Organize AI workflows in Higgsfield Canvas

Demo summary
A walkthrough of Higgsfield Canvas, a node-based workspace that allows users to connect image and video models on an infinite board to maintain a visible generation pipeline.
Step-by-step
- Open the Higgsfield Canvas node-based workspace
- Add a reference image to the board
- Connect the reference node to an image model node
- Link the image output node to a video model node
- Save the completed canvas as a template to reuse the workflow
Options
- Swap inputs within a saved template to run the workflow again
- Connect prompts, references, images, and video generations on a single board
Watch out for
- Generation costs apply based on standard Higgsfield model pricing
Tips
- Use Canvas when a project moves beyond quick testing and requires a structured workspace from mood board to final output
- Keep the pipeline visible to avoid rebuilding from zero or searching through downloads for specific versions
Highlights
“The useful part is that the pipeline stays visible. You are not rebuilding from zero or digging through downloads to find the version that worked.”
AI Image Generator
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4:370:51Organize AI workflows in Higgsfield CanvasCurrentA walkthrough of Higgsfield Canvas, a node-based workspace that allows users to connect image and video models on an infinite board to maintain a visible generation pipeline.Malva AI
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6:131:25Setting up image sources in Higgsfield CanvasThe user demonstrates how to drag and drop a primary source image and multiple reference outfit images onto the Higgsfield Canvas to begin a workflow.Alwi Batarilan