阅读排版
---
name: happyhorse-1-0
displayName: "HappyHorse 1.0 — Pro Pack on RunComfy"
description: >
Generate text-to-video with HappyHorse 1.0 on RunComfy. Documents HappyHorse
1.0's strengths (#1 on Artificial Analysis Video Arena, native 1080p
with in-pass synchronized audio, multi-shot character consistency,
6-language prompt support), the duration / aspect-ratio / resolution
schema, and when to route to Wan 2.7 / Seedance 2 / LTX 2 instead.
Calls `runcomfy run happyhorse/happyhorse-1-0/text-to-video` through
the local RunComfy CLI. Triggers on "happyhorse", "happy horse",
"happyhorse 1.0", "happyhorse video", or any explicit ask to generate
video with this model.
homepage: https://www.runcomfy.com
license: MIT
---
# HappyHorse 1.0 — Pro Pack on RunComfy
[runcomfy.com](https://www.runcomfy.com/?utm_source=skills.sh&utm_medium=skill&utm_campaign=happyhorse-1-0) · [Text-to-video](https://www.runcomfy.com/models/happyhorse/happyhorse-1-0/text-to-video?utm_source=skills.sh&utm_medium=skill&utm_campaign=happyhorse-1-0) · [GitHub](https://github.com/agentspace-so/runcomfy-skills/tree/main/happyhorse-1-0)
**HappyHorse 1.0** — currently #1 on Artificial Analysis Video Arena (Elo 1333 t2v / 1392 i2v) — hosted on the **RunComfy Model API**. Native 1080p video with **in-pass synchronized audio** (dialogue, ambient, Foley) and multi-shot character consistency.
```bash
npx skills add agentspace-so/runcomfy-skills --skill happyhorse-1-0 -g
```
## When to pick this model (vs siblings)
| You want | Use |
|---|---|
| Multi-shot story with character / wardrobe consistency | **HappyHorse 1.0** |
| Native audio in the same generation pass | **HappyHorse 1.0** |
| Currently-#1 blind-vote video model | **HappyHorse 1.0** |
| Detailed lip-synced dialogue + reference video | Seedance 2.0 Pro |
| Fine motion control + multi-reference conditioning | Wan 2.7 |
| Ultra-fast iteration (sub-second per frame) | LTX 2 |
| Cinematic motion editing on existing footage | Kling Video O1 |
If the user said "HappyHorse" / "happy horse video" explicitly, route here regardless.
## Prerequisites
1. **RunComfy CLI** — `npm i -g @runcomfy/cli`
2. **RunComfy account** — `runcomfy login` opens a browser device-code flow.
3. **CI / containers** — set `RUNCOMFY_TOKEN=` instead of `runcomfy login`.
## Endpoints + input schema
### `happyhorse/happyhorse-1-0/text-to-video`
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
| `prompt` | string | yes | — | Up to 2,500 chars. 6 languages (CN/EN/JP/KR/DE/FR). |
| `aspect_ratio` | enum | no | `16:9` | `16:9`, `9:16`, `1:1`, `4:3`, `3:4` only. |
| `resolution` | enum | no | `1080P` | `720P` or `1080P`. |
| `duration` | int | no | 5 | 3–15 seconds. |
| `seed` | int | no | 0 | 0..2^31-1. Reuse for variant comparisons. |
| `watermark` | bool | no | true | Provider watermark. |
## How to invoke
**Default (16:9 1080p 5s):**
```bash
runcomfy run happyhorse/happyhorse-1-0/text-to-video \
--input '{"prompt": ""}' \
--output-dir
```
**Vertical short (9:16, 8s, no watermark):**
```bash
runcomfy run happyhorse/happyhorse-1-0/text-to-video \
--input '{
"prompt": "",
"aspect_ratio": "9:16",
"duration": 8,
"watermark": false
}' \
--output-dir
```
**Cheaper test pass (720p):**
```bash
runcomfy run happyhorse/happyhorse-1-0/text-to-video \
--input '{"prompt": "", "resolution": "720P", "duration": 3}' \
--output-dir
```
The CLI submits, polls every 2s until terminal, then downloads any `*.runcomfy.net` / `*.runcomfy.com` URL from the result into `--output-dir`. Stdout is the result JSON. Stderr is progress.
## Prompting — what actually works
**Describe motion over time, not a still.** "A woman turns from the window, walks two paces to the desk, picks up the cup, lifts it to her face, takes a sip" beats "a woman drinking coffee".
**Camera + shot in plain English.** Front-load the shot: `"Wide shot. ..."` / `"Tracking shot. ..."` / `"Locked tripod, low angle. ..."` works as a real directive. Specify lens feel: `"35mm anamorphic"`, `"shallow DOF"`, `"crushed shadows"`.
**One visual beat per clip when iterating.** Don't pile up "she walks AND the dog runs AND a car passes". Pick the beat, get it sharp, then layer with multi-shot prompts.
**Multi-shot consistency** — when describing two beats, restate the anchor at each: `"Shot 1: tall woman in red wool coat, blue scarf, in a rainy alley. Shot 2: same woman in red coat / blue scarf, now ducking under an awning."` HappyHorse holds the look but needs the anchor.
**Audio direction** — say what you want to hear: `"distant temple bells, footsteps on wet pavement, no dialogue"` or `"warm friendly tone, English"`.
**Anti-patterns:**
- Static-frame descriptions (no temporal verbs) → motion will be vague.
- Conflicting style directions → cancels.
- > 2500 char prompts → degrades.
- Aspect ratios outside the 5 supported → 422.
## Where it shines
| Use case | Why HappyHorse 1.0 |
|---|---|
| **Multi-shot brand stories with one consistent character** | Native cross-shot identity preservation |
| **Talking-head explainers needing in-clip voiceover + ambient** | Synchronized audio in the same pass |
| **Multilingual short-form ads** | 6 prompt languages, no script-quality drop |
| **Cinematic 1080p delivery** | Native 1080p output, broadcast-ready |
| **Blind-vote leader for general video quality** | #1 on Artificial Analysis Video Arena |
## Sample prompts (verified to produce strong results)
**From the model page (cinematic scope):**
```
Wide shot. A lone astronaut in dusty orange suit with blue-gray harness
skis across lunar plain, leaving parallel tracks in gray regolith.
Mid-stride, poles planted, pushing in 1/6th gravity with subtle upward
drift. Fine dust haze along ski tracks. Crescent Earth above lunar
horizon, blue-white glow against black sky. Raw sunlight, crushed
shadows, no fill. 8K photorealistic.
```
**Multi-shot consistency:**
```
Shot 1: Medium close-up. A woman in a navy trench coat enters a
rain-slick neon-lit Tokyo alley, looks left, holds up an umbrella.
Shot 2: Same woman in same navy trench, now under the awning of a
ramen shop, shaking water off the umbrella. Warm interior glow, soft
chatter, gentle rain on metal roof in the audio.
```
**Vertical platform-native:**
```
9:16 vertical short. A barista in a black apron pulls a single
espresso shot, steam rising into the morning sun, rich crema slowly
forming. Close-up handheld, shallow DOF, warm cafe ambience and the
hiss of the steam wand.
```
## Limitations
- **Duration cap 15s** — for longer narratives, segment into multi-shot prompts and stitch.
- **Aspect ratios** — only the 5 documented values; ultra-wide cinematic gets cropped or rejected.
- **Audio is in-pass only** — you can't pass external audio to drive lip-sync. For audio-driven lip-sync, use Wan 2.7 (which accepts an `audio_url`) or Seedance 2.0 Pro.
- **No free image-to-video on this template** — i2v is supported by HappyHorse via a separate pipeline; the t2v endpoint here is text-only.
## Exit codes
The `runcomfy` CLI uses sysexits-style codes:
| code | meaning |
|---|---|
| 0 | success |
| 64 | bad CLI args |
| 65 | bad input JSON / schema mismatch (e.g. `duration: 30` would 422) |
| 69 | upstream 5xx |
| 75 | retryable: timeout / 429 |
| 77 | not signed in or token rejected |
Full reference: [docs.runcomfy.com/cli/troubleshooting](https://docs.runcomfy.com/cli/troubleshooting?utm_source=skills.sh&utm_medium=skill&utm_campaign=happyhorse-1-0).
## How it works
1. The skill invokes `runcomfy run happyhorse/happyhorse-1-0/text-to-video` with a JSON body matching the schema.
2. The CLI POSTs to `https://model-api.runcomfy.net/v1/models/happyhorse/happyhorse-1-0/text-to-video` with the user's bearer token.
3. The Model API returns a `request_id`; the CLI polls `GET .../requests//status` every 2 seconds.
4. On terminal status, the CLI fetches `GET .../requests//result` and downloads any URL whose host ends with `.runcomfy.net` or `.runcomfy.com` into `--output-dir`. Other URLs are listed but not fetched.
5. `Ctrl-C` while polling sends `POST .../requests//cancel` so you don't get billed for GPU you stopped.
## What this skill is not
Not a self-hosted video runner. Not a capability grant — depends on a working RunComfy account.
## Security & Privacy
- **Token storage**: `runcomfy login` writes the API token to `~/.config/runcomfy/token.json` with mode 0600 (owner-only read/write). Set `RUNCOMFY_TOKEN` env var to bypass the file entirely in CI / containers.
- **Input boundary**: the user prompt is passed as a JSON string to the CLI via `--input`. The CLI does NOT shell-expand the prompt; it transmits the JSON body directly to the Model API over HTTPS. No shell injection surface from prompt content.
- **Third-party content**: image / mask / video URLs you pass are fetched by the RunComfy model server, not by the CLI on your machine. Treat external URLs as untrusted; image-based prompt injection is a known risk for any image-edit / video-edit model.
- **Outbound endpoints**: only `model-api.runcomfy.net` (request submission) and `*.runcomfy.net` / `*.runcomfy.com` (download whitelist for generated outputs). No telemetry, no callbacks.
- **Generated-file size cap**: the CLI aborts any single download > 2 GiB to prevent disk-fill from a malicious or runaway model output.
