Prompt Concatenator Nodes

Prompt Concatenator Nodes combine multiple text inputs into a single output, joined by a configurable separator. They enable modular prompt engineering — build prompts from separate components (subject, style, setting, technical specs) and merge them into one comprehensive prompt.

What is a Prompt Concatenator Node?

Instead of writing one massive prompt, you can break it into logical parts across multiple Text Nodes, then use a Concatenator to merge them. This makes prompts easier to manage, reuse, and iterate on.

Inputs & Outputs

Port	Direction	Type	Description
input (multiple)	In	Text	Multiple text inputs from Text, List Selector, JSON Parser, Fetch, Concatenator
output	Out	Text	Combined text → Scene, Reference Image, AI Voice, Text, Split Text, HTML, If/Else, AI If/Else, Canvas, Network Image, Network Video, Google Drive Export

Inspector Controls

Separator

How to join the input texts:

Newline (default) — each input on its own line
Space — inputs separated by spaces
Comma — inputs separated by commas
Custom — any separator text (e.g., ” | ” or ” --- “)

Input Order

Inputs are concatenated in the order they are connected. The first connection appears first in the output.

How to Use

Add a Prompt Concatenator to the canvas
Connect 2 or more text sources to its input ports
Choose the separator
Connect the output to a generation node (Scene, Reference Image, etc.)

Workflow Example

Modular Prompt Engineering: Text Node A (“A medieval knight in shining armor”) + Text Node B (“cinematic lighting, 8K, photorealistic”) + Text Node C (“forest background with fog”) → Prompt Concatenator (separator: ”, ”) → Reference Image Node → generates an image combining all three prompt aspects.

Dynamic + Static Combination: Text Node (Static: “professional product photography, white background”) + Fetch → JSON Parser (product name) → Concatenator → Reference Image → generates consistent product shots with dynamic product names.

Tips & Best Practices

Modular prompts are easier to iterate — change just the style component without rewriting the whole prompt
Use newline separator for prompts that work like instructions (each line is a separate instruction)
Use comma separator for prompts that work like tag lists (subject, style, quality)
Input order affects prompt weight — most AI models give more weight to text that appears earlier
You can chain Concatenators for complex prompt structures
Combine with Global Context for project-wide style consistency

Troubleshooting

Missing input

One of the connected nodes hasn’t produced output yet. Make sure all upstream nodes have been executed.

Wrong order

Inputs are concatenated in connection order. Disconnect and reconnect in the desired order if needed.

Output too long

Some models have prompt length limits. Keep individual components concise and remove redundant descriptions.