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- got prompt
- Using xformers attention in VAE
- Using xformers attention in VAE
- Requested to load FluxClipModel_
- Loading 1 new model
- loaded completely 0.0 9319.23095703125 True
- clip missing: ['text_projection.weight']
- Requested to load AutoencodingEngine
- Loading 1 new model
- loaded completely 0.0 159.87335777282715 True
- model weight dtype torch.bfloat16, manual cast: None
- model_type FLUX
- !!! Exception during processing !!! Error(s) in loading state_dict for Flux:
- size mismatch for img_in.weight: copying a param with shape torch.Size([3072, 384]) from checkpoint, the shape in current model is torch.Size([3072, 64]).
- Traceback (most recent call last):
- File "C:\ai\ComfyUI-Windows-Portable-01\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 "C:\ai\ComfyUI-Windows-Portable-01\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 "C:\ai\ComfyUI-Windows-Portable-01\ComfyUI\execution.py", line 169, in _map_node_over_list
- process_inputs(input_dict, i)
- File "C:\ai\ComfyUI-Windows-Portable-01\ComfyUI\execution.py", line 158, in process_inputs
- results.append(getattr(obj, func)(**inputs))
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- File "C:\ai\ComfyUI-Windows-Portable-01\ComfyUI\nodes.py", line 885, in load_unet
- model = comfy.sd.load_diffusion_model(unet_path, model_options=model_options)
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- File "C:\ai\ComfyUI-Windows-Portable-01\ComfyUI\comfy\sd.py", line 740, in load_diffusion_model
- model = load_diffusion_model_state_dict(sd, model_options=model_options)
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- File "C:\ai\ComfyUI-Windows-Portable-01\ComfyUI\comfy\sd.py", line 731, in load_diffusion_model_state_dict
- model.load_model_weights(new_sd, "")
- File "C:\ai\ComfyUI-Windows-Portable-01\ComfyUI\comfy\model_base.py", line 224, in load_model_weights
- m, u = self.diffusion_model.load_state_dict(to_load, strict=False)
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- File "C:\ai\ComfyUI-Windows-Portable-01\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 2584, in load_state_dict
- raise RuntimeError(
- RuntimeError: Error(s) in loading state_dict for Flux:
- size mismatch for img_in.weight: copying a param with shape torch.Size([3072, 384]) from checkpoint, the shape in current model is torch.Size([3072, 64]).
- Prompt executed in 76.85 seconds
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