Who should use the AI Inpainting 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 pageInpainting and Outpainting
Prepare inputs and settings through Inpainting and Outpainting before running ai inpainting.
Why this matters
Inpainting and Outpainting sets up the foundation for ai inpainting; 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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2Core · Step 2 of 4
Open task pageAI Inpainting
Execute ai inpainting with AI Inpainting to produce the primary final deliverable.
Why this matters
This is the core step where ai inpainting 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.
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3Refine · Step 3 of 4
Open task pageVideo Inpainting
Refine and validate ai inpainting output using Video Inpainting before final delivery.
Why this matters
Video Inpainting 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 pageGenerative Inpainting
Package and ship the output through Generative Inpainting so ai inpainting reaches end users.
Why this matters
Generative Inpainting 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.