Detalle del Skill
ai-video-generation
Enrutador de generación de video con IA entre los principales modelos de video, directamente sobre el tema.
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SKILL.md
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---
name: ai-video-generation
displayName: "AI Video Generation"
allowed-tools: Bash(runcomfy *)
description: >
Generate AI videos on RunComfy via the `runcomfy` CLI — a smart router
across the full video-model catalog: HappyHorse 1.0 (Arena #1, native
in-pass audio), Wan-AI Wan 2-7 (open weights, audio-driven lip-sync),
ByteDance Seedance v2 / 1-5 / 1-0 (multi-modal cinematic), Kling 3.0
/ 2-6, Google Veo 3-1, MiniMax Hailuo 2-3, ByteDance Dreamina 3-0.
Covers text-to-video (t2v), image-to-video (i2v), and Veo's
video-extend endpoint. The skill picks the right model for the user's
intent (Arena-#1 quality, multi-shot character identity, in-pass audio,
cinematic motion, fastest path, sub-15s clip, longest duration) and
ships each model's documented prompting patterns plus the minimal
`runcomfy run` invoke. Triggers on "generate video", "make a video",
"text to video", "t2v", "image to video", "i2v", "animate", "AI video",
"make X move", "video from prompt", "video from image", or any
explicit ask to produce a video clip from prompt or still.
homepage: https://www.runcomfy.com
license: MIT
---
# AI Video Generation
Generate videos with the full RunComfy video-model catalog through one CLI — text-to-video, image-to-video, and Veo's video-extend. This skill picks the right model for the user's intent and ships the documented prompt patterns + the exact `runcomfy run` invoke for each.
[runcomfy.com](https://www.runcomfy.com/?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-video-generation) · [Video models](https://www.runcomfy.com/models?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-video-generation) · [CLI docs](https://docs.runcomfy.com/cli/introduction?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-video-generation)
## Powered by the RunComfy CLI
```bash
# 1. Install (see runcomfy-cli skill for details)
npm i -g @runcomfy/cli # or: npx -y @runcomfy/cli --version
# 2. Sign in
runcomfy login # or in CI: export RUNCOMFY_TOKEN=<token>
# 3. Generate
runcomfy run <vendor>/<model>/<endpoint> \
--input '{"prompt": "..."}' \
--output-dir ./out
```
CLI deep dive: [`runcomfy-cli`](https://www.skills.sh/agentspace-so/runcomfy-agent-skills/runcomfy-cli) skill.
## Install this skill
```bash
npx skills add agentspace-so/runcomfy-agent-skills --skill ai-video-generation -g
```
---
## Pick the right model for the user's intent
### Text-to-video (t2v) — newest first
**HappyHorse 1.0** — `happyhorse/happyhorse-1-0/text-to-video` *(default)*
> Currently #1 on Artificial Analysis Video Arena. Native synchronized audio generated in-pass (no separate Foley step). Native 1080p, up to ~15s, strong multi-shot character consistency.
> Pick for: general-purpose t2v, ad creative with audio, social-media clips, multi-shot narratives.
> Avoid for: audio-driven lip-sync to a specific voiceover MP3 — use **Wan 2-7**.
**Kling 3.0 4K** — [`kling/kling-3.0/4k/text-to-video`](https://www.runcomfy.com/models/kling/kling-3.0/4k/text-to-video?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-video-generation)
> Kling's latest, 4K output, strong multi-shot character identity, premium camera language.
> Pick for: hero shots, final-delivery 4K cuts, multi-shot character narratives.
> Avoid for: cost-sensitive iteration — drop to **Kling 2-6 Pro** or **Standard** i2v.
**Seedance v2 Pro** — `bytedance/seedance-v2/pro`
> ByteDance flagship — multi-modal (up to 9 reference images, 3 reference videos, 3 reference audio), in-pass synchronized audio, cinematic motion refinement, lens language honored.
> Pick for: cinematic ad frames, multi-reference composition (subject + scene + audio refs), 21:9 anamorphic looks.
> Avoid for: simple "single prompt → clip" jobs — overpowered, slower.
**Seedance v2 Fast** — [`bytedance/seedance-v2/fast`](https://www.runcomfy.com/models/bytedance/seedance-v2/fast?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-video-generation)
> Faster variant ofLeer la fuente completa en GitHub (abre una página externa)