Error when change width and heght

[xueqing0622]

Error occurred when executing Diffusers_X_Adapter:

requested an output size of (128, 128), but valid sizes range from [127, 95] to [128, 96] (for an input of torch.Size([64, 48]))

File "F:\ComfyUI\ComfyUI\execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-Diffusers-X-Adapter\nodes.py", line 273, in load_checkpoint
pipe(prompt=prompt_sdxl, negative_prompt=negative_prompt, prompt_sd1_5=prompt_sd1_5,
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-Diffusers-X-Adapter\pipeline\pipeline_sd_xl_adapter_controlnet.py", line 1117, in call
up_block_additional_residual = self.adapter(hidden_states)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\accelerate\hooks.py", line 165, in new_forward
output = module._old_forward(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-Diffusers-X-Adapter\xadapter\model\adapter.py", line 292, in forward
out = self.body[idx](x[i], output_size=output_size, temb=t)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-Diffusers-X-Adapter\xadapter\model\adapter.py", line 150, in forward
x = self.up_opt(x, output_size)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\ComfyUI\custom_nodes\ComfyUI-Diffusers-X-Adapter\xadapter\model\adapter.py", line 102, in forward
return self.op(x, output_size)
^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 948, in forward
output_padding = self._output_padding(
^^^^^^^^^^^^^^^^^^^^^
File "F:\ComfyUI\python_embeded\Lib\site-packages\torch\nn\modules\conv.py", line 659, in _output_padding
raise ValueError(

Close

[huan085128]

me too, can't change width and height

100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 50/50 [00:08<00:00,  5.75it/s]
  0%|                                                                                                                                            | 0/35 [00:04<?, ?it/s]
Traceback (most recent call last):
  File "/mnt/private/fuhuan/projects/X-Adapter/inference.py", line 124, in <module>
    run_inference(args)
  File "/mnt/private/fuhuan/projects/X-Adapter/inference.py", line 117, in run_inference
    inference_lora(args)
  File "/mnt/private/fuhuan/projects/X-Adapter/scripts/inference_lora.py", line 239, in inference_lora
    pipe(prompt=prompt, prompt_sd1_5=prompt_sd1_5, negative_prompt=negative_prompt, width=768,
  File "/root/miniconda3/envs/xadapter/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/mnt/private/fuhuan/projects/X-Adapter/pipeline/pipeline_sd_xl_adapter.py", line 987, in __call__
    noise_pred = self.unet(
  File "/root/miniconda3/envs/xadapter/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1194, in _call_impl
    return forward_call(*input, **kwargs)
  File "/root/miniconda3/envs/xadapter/lib/python3.10/site-packages/accelerate/hooks.py", line 165, in new_forward
    output = old_forward(*args, **kwargs)
  File "/mnt/private/fuhuan/projects/X-Adapter/model/unet_adapter.py", line 1019, in forward
    sample += up_block_additional_residual.pop(0)
RuntimeError: The size of tensor a (24) must match the size of tensor b (32) at non-singleton dimension 2

[Laidawang]

i fixed in #20, Try updating my code.