LLM

The LLM node calls a language model and outputs text. On a generative canvas its most common job is prompt expansion: turn “sweet cat” into a vivid, concrete paragraph an image or video model can do justice to — that’s what its default system prompt is tuned for. It’s equally happy writing copy, summarizing, or describing a wired-in image.

Inputs	prompt (text), image (image, optional — for vision tasks)
Outputs	text

Parameters

Param	Notes
model	Gemini 3.7 Flash, Claude Opus 5 / Sonnet 5 / Haiku 4.5, GLM 5.3 Flash, GPT-5.6 Sol, GPT-5.1, GPT-4o-mini, Grok 4.5, Gemini 3.1 Flash Lite, Llama 4 Scout — every entry accepts an image input; pick per task.
prompt	Fallback prompt when the prompt input isn’t wired.
system	The system prompt. Default: expand a short idea into one vivid, generation-ready paragraph. Replace it to change the node’s job entirely.
prompt_enhancer	off / generic / cinematic — pre-expansion of the incoming prompt. Usually unnecessary here; the LLM is the enhancer.

Patterns

• Prompt amplifier — Text Prompt → LLM → Image/Video Gen. The classic. Keep your input short and let the model add subject detail, setting, lighting, mood.
• Style-locked writer — set system to your brand voice and feed it briefs; wire the output wherever copy is needed.
• Image describer — wire an image into image and ask for a detailed description; feed that to a generation node to riff on an existing look.
• Chain of two — a fast model (Haiku, Flash) to draft, a strong model (Opus, GPT-5.1) to refine. Each node’s output is inspectable, so you see what each step added.