Who should use the Inpainting and Outpainting workflow?
Teams or solo builders working on creativity tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Creativity
Practical execution plan for inpainting and outpainting with clear steps, mapped tools, and delivery-focused outcomes.
Deliverable outcome
A finalized final deliverable 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 final deliverable 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 Magic Eraser to inputs, context, and settings are ready so the workflow can move into execution without blockers. Then, you pass the output to Genmo to supporting assets from video inpainting are prepared and connected to the main workflow. Then, you pass the output to Mage.Space to a first-pass final deliverable is generated and ready for refinement in the next steps. Then, you pass the output to Imagine AI Art Generator to the final deliverable is improved, validated, and prepared for final delivery. Finally, Hotpot.ai AI Picture Restorer is used to a finalized final deliverable is ready for publishing, handoff, or integration.
AI Inpainting
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
Video Inpainting
Supporting assets from video inpainting are prepared and connected to the main workflow.
Inpainting and Outpainting
A first-pass final deliverable is generated and ready for refinement in the next steps.
Generative Inpainting
The final deliverable is improved, validated, and prepared for final delivery.
Neural Inpainting
A finalized final deliverable is ready for publishing, handoff, or integration.
Prepare inputs and settings through AI Inpainting before running inpainting and outpainting.
AI Inpainting sets up the foundation for inpainting and outpainting; clean inputs here reduce downstream rework.
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
Use Video Inpainting to build supporting assets that improve inpainting and outpainting quality.
Video Inpainting strengthens inpainting and outpainting by feeding better supporting material into the pipeline.
Supporting assets from video inpainting are prepared and connected to the main workflow.
Execute inpainting and outpainting with Inpainting and Outpainting to produce the primary final deliverable.
This is the core step where inpainting and outpainting actually happens, so it determines baseline quality for everything after it.
A first-pass final deliverable is generated and ready for refinement in the next steps.
Refine and validate inpainting and outpainting output using Generative Inpainting before final delivery.
Generative Inpainting adds quality control so issues are caught before the workflow is finalized.
The final deliverable is improved, validated, and prepared for final delivery.
Package and ship the output through Neural Inpainting so inpainting and outpainting reaches end users.
Neural Inpainting is what turns intermediate output into a usable, publishable result for real users.
A finalized final deliverable is ready for publishing, handoff, or integration.
§ Before you start
Teams or solo builders working on creativity 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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