Who should use the Video Generation workflow?
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Work
Practical execution plan for video generation with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
A finalized video output is ready for publishing, handoff, or integration.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A finalized video output is ready for publishing, handoff, or integration.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Deforum to inputs, context, and settings are ready so the workflow can move into execution without blockers. Then, you pass the output to Tensor.art to supporting assets from ai video generation are prepared and connected to the main workflow. Then, you pass the output to Scenario to supporting assets from batch generation of images/videos/3d/sound are prepared and connected to the main workflow. Then, you pass the output to Hedra AI to a first-pass video output is generated and ready for refinement in the next steps. Then, you pass the output to Loom to the video output is improved, validated, and prepared for final delivery. Then, you pass the output to Pincel AI to the video output is improved, validated, and prepared for final delivery. Finally, Splitter.ai is used to a finalized video output is ready for publishing, handoff, or integration.
Text-to-Video Generation
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
AI Video Generation
Supporting assets from ai video generation are prepared and connected to the main workflow.
Batch Generation of Images/Videos/3D/Sound
Supporting assets from batch generation of images/videos/3d/sound are prepared and connected to the main workflow.
Video Generation
A first-pass video output is generated and ready for refinement in the next steps.
Summarize video content
The video output is improved, validated, and prepared for final delivery.
Inpainting
The video output is improved, validated, and prepared for final delivery.
Split audio from YouTube videos
A finalized video output is ready for publishing, handoff, or integration.
Prepare inputs and settings through Text-to-Video Generation before running video generation.
Text-to-Video Generation sets up the foundation for video generation; clean inputs here reduce downstream rework.
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
Use AI Video Generation to build supporting assets that improve video generation quality.
AI Video Generation strengthens video generation by feeding better supporting material into the pipeline.
Supporting assets from ai video generation are prepared and connected to the main workflow.
Use Batch Generation of Images/Videos/3D/Sound to build supporting assets that improve video generation quality.
Batch Generation of Images/Videos/3D/Sound strengthens video generation by feeding better supporting material into the pipeline.
Supporting assets from batch generation of images/videos/3d/sound are prepared and connected to the main workflow.
Execute video generation with Video Generation to produce the primary video output.
This is the core step where video generation actually happens, so it determines baseline quality for everything after it.
A first-pass video output is generated and ready for refinement in the next steps.
Refine and validate video generation output using Summarize video content before final delivery.
Summarize video content adds quality control so issues are caught before the workflow is finalized.
The video output is improved, validated, and prepared for final delivery.
Refine and validate video generation output using Inpainting before final delivery.
Inpainting adds quality control so issues are caught before the workflow is finalized.
The video output is improved, validated, and prepared for final delivery.
Package and ship the output through Split audio from YouTube videos so video generation reaches end users.
Split audio from YouTube videos is what turns intermediate output into a usable, publishable result for real users.
A finalized video output is ready for publishing, handoff, or integration.
§ Before you start
Teams or solo builders working on work tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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