ComfyUI-FString

ComfyUI-FString

A custom node for ComfyUI that allows you to format strings using Python's string formatting syntax.

Features

• Dynamic Inputs: The node accepts dynamic inputs. You can connect outputs from other nodes, and they will be available for formatting.
• String Formatting: Use standard Python .format() syntax {variable_name} in your template to substitute values.
• Tensor Support: Automatically converts Tensor inputs to a string representation of their shape (e.g., Tensor torch.Size([1, 512, 512, 3])).

Installation

1. Navigate to your ComfyUI custom_nodes directory.
2. Clone this repository:

   git clone https://github.com/danielwolber-wood/ComfyUI-FString.git
   

3. Restart ComfyUI.

Usage

1. Add the Simple F-String node to your workflow (Category: Learning/Text).
2. Connect any inputs you want to use in your string. The node handles dynamic inputs, so you can connect multiple values.
3. In the template text box, write your string using placeholders that match the input names.
   • Example: If you connect an input named model and another named seed, you can write:

     Processing with {model} using seed {seed}
     

4. The output formatted_string will contain the result.

Error Handling

• If a placeholder in the template does not match any connected input, the node will output an error message indicating the missing key.
• General exceptions during formatting are caught and returned as error strings.

AI Disclosure

The first draft of this README was written with AI, but was manually edited and checked for correctness.