Who should use the Edge Refinement workflow?
Teams or solo builders working on creativity tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
4-step pipeline — follow each step in order
1Setup · Step 1 of 4
Open task pageAutomated Removal
Prepare inputs and settings through Automated Removal before running edge refinement.
Why this matters
Automated Removal sets up the foundation for edge refinement; clean inputs here reduce downstream rework.
What you get
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
2Core · Step 2 of 4
Open task pageEdge Refinement
Execute edge refinement with Edge Refinement to produce the primary final deliverable.
Why this matters
This is the core step where edge refinement actually happens, so it determines baseline quality for everything after it.
What you get
A first-pass final deliverable is generated and ready for refinement in the next steps.
More options
3Refine · Step 3 of 4
Open task pageAlpha Channel Generation
Refine and validate edge refinement output using Alpha Channel Generation before final delivery.
Why this matters
Alpha Channel Generation adds quality control so issues are caught before the workflow is finalized.
What you get
The final deliverable is improved, validated, and prepared for final delivery.
4Deliver · Step 4 of 4
Open task pageGenetic Aesthetic Refinement
Package and ship the output through Genetic Aesthetic Refinement so edge refinement reaches end users.
Why this matters
Genetic Aesthetic Refinement is what turns intermediate output into a usable, publishable result for real users.
What you get
A finalized final deliverable is ready for publishing, handoff, or integration.