Who should use the Text Prompting 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 pageText-to-Audio
Prepare inputs and settings through Text-to-Audio before running text prompting.
Why this matters
Text-to-Audio sets up the foundation for text prompting; 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 pageText-to-Music Generation
Use Text-to-Music Generation to build supporting assets that improve text prompting quality.
Why this matters
Text-to-Music Generation strengthens text prompting by feeding better supporting material into the pipeline.
What you get
Supporting assets from text-to-music generation are prepared and connected to the main workflow.
3Input · Step 3 of 7
Open task pageGenerate unique visuals from text prompts
Use Generate unique visuals from text prompts to build supporting assets that improve text prompting quality.
Why this matters
Generate unique visuals from text prompts strengthens text prompting by feeding better supporting material into the pipeline.
What you get
Supporting assets from generate unique visuals from text prompts are prepared and connected to the main workflow.
4Core · Step 4 of 7
Open task pageText Prompting
Execute text prompting with Text Prompting to produce the primary final deliverable.
Why this matters
This is the core step where text prompting 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 pageGenerate Video from Text Prompt
Refine and validate text prompting output using Generate Video from Text Prompt before final delivery.
Why this matters
Generate Video from Text Prompt 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.
6Refine · Step 6 of 7
Open task pageGenerate 3D model from text prompt
Refine and validate text prompting output using Generate 3D model from text prompt before final delivery.
Why this matters
Generate 3D model from text prompt 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.
7Deliver · Step 7 of 7
Open task pageGenerate AI videos from text prompts
Package and ship the output through Generate AI videos from text prompts so text prompting reaches end users.
Why this matters
Generate AI videos from text prompts 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.