skill
Ace Step
نبذة
# ACE Step — Pro Pack on RunComfy
Tag-driven music generation, inpainting, and outpainting with StepFun-AI's **ACE Step** open-weights model. Four CLI-reachable endpoints, $0.0002–0.0003 per second of audio, up to 4 minutes per call.
[runcomfy.com](https://www.runcomfy.com/?utm_source=skills.sh&utm_medium=skill&utm_campaign=ace-step) · [ACE Step base](https://www.runcomfy.com/models/acestep-ai/ace-step/text-to-audio?utm_source=skills.sh&utm_medium=skill&utm_campaign=ace-step) · [ACE Step 1.5](https://www.runcomfy.com/models/acestep-ai/ace-step-1.5/text-to-audio?utm_source=skills.sh&utm_medium=skill&utm_campaign=ace-step) · [CLI docs](https://docs.runcomfy.com/cli/introduction?utm_source=skills.sh&utm_medium=skill&utm_campaign=ace-step)
## Install this skill
```bash npx skills add agentspace-so/runcomfy-agent-skills --skill ace-step -g ```
## Powered by the RunComfy CLI
**Step 1 — install** (one of, see the `runcomfy-cli` skill for details):
```bash npm i -g @runcomfy/cli # global install npx -y @runcomfy/cli --version # zero-install ```
**Step 2 — sign in** (or set `RUNCOMFY_TOKEN` env var in CI / containers):
```bash runcomfy login ```
**Step 3 — generate**:
```bash runcomfy run acestep-ai/ace-step/text-to-audio \ --input '{"tags": "..."}' \ --output-dir ./out ```
CLI deep dive: [`runcomfy-cli`](https://www.skills.sh/agentspace-so/runcomfy-agent-skills/runcomfy-cli) skill.
---
## Pick the right endpoint
Listed newest first.
**ACE Step 1.5 (text-to-audio)** — `acestep-ai/ace-step-1.5/text-to-audio` > Latest ACE Step generation. **50+ language vocal support**, refined structured-lyric handling, otherwise same shape as base. Slightly higher cost ($0.0003/s vs $0.0002/s). > Pick for: multilingual lyrics, hero-quality vocal tracks, vocal songs that need clean section structure. > Avoid for: cost-sensitive batches where the base model is good enough.
**ACE Step (text-to-audio)** — `acestep-ai/ace-step/text-to-audio` *(default — cheap & fast)* > Original ACE Step. Tag-driven composition, optional lyrics, 5–240 s stereo. $0.0002/s — ~27× cheaper than ElevenLabs Music. > Pick for: high-volume drafts, background music, jingles, game loops, cost-sensitive iteration. > Avoid for: maximally polished commercial vocal hooks — try **ACE Step 1.5** or **ElevenLabs Music** for those.
**ACE Step (audio-inpaint)** — `acestep-ai/ace-step/audio-inpaint` > Regenerate a **time range** inside an existing track (not mask-based; uses `start_time` / `end_time` in seconds, each anchored to track start or end). > Pick for: fix a bad chorus in the middle, swap the bridge, replace a 20 s section without re-rendering the whole song. > Avoid for: edits that aren't time-bounded — those don't fit the schema.
**ACE Step (audio-outpaint)** — `acestep-ai/ace-step/audio-outpaint` > Extend an existing track **bidirectionally** — add intro before, outro after, or both. > Pick for: lengthening a 30 s draft into a 2 min cut, adding a fade-in, building a longer arrangement around an existing hook. > Avoid for: extending a track past 4 min total — chain calls instead.
---
## Route 1: ACE Step text-to-audio (default)
**Model**: `acestep-ai/ace-step/text-to-audio` (or `acestep-ai/ace-step-1.5/text-to-audio` for the 1.5 variant)
### Schema (both variants — same shape)
| Field | Type | Required | Default | Notes | |---|---|---|---|---| | `tags` | string | yes | — | **Comma-separated** genre / mood / instrument tags. Drives composition | | `lyrics` | string | no | — | Vocal content. Use section markers `[Verse]`, `[Chorus]`, `[Bridge]`. Use `[inst]` or `[instrumental]` for no vocals | | `duration` | int | no | `60` | Audio length in seconds. **5–240** (max 4 min per call) | | `seed` | int | no | `-1` | Reproducibility; `-1` randomizes |
**Pricing**: ACE Step $0.0002/s · ACE Step 1.5 $0.0003/s. 60 s ≈ $0.012 / $0.018; 240 s ≈ $0.048 / $0.072.
### Invoke
**Tag-driven instrumental:**
```bash runcomfy run acestep-ai/ace-step/text-to-audio \ --input '{ "tags": "lo-fi hip-hop, mellow, vinyl crackle, rhodes piano, soft drums, 75 BPM", "lyrics": "[inst]", "duration": 90 }' \ --output-dir ./out ```
**Full vocal song with structure (use 1.5 for multilingual):**
```bash runcomfy run acestep-ai/ace-step-1.5/text-to-audio \ --input '{ "tags": "indie pop, anthemic, electric guitar, driving drums, female vocal, 120 BPM", "lyrics": "[Verse]\nChalk on the palms, laces double-knotted\nMorning on the ridge, the sun is rising\n[Chorus]\nWe rise, we strike, we never fade out\nWe rise, we strike, we sing it loud\n[Bridge]\nSoft piano breakdown\n[Outro]\nFull band, fade", "duration": 60 }' \ --output-dir ./out ```
### Prompting tips
- **Tags do the heavy lifting** — be specific: `"lo-fi hip-hop, mellow, vinyl crackle, rhodes piano, soft drums, 75 BPM"` beats `"chill music"`. - **Include BPM** in tags when it matters — ACE respects tempo language. - **Lyrics with section markers**: `[Verse]`, `[Choru
التثبيت
شغل هذا الأمر
npx skills add prime-skills/runcomfy-agent-skillsيعمل مع
خطوات التثبيت
Install with `npx skills add prime-skills/runcomfy-agent-skills`, or clone the repository and copy the `ace-step` folder into your Claude skills directory.
أسئلة شائعة
كيف أثبت Ace Step؟
شغل هذا الأمر في الطرفية:
npx skills add prime-skills/runcomfy-agent-skillsمع أي أدوات ذكاء اصطناعي تعمل Ace Step؟
تعمل مع claude_app، claude_code، claude_api، cursor، codex، windsurf، cline، zed.
من طور Ace Step؟
طورها prime-skills، وتصدر بترخيص MIT.
هل Ace Step مجانية؟
نعم، يمكنك استخدامها مجانا وفق ترخيص MIT.
npx skills add vercel-labs/skills
npx skills add mattpocock/skills
npx skills add mattpocock/skills
npx skills add mattpocock/skills
npx skills add mattpocock/skills
npx skills add genmedia-labs/skills
افحص قبل التثبيت
شغل أي مصدر عبر فحوصاتنا - الظهور في الذكاء الاصطناعي والأمان والأداء واكتشاف التقنيات.
فحص أمني تلقائي للموقع
الأمان
محلل سرعة الصفحة
الأداء
اختبار جودة المحتوى العربي بالذكاء الاصطناعي
جودة المحتوى
مختبر وكلاء الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
كاشف منصة الموقع
الترحيل
تدقيق الظهور في محركات الذكاء الاصطناعي
الظهور في الذكاء الاصطناعي
مولد ملف llms.txt
الظهور في الذكاء الاصطناعي
مقياس سهولة القراءة بالعربية
جودة المحتوى
منشئ البيانات المنظمة
الظهور في الذكاء الاصطناعي
حاسبة تكاليف الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
محلل العناوين العربية
جودة المحتوى