Who should use the AI Background Generation workflow?
Teams or solo builders working on marketing tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
7-step pipeline — follow each step in order
1Setup · Step 1 of 7
Open task pageImage Generation
Prepare inputs and settings through Image Generation before running ai background generation.
Why this matters
Image Generation sets up the foundation for ai background generation; clean inputs here reduce downstream rework.
What you get
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
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2Input · Step 2 of 7
Open task pageBulk Article Generation
Use Bulk Article Generation to build supporting assets that improve ai background generation quality.
Why this matters
Bulk Article Generation strengthens ai background generation by feeding better supporting material into the pipeline.
What you get
Supporting assets from bulk article generation are prepared and connected to the main workflow.
3Input · Step 3 of 7
Open task pageRemove backgrounds from product photos
Use Remove backgrounds from product photos to build supporting assets that improve ai background generation quality.
Why this matters
Remove backgrounds from product photos strengthens ai background generation by feeding better supporting material into the pipeline.
What you get
Supporting assets from remove backgrounds from product photos are prepared and connected to the main workflow.
4Core · Step 4 of 7
Open task pageAI Background Generation
Execute ai background generation with AI Background Generation to produce the primary visual asset.
Why this matters
This is the core step where ai background generation actually happens, so it determines baseline quality for everything after it.
What you get
A first-pass visual asset is generated and ready for refinement in the next steps.
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5Refine · Step 5 of 7
Open task pageLead Generation
Refine and validate ai background generation output using Lead Generation before final delivery.
Why this matters
Lead Generation adds quality control so issues are caught before the workflow is finalized.
What you get
The visual asset is improved, validated, and prepared for final delivery.
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6Refine · Step 6 of 7
Open task pageAI Content Generation
Refine and validate ai background generation output using AI Content Generation before final delivery.
Why this matters
AI Content Generation adds quality control so issues are caught before the workflow is finalized.
What you get
The visual asset is improved, validated, and prepared for final delivery.
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7Deliver · Step 7 of 7
Open task pageBrand Guidelines Generation
Package and ship the output through Brand Guidelines Generation so ai background generation reaches end users.
Why this matters
Brand Guidelines Generation is what turns intermediate output into a usable, publishable result for real users.
What you get
A finalized visual asset is ready for publishing, handoff, or integration.