veo-frames-to-video_skill

This skill generates smooth videos that morph between two frames using Veo 3.1, helping you create seamless transitions and storytelling visuals.
  • Shell

0

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill bluewaves-creations/bluewaves-skills --skill veo-frames-to-video

  • SKILL.md4.5 KB

Overview

This skill generates a smooth video bridging a first and last frame using the Veo 3.1 model via fal.ai. It creates interpolated motion and optional audio so you can produce time-lapses, scene morphs, or growth/ transformation animations from two static images. Quick to call from shell, Python, or JavaScript with simple parameters.

How this skill works

You provide a text prompt and URLs for the starting and ending frames. The service uses Veo 3.1 to interpolate frames over a chosen duration, aspect ratio, and resolution, and returns a hosted MP4 URL. Optional audio can be generated to match the visual transition.

When to use it

  • Create a time-lapse or day-to-night transition between two photos
  • Morph a real photo into a painting or another artistic style
  • Animate growth, transformation, or scene changes from a start and end frame
  • Produce short promotional clips from before/after product images
  • Generate smooth visual transitions for presentations or social content

Best practices

  • Use frames with similar camera composition and subject placement for the smoothest interpolation
  • Describe the motion and visual changes explicitly in the prompt (e.g., "lights gradually turn on")
  • Select longer duration (8s) for complex or slow transitions; shorter durations for quick effects
  • Prefer 720p for faster generation and 1080p for higher detail; adjust aspect ratio to match output use (16:9 for landscape, 9:16 for vertical)
  • Host input images on a reliable HTTPS URL and verify both are accessible before requesting generation

Example use cases

  • Time-lapse cityscape from morning to night with gradual lighting changes
  • Seasonal scene change from summer to winter showing leaves falling and snow accumulation
  • Interior design demo: empty room transforming into a furnished room
  • Botanical growth animation from seed to full plant for educational content
  • Portrait morphing from a photograph into an impressionist painting for artistic reels

FAQ

You must provide a prompt plus accessible HTTPS URLs for the first_frame and last_frame. Optional parameters include duration, resolution, aspect_ratio, and generate_audio.

What if generation fails with a 400 or poor result?

Check that both frame URLs are reachable and have similar composition. Simplify the prompt or shorten duration, and try 720p if timeouts occur.

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