Real node
video face swap
Face and identity
Build face and character workflows with references, not guesswork
DUTO is an AI image and video workflow builder for face and identity. It keeps the prompts, references, model choices, and batch steps behind face swap workflows on one editable canvas, so a setup that works can be saved, rerun, and improved instead of recreated from scratch.
DUTO helps creators organize face swap, character consistency, reference images, prompts, review notes, and model choices inside reusable image and video workflows.
Direct answer: DUTO is the workflow-first way to handle face and identity. Face and identity workflows need careful reference handling and review. DUTO keeps the inputs, outputs, and model steps visible so teams can work deliberately.
Last updated: June 10, 2026
Control
reference images
Safety
visible review flow
Positioning
Built around the workflow, not only the output
Face and identity workflows need careful reference handling and review. DUTO keeps the inputs, outputs, and model steps visible so teams can work deliberately.
Fit
Best for, and not for
Best for
- Creators
- Studios
- Character designers
- Agencies
- face swap workflows
- character consistency
Not for
- teams that only need a one-off face and identity result and never reuse it
- projects where a single isolated prompt result is the whole job
- buyers looking for one static ranking of every model or tool
Workflow
How to set up a reusable face and identity workflow
1
Start with a brief, reference, or template
Turn the creative intent into a reusable flow instead of a one-off prompt.
2
Connect models and prompt controls
Combine image, video, prompt builder, library, batch, and reasoning nodes on the visual canvas.
3
Run, inspect, and reuse the system
Keep the workflow editable so the next campaign, storyboard, or variation starts from a proven setup.
Inputs and outputs
Face and identity: what the workflow preserves
| Layer | What DUTO keeps visible | Why it matters |
|---|---|---|
| Inputs | briefs, prompts, references, and source assets for face and identity | the same creative context can be reused across runs |
| Workflow steps | model choices, prompt systems, and batch logic kept visible on the canvas | teams can compare and refine how face swap workflows are produced |
| Outputs | images, clips, variants, and handoff paths tied to the setup that made them | a successful run becomes a repeatable production system |
Caveat: model availability and behavior for face and identity change quickly. DUTO focuses on keeping the workflow repeatable, so teams can keep testing the models that fit their own production context rather than relying on any single result.
Use cases
What teams build with this workflow
CreatorsStudiosCharacter designersAgenciesface swap workflowscharacter consistencyreference-driven productioncreative review systems
Related
Related workflows and comparisons
Explore neighbouring DUTO workflow pages to find the closest fit for your production process.
FAQ
Questions teams ask before choosing DUTO
Can DUTO support face swap workflows?
DUTO includes workflow support around video face swap nodes where the configured model and user permissions allow that workflow.
How should teams handle identity-sensitive workflows?
Teams should keep references, consent context, model choices, outputs, and review steps visible. DUTO helps organize that workflow rather than hiding it inside one prompt.
Is DUTO a one-click face and identity tool?
No. DUTO is workflow-first: it keeps the prompts, references, model choices, and steps behind face swap workflows editable on one canvas instead of hiding them behind a single button.
Can a face and identity workflow be reused later?
Yes. The point of DUTO is reuse: a face and identity setup that works can be saved as a workflow and rerun for the next campaign, product, or variation without rebuilding it.