Who should use the Generative Fill 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 generative fill 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 Evoto AI to inputs, context, and settings are ready so the workflow can move into execution without blockers. Then, you pass the output to Leonardo AI to supporting assets from create generative art are prepared and connected to the main workflow. Then, you pass the output to iStock Editor to a first-pass final deliverable is generated and ready for refinement in the next steps. Then, you pass the output to MyEdit to the final deliverable is improved, validated, and prepared for final delivery. Finally, Imagine AI Art Generator is used to a finalized final deliverable is ready for publishing, handoff, or integration.
AI Skin Retouching
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
Create generative art
Supporting assets from create generative art are prepared and connected to the main workflow.
Generative Fill
A first-pass final deliverable is generated and ready for refinement in the next steps.
AI Generative Art
The final deliverable is improved, validated, and prepared for final delivery.
Generative Inpainting
A finalized final deliverable is ready for publishing, handoff, or integration.
Prepare inputs and settings through AI Skin Retouching before running generative fill.
AI Skin Retouching sets up the foundation for generative fill; clean inputs here reduce downstream rework.
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
Use Create generative art to build supporting assets that improve generative fill quality.
Create generative art strengthens generative fill by feeding better supporting material into the pipeline.
Supporting assets from create generative art are prepared and connected to the main workflow.
Execute generative fill with Generative Fill to produce the primary final deliverable.
This is the core step where generative fill 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 generative fill output using AI Generative Art before final delivery.
AI Generative Art 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 Generative Inpainting so generative fill reaches end users.
Generative 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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