ComfyUI
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Published
3 days ago
•
comfyanonymous
comfyanonymous
Given groups=1, weight of size [4, 4, 1, 1], expected input[1, 16, 64, 64] to have 4 channels, but got 16 channels instead
Your question
How do I fix this error? :')
Logs
# ComfyUI Error Report
## Error Details
- **Node Type:** VAEDecode
- **Exception Type:** RuntimeError
- **Exception Message:** Given groups=1, weight of size [4, 4, 1, 1], expected input[1, 16, 64, 64] to have 4 channels, but got 16 channels instead
## Stack Trace
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 323, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 198, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 284, in decode
images = vae.decode(samples["samples"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 347, in decode
out = self.process_output(self.first_stage_model.decode(samples).to(self.output_device).float())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\models\autoencoder.py", line 199, in decode
dec = self.post_quant_conv(z)
^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 98, in forward
return super().forward(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 554, in forward
return self._conv_forward(input, self.weight, self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 549, in _conv_forward
return F.conv2d(
^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\_tensor.py", line 1512, in __torch_function__
ret = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
System Information
- ComfyUI Version: v0.2.7
- Arguments: ComfyUI\main.py --cpu --windows-standalone-build
- OS: nt
- Python Version: 3.12.7 (tags/v3.12.7:0b05ead, Oct 1 2024, 03:06:41) [MSC v.1941 64 bit (AMD64)]
- Embedded Python: true
- PyTorch Version: 2.5.1+cu124
Devices
- Name: cpu
- Type: cpu
- VRAM Total: 16901771264
- VRAM Free: 1937580032
- Torch VRAM Total: 16901771264
- Torch VRAM Free: 1937580032
Logs
2024-11-15 11:24:22,029 - root - INFO - Total VRAM 16119 MB, total RAM 16119 MB
2024-11-15 11:24:22,029 - root - INFO - pytorch version: 2.5.1+cu124
2024-11-15 11:24:22,029 - root - INFO - Set vram state to: DISABLED
2024-11-15 11:24:22,029 - root - INFO - Device: cpu
2024-11-15 11:24:32,396 - root - INFO - Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention
2024-11-15 11:25:43,955 - root - INFO - [Prompt Server] web root: D:\ComfyUI_windows_portable\ComfyUI\web
2024-11-15 11:25:58,337 - root - INFO -
Import times for custom nodes:
2024-11-15 11:25:58,337 - root - INFO - 0.0 seconds: D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\websocket_image_save.py
2024-11-15 11:25:58,337 - root - INFO - 0.1 seconds: D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-GGUF
2024-11-15 11:25:58,337 - root - INFO -
2024-11-15 11:25:58,346 - root - INFO - Starting server
2024-11-15 11:25:58,346 - root - INFO - To see the GUI go to: http://127.0.0.1:8188
2024-11-15 11:41:27,815 - root - INFO - got prompt
2024-11-15 11:41:27,830 - root - ERROR - Failed to validate prompt for output 9:
2024-11-15 11:41:27,830 - root - ERROR - * DualCLIPLoader 11:
2024-11-15 11:41:27,830 - root - ERROR - - Value not in list: clip_name1: 'clip-vit-large-patch14 .safetensors' not in ['model.safetensors', 't5xxl_fp8_e4m3fn_scaled.safetensors']
2024-11-15 11:41:27,830 - root - ERROR - - Value not in list: clip_name2: 't5xxl_fp8_e4m3fn.safetensors' not in ['model.safetensors', 't5xxl_fp8_e4m3fn_scaled.safetensors']
2024-11-15 11:41:27,834 - root - ERROR - * LoraLoader 29:
2024-11-15 11:41:27,834 - root - ERROR - - Value not in list: lora_name: '{'content': 'flux_realism_lora.safetensors', 'image': None, 'title': 'flux_realism_lora.safetensors'}' not in ['lora.safetensors']
2024-11-15 11:41:27,834 - root - ERROR - Output will be ignored
2024-11-15 11:41:27,835 - root - WARNING - invalid prompt: {'type': 'prompt_outputs_failed_validation', 'message': 'Prompt outputs failed validation', 'details': '', 'extra_info': {}}
2024-11-15 11:42:57,954 - root - INFO - got prompt
2024-11-15 11:42:57,966 - root - ERROR - Failed to validate prompt for output 9:
2024-11-15 11:42:57,966 - root - ERROR - * DualCLIPLoader 11:
2024-11-15 11:42:57,966 - root - ERROR - - Value not in list: clip_name1: 'clip-vit-large-patch14 .safetensors' not in ['model.safetensors', 't5xxl_fp8_e4m3fn_scaled.safetensors']
2024-11-15 11:42:57,966 - root - ERROR - - Value not in list: clip_name2: 't5xxl_fp8_e4m3fn.safetensors' not in ['model.safetensors', 't5xxl_fp8_e4m3fn_scaled.safetensors']
2024-11-15 11:42:57,966 - root - ERROR - Output will be ignored
2024-11-15 11:42:57,966 - root - WARNING - invalid prompt: {'type': 'prompt_outputs_failed_validation', 'message': 'Prompt outputs failed validation', 'details': '', 'extra_info': {}}
2024-11-15 11:43:17,593 - root - INFO - got prompt
2024-11-15 11:43:17,724 - root - INFO - Using split attention in VAE
2024-11-15 11:43:17,733 - root - INFO - Using split attention in VAE
2024-11-15 11:43:19,334 - root - INFO - Requested to load FluxClipModel_
2024-11-15 11:43:19,334 - root - INFO - Loading 1 new model
2024-11-15 11:43:19,365 - root - INFO - loaded completely 0.0 4903.231597900391 True
2024-11-15 11:43:44,347 - root - INFO - model weight dtype torch.float32, manual cast: None
2024-11-15 11:43:44,404 - root - INFO - model_type FLUX
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2024-11-15 11:43:44,822 - root - WARNING - lora key not loaded: double_blocks.9.processor.proj_lora1.down.weight
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2024-11-15 11:43:44,854 - root - INFO - Requested to load FluxClipModel_
2024-11-15 11:43:44,854 - root - INFO - Loading 1 new model
2024-11-15 11:44:45,985 - root - INFO - got prompt
2024-11-15 11:45:16,543 - root - INFO - Processing interrupted
2024-11-15 11:45:16,549 - root - INFO - Prompt executed in 118.94 seconds
2024-11-15 11:53:47,017 - root - INFO - got prompt
2024-11-15 11:53:47,104 - root - INFO - Requested to load Flux
2024-11-15 11:53:47,104 - root - INFO - Loading 1 new model
2024-11-15 11:53:47,250 - root - INFO - loaded completely 0.0 6476.4727783203125 True
2024-11-15 12:18:34,935 - root - INFO - Requested to load AutoencoderKL
2024-11-15 12:18:34,937 - root - INFO - Loading 1 new model
2024-11-15 12:18:35,010 - root - INFO - loaded completely 0.0 319.11416244506836 True
2024-11-15 12:18:35,253 - root - ERROR - !!! Exception during processing !!! Given groups=1, weight of size [4, 4, 1, 1], expected input[1, 16, 64, 64] to have 4 channels, but got 16 channels instead
2024-11-15 12:18:35,326 - root - ERROR - Traceback (most recent call last):
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 323, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 198, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 169, in _map_node_over_list
process_inputs(input_dict, i)
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 284, in decode
images = vae.decode(samples["samples"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 347, in decode
out = self.process_output(self.first_stage_model.decode(samples).to(self.output_device).float())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\ldm\models\autoencoder.py", line 199, in decode
dec = self.post_quant_conv(z)
^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 98, in forward
return super().forward(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 554, in forward
return self._conv_forward(input, self.weight, self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 549, in _conv_forward
return F.conv2d(
^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\_tensor.py", line 1512, in __torch_function__
ret = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Given groups=1, weight of size [4, 4, 1, 1], expected input[1, 16, 64, 64] to have 4 channels, but got 16 channels instead
2024-11-15 12:18:35,342 - root - INFO - Prompt executed in 1488.30 seconds
Attached Workflow
Please make sure that workflow does not contain any sensitive information such as API keys or passwords.
{"last_node_id":31,"last_link_id":60,"nodes":[{"id":5,"type":"EmptyLatentImage","pos":{"0":467,"1":692},"size":{"0":315,"1":106},"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[{"name":"LATENT","type":"LATENT","links":[53],"slot_index":0}],"properties":{"Node name for S&R":"EmptyLatentImage"},"widgets_values":[512,512,1]},{"id":8,"type":"VAEDecode","pos":{"0":1248,"1":192},"size":{"0":210,"1":46},"flags":{},"order":8,"mode":0,"inputs":[{"name":"samples","type":"LATENT","link":58},{"name":"vae","type":"VAE","link":47}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[9],"slot_index":0}],"properties":{"Node name for S&R":"VAEDecode"},"widgets_values":[]},{"id":9,"type":"SaveImage","pos":{"0":1249,"1":319},"size":{"0":985.3012084960938,"1":1060.3828125},"flags":{},"order":9,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":9}],"outputs":[],"properties":{},"widgets_values":["ComfyUI"]},{"id":31,"type":"CLIPTextEncode","pos":{"0":379,"1":458},"size":{"0":422.84503173828125,"1":164.31304931640625},"flags":{},"order":6,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":55}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[56],"slot_index":0}],"properties":{"Node name for S&R":"Negative Prompt"},"widgets_values":[""]},{"id":27,"type":"UnetLoaderGGUF","pos":{"0":-28,"1":280},"size":{"0":315,"1":58},"flags":{},"order":1,"mode":0,"inputs":[],"outputs":[{"name":"MODEL","type":"MODEL","links":[59],"slot_index":0,"shape":3}],"properties":{"Node name for S&R":"UnetLoaderGGUF"},"widgets_values":["flux1-dev-Q4_0.gguf"]},{"id":10,"type":"VAELoader","pos":{"0":865,"1":621},"size":{"0":342.8424072265625,"1":58},"flags":{},"order":2,"mode":0,"inputs":[],"outputs":[{"name":"VAE","type":"VAE","links":[47],"slot_index":0,"shape":3}],"properties":{"Node name for S&R":"VAELoader"},"widgets_values":["diffusion_pytorch_model.safetensors"]},{"id":30,"type":"KSampler","pos":{"0":871,"1":259},"size":{"0":315,"1":262},"flags":{},"order":7,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":60},{"name":"positive","type":"CONDITIONING","link":54},{"name":"negative","type":"CONDITIONING","link":56},{"name":"latent_image","type":"LATENT","link":53}],"outputs":[{"name":"LATENT","type":"LATENT","links":[58],"slot_index":0,"shape":3}],"properties":{"Node name for S&R":"KSampler"},"widgets_values":[186090833170789,"randomize",4,1,"euler","simple",1]},{"id":29,"type":"LoraLoader","pos":{"0":-20,"1":620},"size":{"0":352.6841735839844,"1":190.88589477539062},"flags":{},"order":4,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":59},{"name":"clip","type":"CLIP","link":49}],"outputs":[{"name":"MODEL","type":"MODEL","links":[60],"slot_index":0,"shape":3},{"name":"CLIP","type":"CLIP","links":[51,55],"slot_index":1,"shape":3},{"name":"STRING","type":"STRING","links":null,"slot_index":2,"shape":3}],"properties":{"Node name for S&R":"LoraLoader|pysssss"},"widgets_values":["lora.safetensors",1,1]},{"id":11,"type":"DualCLIPLoader","pos":{"0":-9,"1":445},"size":{"0":315,"1":106},"flags":{},"order":3,"mode":0,"inputs":[],"outputs":[{"name":"CLIP","type":"CLIP","links":[49],"slot_index":0,"shape":3}],"properties":{"Node name for S&R":"DualCLIPLoader"},"widgets_values":["model.safetensors","t5xxl_fp8_e4m3fn_scaled.safetensors","flux"]},{"id":6,"type":"CLIPTextEncode","pos":{"0":363,"1":231},"size":{"0":422.84503173828125,"1":164.31304931640625},"flags":{},"order":5,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":51}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[54],"slot_index":0}],"properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["Astronaut in a jungle, cold color palette, muted colors, very detailed, sharp focus"]}],"links":[[9,8,0,9,0,"IMAGE"],[47,10,0,8,1,"VAE"],[49,11,0,29,1,"CLIP"],[51,29,1,6,0,"CLIP"],[53,5,0,30,3,"LATENT"],[54,6,0,30,1,"CONDITIONING"],[55,29,1,31,0,"CLIP"],[56,31,0,30,2,"CONDITIONING"],[58,30,0,8,0,"LATENT"],[59,27,0,29,0,"MODEL"],[60,29,0,30,0,"MODEL"]],"groups":[],"config":{},"extra":{"ds":{"scale":0.6934334949441332,"offset":[197.4006043750865,-22.58295267413774]}},"version":0.4}
Additional Context
(Please add any additional context or steps to reproduce the error here)
### Other
_No response_
One of the models is probably wrong, I guess it's the VAE (suggestion: you need to better rename the models)
Try using this VAE: https://huggingface.co/black-forest-labs/FLUX.1-schnell/blob/main/ae.safetensors
Here if you need clip L and T5xxl text encoders: https://huggingface.co/comfyanonymous/flux_text_encoders/tree/main
Anyway, LoRA is also not compatible, this is why you have all those WARNING - lora key not loaded
For an accurate diagnosis, it is essential to clearly specify where each model you are using has been sourced from. (clip, vae, lora)
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Comment from a noob. July 2025, hope to get better. What I find with errors like this is that it depends on the models input. Your workflow can probably work if you use different inputs. I suggest you try different models to see which work. I had an error comment like this one only to find my workflow worked with a different checkpoint and VAE.
