Model Nodes

Model nodes are the heart of every workflow — each one calls a model from Segmind's catalog: image generation and editing, video, audio, and large language models.

Adding a model

Open the model search in the sidebar and type a model's name. Pick a result to drop it onto the canvas as a configured node.

Video coming soon

Search the catalog and add a model to the canvas

https://segmind-resources.s3.amazonaws.com/docs/pixelflow/nodes/model-search-add.mp4

The parameter form

Each model node renders a form generated from the model's schema — the same parameters documented on the model's API page. Every parameter can be:

• Set directly in the form (a fixed value), or
• Wired from a connection — drag an edge from an upstream node onto the parameter's port, or
• Composed with template expressions — reference upstream outputs inside text fields, e.g. A photo of {{ input_1 }}, studio lighting.

Cost estimates

Model nodes show an estimated credit cost before you run them, so the price of a run is never a surprise. Actual usage appears in your billing dashboard.

LLMs and vision inputs

Language model nodes support:

• System prompts and chat history — chain LLM nodes into multi-turn conversations. See LLM chat history.
• Vision inputs — connect image inputs (or upstream image outputs) to vision-capable LLMs to describe, caption, or reason about images. Multiple images are supported.

Outputs

Model nodes display their results inline — image galleries, video and audio players, text. Outputs flow onward through the node's output ports; some models expose multiple ports (e.g. a video plus its final frame).

Status, time, and pinning

While running, nodes show live status (in&8209;progress, success, error) and report execution time when done. Successful nodes can be pinned to cache their output across runs — see pinning and caching.