AI Workflow Builder

The Tensor.Art Canvas Workflow Builder lets you create custom AI generation pipelines by chaining models, ControlNet modules, LoRAs, and post-processing steps. Build once, reuse forever — share your workflows with the community or keep them private for your projects.

Open Canvas

Key Features

  • Drag-and-drop node editor
  • Chain multiple AI models together
  • ControlNet & LoRA integration
  • Save & share reusable workflows

Frequently Asked Questions

What is an AI workflow on Tensor.Art?

A workflow is a chain of AI processing steps — such as text-to-image generation, ControlNet guidance, LoRA styling, and upscaling — connected in a visual node editor. You can build complex pipelines without writing code.

Can I share my workflows with others?

Yes. Publish your workflow to the Tensor.Art community, and other users can fork, remix, and run it. You can also keep workflows private for personal or commercial use.

Do I need coding experience to build workflows?

No. The Canvas Workflow Builder uses a visual drag-and-drop interface. Connect nodes, adjust parameters, and preview results — no programming required.

How many steps can a workflow have?

There is no hard limit on workflow steps. Complex workflows with 20+ nodes are common. Performance depends on the models used and your available credits.

Ready to Get Started?

Try AI Workflow Builder for free on Tensor.Art Canvas.

Launch Canvas