[Feature Request] Information Loader Node
- Dominant language
- Python
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Description
(From a conversation in AI Revolution discord)
The concept is a general loader node that will have support for images/comment files. It will configure what kind of file it matches by the node it is connected to. Lora's for a lora loader node, ckpts for a ckpt loader node. (Said node requires its _file_name_ to be converted to inputs)
The node either does a search like previous nodes or has a pane with file names in it to one side. When one is selected, it then searches in a user-specified folder for an image that matches the filename and/or a txt/md file and shows them in a couple panes.
The goal is to have a more visual representation of the various files used in a workflow. The nodes can be handy for things like weights, keywords, or other important information.
If the node is loaded from workflow/image and can't find something, it should default to a welcome message or blank.
I think a different folder for these files is a good idea to make them easy for users to share and it keeps the model/lora/etc folders tidy.
options:
* Bonus points if it doesn't have to be an exact name match, but will use a list the user can go through (arrows?). The user can have different notes for versions or workflow generations, etc
* An option is to have a set of tabs/buttons on the node the user can use to select a file type, then search/select the file. This can be useful for things like embeddings, which don't have specific loaders, but still can have important information for the user.
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