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pi-cavallo

v1.1.0

Published

Generate and edit video in pi using Alibaba HappyHorse models (I2V, T2V, R2V, Video-Edit).

Readme

pi-cavallo

Generate and edit video in pi using Alibaba DashScope models. Supports HappyHorse and Wan2.7, including text-to-video, image-to-video, reference-to-video, and video editing.

Models

Wan2.7

  • wan2.7-t2v (Text-to-Video)
  • wan2.7-i2v-2026-04-25 (Image-to-Video: first frame, last frame, video continuation)
  • wan2.7-r2v (Reference-to-Video)
  • wan2.7-videoedit (Video editing via instruction + reference images)

HappyHorse

  • happyhorse-1.0-t2v (Text-to-Video)
  • happyhorse-1.0-i2v (Image-to-Video)
  • happyhorse-1.0-r2v (Reference-to-Video, up to 9 images)
  • happyhorse-1.0-video-edit (Video editing via language + references)

Features

  • Non-blocking Execution: Submits to DashScope and polls in the background, freeing up the chat.
  • Smart Thumbnails: Automatically extracts and displays a thumbnail when the video finishes downloading using ffmpeg (if installed).
  • Finder Integration: Clickable markdown links to quickly reveal the exported video in Finder without launching it (open -R).
  • Headless Mode Support: Fully compatible with API usage or RPC mode.
  • Granular Control: Supports settings like resolution (defaulting to 720P for speed/cost), duration, aspectRatio, watermark, seed, and promptExtend.
  • Audio Support: Wan2.7 models accept an audioPath parameter for driving video with sound (Note: Audio requires a public HTTP/HTTPS URL per DashScope API).

Setup

The extension automatically pulls the Alibaba Cloud (API Key) from your internal Pi Models configuration (/models). Alternatively, set the environment variable:

export DASHSCOPE_API_KEY="your-key-here"

Install

npm install -g pi-cavallo

Then in pi:

/install pi-cavallo