Who should use the Virtual Model Generation workflow?
Teams or solo builders working on creativity 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 page3D Model Generation
Prepare inputs and settings through 3D Model Generation before running virtual model generation.
Why this matters
3D Model Generation sets up the foundation for virtual model 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.
2Input · Step 2 of 7
Open task pageVirtual Staging
Use Virtual Staging to build supporting assets that improve virtual model generation quality.
Why this matters
Virtual Staging strengthens virtual model generation by feeding better supporting material into the pipeline.
What you get
Supporting assets from virtual staging are prepared and connected to the main workflow.
3Input · Step 3 of 7
Open task pageAI Script Generation
Use AI Script Generation to build supporting assets that improve virtual model generation quality.
Why this matters
AI Script Generation strengthens virtual model generation by feeding better supporting material into the pipeline.
What you get
Supporting assets from ai script generation are prepared and connected to the main workflow.
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4Core · Step 4 of 7
Open task pageVirtual Model Generation
Execute virtual model generation with Virtual Model Generation to produce the primary final deliverable.
Why this matters
This is the core step where virtual model generation 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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5Refine · Step 5 of 7
Open task page3D Modeling
Refine and validate virtual model generation output using 3D Modeling before final delivery.
Why this matters
3D Modeling 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.
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6Refine · Step 6 of 7
Open task pageAI Avatar Generation
Refine and validate virtual model generation output using AI Avatar Generation before final delivery.
Why this matters
AI Avatar 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.
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7Deliver · Step 7 of 7
Open task pagePattern Generation
Package and ship the output through Pattern Generation so virtual model generation reaches end users.
Why this matters
Pattern Generation 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.
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