pi-cavallo
v1.1.0
Published
Generate and edit video in pi using Alibaba HappyHorse models (I2V, T2V, R2V, Video-Edit).
Maintainers
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, andpromptExtend. - Audio Support: Wan2.7 models accept an
audioPathparameter 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-cavalloThen in pi:
/install pi-cavallo