Andrew Adams
Andrew Adams·Co-Founder & Operations at Wireflow

Node Based Video Generation

Build visual video generation pipelines by connecting AI model nodes on a drag-and-drop canvas

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Node Based Video Generation
Cinematic Video Scene Frame GeneratorOpen workflow

Our internal testing of 300+ node based video generation outputs across 10+ model variants revealed clear best practices for prompt structure, model selection, and output settings — all reflected in the workflow below.

Built on 300+ internal test generations during development
10+ AI models benchmarked for optimal output quality
30+ configurations tested to find the best defaults

How Node Based Video Generation Works

A node based video generation workflow breaks the video creation process into discrete steps. Each step is represented by a node on a canvas: a text prompt node feeds into an image generation node, which feeds into a video synthesis node. You draw connections between nodes to define the data flow, then execute the pipeline end to end. This modular approach gives you full control over every parameter at every stage, from the initial prompt to the final video output.

Capabilities

film

Visual Pipeline Builder

Drag and drop nodes onto an infinite canvas and connect them to define your video generation flow.

link

Multi-Model Chaining

Chain text, image, and video models in a single pipeline so each output becomes the next input automatically.

zap

One-Click Execution

Run your entire node graph with one click and watch results populate at each stage in real time.

refresh

Reusable Pipelines

Save completed workflows as templates and re-run them with different prompts or source images.

sliders

Parameter Control Per Node

Adjust resolution, motion intensity, model version, and other settings independently at each node.

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Cloud Execution

All processing runs on cloud GPUs. No local hardware requirements or driver configuration needed.

More Than Just Node Based Video Generation

Node Editor for Video

Build video pipelines the same way you build node based image generation workflows, with video model nodes added to the chain.

Node Editor for Video

Latest Video Models Built In

Access Kling 3 Pro and Veo 3.1 as native canvas nodes. See how they compare in our best node based video generation tools roundup.

Latest Video Models Built In

Image to Video in One Pipeline

Generate a still frame and animate it in a single graph. Connect any image node to your image to video AI node without leaving the canvas.

Image to Video in One Pipeline

Automate Video Production

Schedule pipeline runs or trigger them from external apps. Learn how teams use this for making animated videos with AI for YouTube.

Automate Video Production

Swap Models Without Rebuilding

Replace individual nodes to test different models while keeping the rest intact. Try Nano Banana 2 for fast iteration or Recraft V4 for design-grade frames.

Swap Models Without Rebuilding
Multi-Model

Node based video generation Workflows

Visual Builder

No Code Required

Production Ready

API & Batch Processing

FAQs

What is node based video generation?
Node based video generation is a workflow approach where each step of video creation is represented as a visual node on a canvas. You connect nodes for text input, image generation, and video synthesis to build a complete pipeline.
Do I need a GPU to use node based video workflows?
No. Wireflow runs all model inference on cloud GPUs, so you only need a browser. There are no local hardware requirements or driver installations.
Which video models are available as nodes?
Wireflow offers Kling 3 Pro and Veo 3.1 as video generation nodes. Image generation nodes include Nano Banana 2, Flux 2 Pro, and Recraft V4 for creating the source frames.
Can I chain image generation into video generation?
Yes. A common pattern is to connect a text prompt node to an image generator node, then wire that output into a video model node. The pipeline runs sequentially and each node receives the previous output.
How is this different from ComfyUI?
Wireflow is fully hosted with no setup required, while ComfyUI typically runs locally and needs GPU hardware. Wireflow also exposes every workflow as a REST API endpoint for programmatic execution.
Can I trigger video workflows via API?
Yes. Every workflow you build on the canvas gets a unique API endpoint. You can trigger it with a POST request, pass input parameters, and receive the generated video in the response.
What video formats does the output support?
Generated videos are delivered as MP4 files. Resolution and duration depend on the video model node you select. Kling supports up to 1080p at 5 or 10 second durations.
Can I save and reuse video generation workflows?
Yes. Completed workflows are saved to your account and can be duplicated, shared, or re-run with different inputs. You can also publish them as templates for your team.

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Andrew Adams

Written by

Andrew Adams

Co-Founder & Operations at Wireflow

Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.

Content StrategyClient Operations

Build Your First Video Pipeline

Connect AI model nodes on a visual canvas to create, iterate, and automate video generation workflows. No GPU or local setup required.

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