comfyui-various's People
comfyui-various's Issues
Mac Silicon Issue
Hi there, sorry for posting twice. I had initially posted feedback on the profile page and am not sure if that is correct. But, I'm having an issue using an Animate Diff workflow that points at one of your custom nodes. I was hoping you might have some feedback to help. I'm on a Mac book with an M3Pro chip and 18 gigs of RAM. I've tried installing the custom nodes manually, via the manager and via git clone. and I keep getting the following error when loading the workflow. Any help is completely appreciated . Upon loading comfy, I get the following error. Also, I am running a virtual environment and installed via Homebrew if that makes any difference.
When loading the graph, the following node types were not found:
JWInteger
Nodes that have failed to load will show as red on the graph.
Thank you for any help in advance!
Request to add a new feature: add webp/jpeg format in JWSaveImageSequence
Hi, your tools are very convenient!
Would you please add the webp/jpeg format with compress quality option in JWSaveImageSequence node?
Thanks!
Error occurred when executing JWMaskResize
For any mask I'm getting this:
Error occurred when executing JWMaskResize:
local variable 'image' referenced before assignment
File "C:\ComfyUI\ComfyUI\execution.py", line 153, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\ComfyUI\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:\ComfyUI\ComfyUI\execution.py", line 76, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "C:\ComfyUI\ComfyUI\custom_nodes\comfyui-various\comfyui_image_ops.py", line 356, in execute
image,
Does this node work for you?
JWFloatMax & JWIntegerMax wrong operation
Instead of Max, the node JWIntegerMax and JWFloatMax are doing min :
comfyui_primitive_ops.py
@generate_functional_node("jamesWalker55", "JWIntegerMax", "Integer Maximum") def _(a: int = 0, b: int = 0) -> tuple[int]: return (min(a, b),)
@generate_functional_node("jamesWalker55", "JWFloatMax", "Float Maximum") def _(a: float = 0, b: float = 0) -> tuple[float]: return (min(a, b),)
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