:50:28.583365 - # 😺dzNodes: LayerStyle -> [1;32mImageBlend Processed 77 image(s).[m2025-09-08T23:50:28.583365 -
2025-09-08T23:50:29.560191 - model_path is C:\ComfyUI\custom_nodes\comfyui_controlnet_aux\ckpts\depth-anything\Depth-Anything-V2-Large\depth_anything_v2_vitl.pth2025-09-08T23:50:29.560191 -
2025-09-08T23:50:29.565729 - using MLP layer as FFN
2025-09-08T23:50:50.224627 - Settings -> Mode=base, Device=cuda:0, Torchscript=disabled2025-09-08T23:50:50.224627 -
2025-09-08T23:50:52.542512 - Settings -> Mode=base, Device=cuda:0, Torchscript=disabled2025-09-08T23:50:52.542512 -
2025-09-08T23:50:53.281207 - !!! Exception during processing !!! torch.cat(): expected a non-empty list of Tensors
2025-09-08T23:50:53.284832 - Traceback (most recent call last):
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 496, 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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 315, in get_output_data
return_values = await asyncmap_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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 289, in asyncmap_node_over_list
await process_inputs(input_dict, i)
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 277, in process_inputs
result = f(**inputs)
^^^^^^^^^^^
File "C:\ComfyUI\custom_nodes\comfyui-inspyrenet-rembg\Inspyrenet_Rembg.py", line 75, in remove_background
img_stack = torch.cat(img_list, dim=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: torch.cat(): expected a non-empty list of Tensors
2025-09-08T23:50:53.301321 - Prompt executed in 00:16:19
```
## Attached Workflow
Please make sure that workflow does not contain any sensitive information such as API keys or passwords.
```
Workflow too large. Please manually upload the workflow from local file system.
```
## Additional Context
(Please add any additional context or steps to reproduce the error here)
looks like rembg is having issues with not finding any background to remove so it's throwing an error
@gumpbubba721291 unfortunately, I am still getting the same error. I have changed the figure to 720, getting it from expanding the debug width/debug height nodes:
# ComfyUI Error Report
## Error Details
- Node ID: 337
- Node Type: easy forLoopEnd
- Exception Type: RuntimeError
- Exception Message: torch.cat(): expected a non-empty list of Tensors
## Stack Trace
```
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 496, 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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 315, in get_output_data
return_values = await asyncmap_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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 289, in asyncmap_node_over_list
await process_inputs(input_dict, i)
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 277, in process_inputs
result = f(**inputs)
^^^^^^^^^^^
File "C:\ComfyUI\custom_nodes\comfyui-inspyrenet-rembg\Inspyrenet_Rembg.py", line 75, in remove_background
img_stack = torch.cat(img_list, dim=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^
```
## System Information
- ComfyUI Version: 0.3.59
- Arguments: C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\main.py --user-directory C:\ComfyUI\user --input-directory C:\ComfyUI\input --output-directory C:\ComfyUI\output --front-end-root C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\web_custom_versions\desktop_app --base-directory C:\ComfyUI --extra-model-paths-config C:\Users\User\AppData\Roaming\ComfyUI\extra_models_config.yaml --log-stdout --listen 127.0.0.1 --port 8000
- OS: nt
- Python Version: 3.12.9 (main, Feb 12 2025, 14:52:31) [MSC v.1942 64 bit (AMD64)]
- Embedded Python: false
- PyTorch Version: 2.8.0+cu128
## Devices
- Name: cuda:0 NVIDIA GeForce RTX 5070 Ti : cudaMallocAsync
- Type: cuda
- VRAM Total: 17094344704
- VRAM Free: 15645802496
- Torch VRAM Total: 0
- Torch VRAM Free: 0
## Logs
```
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2025-09-11T23:44:51.352893 -
2025-09-11T23:44:54.025083 - # 😺dzNodes: LayerStyle -> [1;32mImageBlend Processed 77 image(s).[m2025-09-11T23:44:54.025083 -
2025-09-11T23:44:57.191857 - # 😺dzNodes: LayerStyle -> [1;32mImageBlend Processed 77 image(s).[m2025-09-11T23:44:57.191857 -
2025-09-11T23:44:59.219706 - model_path is C:\ComfyUI\custom_nodes\comfyui_controlnet_aux\ckpts\depth-anything\Depth-Anything-V2-Large\depth_anything_v2_vitl.pth2025-09-11T23:44:59.219706 -
2025-09-11T23:44:59.224737 - using MLP layer as FFN
2025-09-11T23:45:21.104034 - Settings -> Mode=base, Device=cuda:0, Torchscript=disabled2025-09-11T23:45:21.104034 -
2025-09-11T23:45:23.818430 - Settings -> Mode=base, Device=cuda:0, Torchscript=disabled2025-09-11T23:45:23.818430 -
2025-09-11T23:45:23.864947 - !!! Exception during processing !!! torch.cat(): expected a non-empty list of Tensors
2025-09-11T23:45:23.917124 - Traceback (most recent call last):
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 496, 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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 315, in get_output_data
return_values = await asyncmap_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\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 289, in asyncmap_node_over_list
await process_inputs(input_dict, i)
File "C:\Users\User\AppData\Local\Programs\ComfyUI\resources\ComfyUI\execution.py", line 277, in process_inputs
result = f(**inputs)
^^^^^^^^^^^
File "C:\ComfyUI\custom_nodes\comfyui-inspyrenet-rembg\Inspyrenet_Rembg.py", line 75, in remove_background
img_stack = torch.cat(img_list, dim=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: torch.cat(): expected a non-empty list of Tensors
2025-09-11T23:45:23.920200 - Prompt executed in 00:22:55
```
## Attached Workflow
Please make sure that workflow does not contain any sensitive information such as API keys or passwords.
```
Workflow too large. Please manually upload the workflow from local file system.
```
## Additional Context
(Please add any additional context or steps to reproduce the error here)
Hi @gumpbubba721291 , I actually remove your audio nodes and upscale nodes, is this the reason for the error?
Crazy I know the exact video the title card was made from. It's "Firtsbornunicorn" slapping her own breasts.
bro lmao 💀