[BUG] - invalid literal for int() with base 10: 'None'

[RikkB]

Description

I read one previous report with this issue, but op said he had complicated workflow. Also response suggested using Prompt Saver to save metadata w images. I'm trying to read metadata from previously generated (ComfyUI) png images. The only node I have in my workspace is the Prompt Reader yet still get this error.

Reproduction steps

Start with clean, clear workspace Load only the Prompt Reader node Load image, either from slider or by upload Queue Prompt error generated

Image file

[RikkB]

Error occurred when executing SDPromptReader:

invalid literal for int() with base 10: 'None'

File "C:\Users\rickb\ComfyUI_windows_portable\ComfyUI\execution.py", line 153, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "C:\Users\rickb\ComfyUI_windows_portable\ComfyUI\execution.py", line 83, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "C:\Users\rickb\ComfyUI_windows_portable\ComfyUI\execution.py", line 76, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "C:\Users\rickb\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-prompt-reader-node\nodes.py", line 161, in load_image seed = int(

[receyuki]

Can you post the original image here?

[SwannSchilling]

Same here!

[RikkB]

Can you post the original image here?

Since I'm pretty new to all this, am wondering if the img was an SDXL generation and that's why it didn't work? Quite a bit of my work errors out, but haven't yet gotten organized enough to have separated the SD1.5 from the XL stuff early on. The reader does work on some of my images.

[SwannSchilling]

There was no image being generated in my case because of the error. But it was SDXL also...

[receyuki]

@RikkB @SwannSchilling The workflow in the image above uses Efficiency Nodes. Currently, the SD Prompt Reader does not support the Efficiency Node. In fact, this error message is due to the lack of support for custom nodes, not just the Efficiency Node.

The reason for this is quite simple: for each custom node, I have to support them individually. Although I have supported a large number of custom nodes, this is still an endless task. That's why I decided to create Prompt Saver node.

[SwannSchilling]

Thanks for the info! I guess that resolves the issue!

[RikkB]

Certainly understand that; can't go round n round for every new node that comes out. Thanks for the info.