Delphin Resource

Delphin AI Video Editing Workflow for Clips, Audio, and Motion

Edit and extend video with a Delphin-style AI workflow that supports video uploads, audio references, image-to-video transitions, and Wan 2.7 video editing.

An AI-assisted video editing concept showing clip transformation and motion refinement

What this AI video editing page covers

Delphin supports edit-like generation workflows where you start from an existing asset instead of a blank prompt. That includes uploading video references, adding audio references on supported models, extending motion, and using Wan 2.7's video editing path for transformations.

The value here is not multi-track timeline editing. It is AI-assisted clip transformation and extension for teams who want to move faster from source footage to a new version.

  • Video upload support for clip-led workflows
  • Audio reference support on models that accept it
  • Wan 2.7 video editing for transformation and extension

How Delphin handles edit-like workflows

The strongest AI video editing use cases start with an existing visual asset. Instead of describing everything from scratch, you can anchor the output to a clip, still frame, or reference and tell the model what should change.

Clip extension and transformation

Upload a video when you want the output to preserve the source timing or structure while changing style, motion treatment, or scene direction.

Audio-aware direction

On supported models, audio references help guide beat, mood, or broader synchronization, which is useful for music-driven edits and stylized sequences.

Reference-led transitions

Image-to-video remains useful alongside editing workflows because many teams move from still concepts into motion tests before touching full clip transformation.

When to use AI video editing instead of starting from scratch

Use this workflow when you already have a clip, image, or sound direction worth preserving. Starting from source material usually gives you more continuity than asking a model to invent the full sequence from zero.

  • Transform an existing clip instead of recreating it
  • Extend motion from a source video or still frame
  • Guide the output with audio, image, or prompt references

FAQ

Is this a traditional timeline-based AI video editor?

No. This page is about AI-assisted editing workflows such as clip transformation, video extension, and reference-led motion, not a full timeline editor with tracks and manual trimming.

Can I upload video and audio references?

Yes. Delphin supports video uploads and, on supported models, audio references as part of the generation workflow.

Which model is most relevant for AI video editing here?

Wan 2.7 is the most direct fit because it includes a dedicated video editing path. Other models still help with image-to-video, reference-led motion, and related editing-style tasks.