{
"prompt_id": "6621195b-28d7-49a5-a866-e4a95c18ef96",
"node_id": "LayerDiffuseDecode",
"node_type": "Inference_Core_LayeredDiffusionDecodeRGBA",
"executed": [
"NegativeCLIP_Base",
"PositiveCLIP_Base",
"Loras_Base",
"LayerDiffuseApply_Base",
"EmptyLatentImage",
"VAEDecode_1",
"CLIP_Skip_Base",
"CheckpointLoader_Base",
"Sampler"
],
"exception_message": "\u0027JoinImageWithAlpha\u0027 object has no attribute \u0027join_image_with_alpha\u0027\n",
"exception_type": "AttributeError",
"traceback": [
" File \u0022D:\\Program Files\\StabilityMatrix\\Data\\Packages\\ComfyUI\\execution.py\u0022, line 545, in execute\n 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, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\Program Files\\StabilityMatrix\\Data\\Packages\\ComfyUI\\execution.py\u0022, line 344, in get_output_data\n 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, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
" File \u0022D:\\Program Files\\StabilityMatrix\\Data\\Packages\\ComfyUI\\execution.py\u0022, line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n",
" File \u0022D:\\Program Files\\StabilityMatrix\\Data\\Packages\\ComfyUI\\execution.py\u0022, line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n",
" File \u0022D:\\Program Files\\StabilityMatrix\\Data\\Packages\\ComfyUI\\custom_nodes\\ComfyUI-Inference-Core-Nodes\\src\\inference_core_nodes\\layer_diffuse\\layered_diffusion.py\u0022, line 200, in decode\n return JoinImageWithAlpha().join_image_with_alpha(image, alpha)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"
],
"current_inputs": {
"samples": [
"{\u0027samples\u0027: tensor([[[[ 0.4873, -3.1766, -3.2595, ..., -3.4066, -3.6165, -0.9937],\n [ 0.3494, -2.8399, -4.2589, ..., -3.0939, -3.2803, -3.7262],\n [ 0.2351, -2.5118, -2.7873, ..., -3.1208, -3.4974, -2.3951],\n ...,\n [-0.1825, -3.1532, -3.3114, ..., -3.3945, -3.7119, -2.1431],\n [ 0.7719, -2.4098, -2.3472, ..., -2.5784, -2.2333, -2.7056],\n [ 2.7631, 0.5698, 0.9100, ..., 1.2236, -0.9272, 2.2076]],\n\n [[ 0.2077, 2.7147, 1.7040, ..., 1.7644, 2.4107, 5.4007],\n [ 2.8244, 5.7270, 3.4140, ..., 4.5915, 4.9302, 1.9848],\n [ 3.1956, 6.1816, 4.7460, ..., 4.8746, 5.6209, 6.1719],\n ...,\n [ 4.0994, 6.5723, 5.1450, ..., 4.9443, 5.2795, 5.3180],\n [ 9.6382, 8.3854, 8.0888, ..., 7.4203, 7.4186, 5.3428],\n [ 7.1010, 5.9382, 5.6023, ..., 5.1988, 1.6881, 6.9309]],\n\n [[-4.2837, -0.1149, 0.8458, ..., 1.2740, 1.0915, -1.4683],\n [-5.1273, 4.5579, 1.7723, ..., 5.8420, 4.9845, 0.7088],\n [-5.1250, 4.4405, 5.8401, ..., 6.0028, 4.8702, -0.7954],\n ...,\n [-4.8364, 4.8297, 5.7365, ..., 5.7840, 5.0592, -1.3880],\n [-6.7743, 3.9206, 4.4359, ..., 4.6125, 3.8575, -1.5224],\n [ 3.1536, 2.8318, 2.9230, ..., 3.1451, 5.1465, 2.9496]],\n\n [[ 0.3379, -5.9251, -5.4416, ..., -5.3508, -5.4175, -5.7946],\n [-1.6622, -4.2976, -6.1841, ..., -3.7529, -3.8038, -6.3267],\n [-1.5746, -4.2507, -3.5191, ..., -3.5414, -4.1572, -7.4483],\n ...,\n [-2.2253, -4.2251, -3.9220, ..., -3.9695, -3.9789, -6.9961],\n [-2.4473, -4.4898, -3.8672, ..., -4.1602, -4.0603, -6.5595],\n [-1.2748, -1.6410, -1.7208, ..., -1.9906, -1.8797, -1.6321]]]])}"
],
"images": [
"tensor([[[[0.4844, 0.5054, 0.5076],\n [0.5032, 0.5276, 0.5295],\n [0.5154, 0.5371, 0.5349],\n ...,\n [0.5649, 0.5859, 0.5645],\n [0.5703, 0.5889, 0.5693],\n [0.5708, 0.5889, 0.5718]],\n\n [[0.5068, 0.5325, 0.5386],\n [0.5142, 0.5383, 0.5396],\n [0.5342, 0.5552, 0.5522],\n ...,\n [0.5635, 0.5869, 0.5640],\n [0.5669, 0.5859, 0.5645],\n [0.5679, 0.5908, 0.5713]],\n\n [[0.5256, 0.5469, 0.5527],\n [0.5312, 0.5542, 0.5549],\n [0.5342, 0.5532, 0.5527],\n ...,\n [0.5640, 0.5859, 0.5630],\n [0.5664, 0.5854, 0.5640],\n [0.5664, 0.5889, 0.5703]],\n\n ...,\n\n [[0.5549, 0.5825, 0.5757],\n [0.5491, 0.5791, 0.5649],\n [0.5459, 0.5752, 0.5640],\n ...,\n [0.5654, 0.5889, 0.5693],\n [0.5659, 0.5864, 0.5698],\n [0.5630, 0.5869, 0.5723]],\n\n [[0.5515, 0.5835, 0.5786],\n [0.5479, 0.5786, 0.5688],\n [0.5439, 0.5747, 0.5674],\n ...,\n [0.5659, 0.5869, 0.5698],\n [0.5654, 0.5859, 0.5693],\n [0.5613, 0.5840, 0.5688]],\n\n [[0.5586, 0.5864, 0.5747],\n [0.5527, 0.5811, 0.5723],\n [0.5486, 0.5771, 0.5718],\n ...,\n [0.5698, 0.5938, 0.5737],\n [0.5688, 0.5923, 0.5742],\n [0.5713, 0.5918, 0.5732]]]])"
],
"sd_version": [
"SDXL"
],
"sub_batch_size": [
16
]
},
"current_outputs": [
"NegativeCLIP_Base",
"PositiveCLIP_Base",
"Loras_Base",
"LayerDiffuseApply_Base",
"LayerDiffuseApply_Refiner",
"EmptyLatentImage",
"VAEDecode_1",
"CLIP_Skip_Base",
"SaveImage",
"LayerDiffuseDecode",
"CheckpointLoader_Base",
"Sampler"
],
"timestamp": 1787108101465
}
What happened?
When I try to generate an image using Layer Diffuse (SDXL), I get this error:
Exception Details
Error message
{ "prompt_id": "6621195b-28d7-49a5-a866-e4a95c18ef96", "node_id": "LayerDiffuseDecode", "node_type": "Inference_Core_LayeredDiffusionDecodeRGBA", "executed": [ "NegativeCLIP_Base", "PositiveCLIP_Base", "Loras_Base", "LayerDiffuseApply_Base", "EmptyLatentImage", "VAEDecode_1", "CLIP_Skip_Base", "CheckpointLoader_Base", "Sampler" ], "exception_message": "\u0027JoinImageWithAlpha\u0027 object has no attribute \u0027join_image_with_alpha\u0027\n", "exception_type": "AttributeError", "traceback": [ " File \u0022D:\\Program Files\\StabilityMatrix\\Data\\Packages\\ComfyUI\\execution.py\u0022, line 545, in execute\n 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, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\Program Files\\StabilityMatrix\\Data\\Packages\\ComfyUI\\execution.py\u0022, line 344, in get_output_data\n 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, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \u0022D:\\Program Files\\StabilityMatrix\\Data\\Packages\\ComfyUI\\execution.py\u0022, line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n", " File \u0022D:\\Program Files\\StabilityMatrix\\Data\\Packages\\ComfyUI\\execution.py\u0022, line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n", " File \u0022D:\\Program Files\\StabilityMatrix\\Data\\Packages\\ComfyUI\\custom_nodes\\ComfyUI-Inference-Core-Nodes\\src\\inference_core_nodes\\layer_diffuse\\layered_diffusion.py\u0022, line 200, in decode\n return JoinImageWithAlpha().join_image_with_alpha(image, alpha)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n" ], "current_inputs": { "samples": [ "{\u0027samples\u0027: tensor([[[[ 0.4873, -3.1766, -3.2595, ..., -3.4066, -3.6165, -0.9937],\n [ 0.3494, -2.8399, -4.2589, ..., -3.0939, -3.2803, -3.7262],\n [ 0.2351, -2.5118, -2.7873, ..., -3.1208, -3.4974, -2.3951],\n ...,\n [-0.1825, -3.1532, -3.3114, ..., -3.3945, -3.7119, -2.1431],\n [ 0.7719, -2.4098, -2.3472, ..., -2.5784, -2.2333, -2.7056],\n [ 2.7631, 0.5698, 0.9100, ..., 1.2236, -0.9272, 2.2076]],\n\n [[ 0.2077, 2.7147, 1.7040, ..., 1.7644, 2.4107, 5.4007],\n [ 2.8244, 5.7270, 3.4140, ..., 4.5915, 4.9302, 1.9848],\n [ 3.1956, 6.1816, 4.7460, ..., 4.8746, 5.6209, 6.1719],\n ...,\n [ 4.0994, 6.5723, 5.1450, ..., 4.9443, 5.2795, 5.3180],\n [ 9.6382, 8.3854, 8.0888, ..., 7.4203, 7.4186, 5.3428],\n [ 7.1010, 5.9382, 5.6023, ..., 5.1988, 1.6881, 6.9309]],\n\n [[-4.2837, -0.1149, 0.8458, ..., 1.2740, 1.0915, -1.4683],\n [-5.1273, 4.5579, 1.7723, ..., 5.8420, 4.9845, 0.7088],\n [-5.1250, 4.4405, 5.8401, ..., 6.0028, 4.8702, -0.7954],\n ...,\n [-4.8364, 4.8297, 5.7365, ..., 5.7840, 5.0592, -1.3880],\n [-6.7743, 3.9206, 4.4359, ..., 4.6125, 3.8575, -1.5224],\n [ 3.1536, 2.8318, 2.9230, ..., 3.1451, 5.1465, 2.9496]],\n\n [[ 0.3379, -5.9251, -5.4416, ..., -5.3508, -5.4175, -5.7946],\n [-1.6622, -4.2976, -6.1841, ..., -3.7529, -3.8038, -6.3267],\n [-1.5746, -4.2507, -3.5191, ..., -3.5414, -4.1572, -7.4483],\n ...,\n [-2.2253, -4.2251, -3.9220, ..., -3.9695, -3.9789, -6.9961],\n [-2.4473, -4.4898, -3.8672, ..., -4.1602, -4.0603, -6.5595],\n [-1.2748, -1.6410, -1.7208, ..., -1.9906, -1.8797, -1.6321]]]])}" ], "images": [ "tensor([[[[0.4844, 0.5054, 0.5076],\n [0.5032, 0.5276, 0.5295],\n [0.5154, 0.5371, 0.5349],\n ...,\n [0.5649, 0.5859, 0.5645],\n [0.5703, 0.5889, 0.5693],\n [0.5708, 0.5889, 0.5718]],\n\n [[0.5068, 0.5325, 0.5386],\n [0.5142, 0.5383, 0.5396],\n [0.5342, 0.5552, 0.5522],\n ...,\n [0.5635, 0.5869, 0.5640],\n [0.5669, 0.5859, 0.5645],\n [0.5679, 0.5908, 0.5713]],\n\n [[0.5256, 0.5469, 0.5527],\n [0.5312, 0.5542, 0.5549],\n [0.5342, 0.5532, 0.5527],\n ...,\n [0.5640, 0.5859, 0.5630],\n [0.5664, 0.5854, 0.5640],\n [0.5664, 0.5889, 0.5703]],\n\n ...,\n\n [[0.5549, 0.5825, 0.5757],\n [0.5491, 0.5791, 0.5649],\n [0.5459, 0.5752, 0.5640],\n ...,\n [0.5654, 0.5889, 0.5693],\n [0.5659, 0.5864, 0.5698],\n [0.5630, 0.5869, 0.5723]],\n\n [[0.5515, 0.5835, 0.5786],\n [0.5479, 0.5786, 0.5688],\n [0.5439, 0.5747, 0.5674],\n ...,\n [0.5659, 0.5869, 0.5698],\n [0.5654, 0.5859, 0.5693],\n [0.5613, 0.5840, 0.5688]],\n\n [[0.5586, 0.5864, 0.5747],\n [0.5527, 0.5811, 0.5723],\n [0.5486, 0.5771, 0.5718],\n ...,\n [0.5698, 0.5938, 0.5737],\n [0.5688, 0.5923, 0.5742],\n [0.5713, 0.5918, 0.5732]]]])" ], "sd_version": [ "SDXL" ], "sub_batch_size": [ 16 ] }, "current_outputs": [ "NegativeCLIP_Base", "PositiveCLIP_Base", "Loras_Base", "LayerDiffuseApply_Base", "LayerDiffuseApply_Refiner", "EmptyLatentImage", "VAEDecode_1", "CLIP_Skip_Base", "SaveImage", "LayerDiffuseDecode", "CheckpointLoader_Base", "Sampler" ], "timestamp": 1787108101465 }Version
v2.16.2
What Operating System are you using?
Windows