Skill-Details
qianwen-video-generation
Erzeugt Videos mit Wan- und HappyHorse-Modellen, die Text-to-Video, Image-to-Video, erstes+letztes Frame, Referenz-Rollenspiel und VACE-Editing unterstützen.
Voraussetzungen (angegeben): Python
Vor Nutzung prüfen
Die automatische Prüfung bewertet Relevanz, nicht Sicherheit oder Empfehlung. Lies vor der Nutzung die Quellanweisungen.
SKILL.md
Dieser Auszug wurde bei der Prüfung gespeichert. Die externe Quelle enthält die vollständige und aktuelle Version.
---
name: qianwen-video-generation
description: "Generate videos using Wan and HappyHorse models. Supports text-to-video, image-to-video, first+last frame, reference-based role-play, and video editing (VACE). TRIGGER when: user wants to create, generate, or edit video content, mentions video generation/animation/video clips/Wan/HappyHorse models, or explicitly invokes this skill by name (e.g. use qianwen-video-generation). DO NOT TRIGGER when: user wants to generate images (use qianwen-image-generation), understand/analyze existing videos (use qianwen-vision), text-only tasks."
compatibility: "Requires Python 3.9+ and curl. Cursor: auto-loaded. Claude Code: read this skill's SKILL.md before first use."
---
# Qwen Video Generation
Generate videos using Wan and HappyHorse models. All tasks are **asynchronous** — submit, then poll until
completion.
This skill is part of **QianWen-AI/qianwen-ai**.
> **⚠️ Critical Parameter Differences:**
> - **kf2v (First+Last Frame)**: Duration is **fixed at 5 seconds** — other values will fail. Output is **silent only**.
> - **Resolution parameters vary by model family, not mode alone**: Check the current model catalog before choosing `size`, `resolution`, or `ratio`. For example, `happyhorse-1.1-t2v` uses `resolution` + `ratio`, while `wan2.6-t2v` uses `size`.
## Skill directory
Use this skill's internal files to execute and learn. Load reference files on demand when the default path fails or you need details.
| Location | Purpose |
|----------|---------|
| `scripts/video.py` | Default execution — mode auto-detect, submit, poll, download |
| `references/execution-guide.md` | Fallback: curl for all 5 modes, code generation |
| `references/request-fields.md` | Field tables and audio handling by mode |
| `references/workflows.md` | Duration extensions, multi-shot, VACE pipelines |
| `references/polling-guide.md` | Polling patterns and timing |
| `references/merge-media.md` | Concat, trim, audio overlay — ffmpeg/moviepy recipes |
| `references/prompt-guide.md` | Per-mode prompt formulas, sound description, multi-shot structure |
| `references/examples.md` | Full script examples per mode |
| `references/sources.md` | Official documentation URLs |
## Security
**NEVER output any API key or credential in plaintext.** Always use variable references (`$DASHSCOPE_API_KEY` in shell, `os.environ["DASHSCOPE_API_KEY"]` in Python). Any check or detection of credentials must be **non-plaintext**: report only status (e.g. "set" / "not set", "valid" / "invalid"), never the value. Never display contents of `.env` or config files that may contain secrets.
**When the API key is not configured, NEVER ask the user to provide it directly.** Instead, help create a `.env` file with a placeholder (`DASHSCOPE_API_KEY=sk-your-key-here`) and instruct the user to replace it with their actual key from the [QianWen Console](https://platform.qianwenai.com/home/api-keys). Only write the actual key value if the user explicitly requests it.
## Key Compatibility
Both PAYG (`sk-ws-...`; legacy `sk-...`) and Token Plan (`sk-sp-...`) keys are supported. Detect
the API key type without exposing the Key:
```bash
python3 -c "
import sys; sys.path.insert(0, 'scripts')
from qianwen_lib import detect_api_key_type
print(detect_api_key_type('scripts/qianwen_lib.py'))
"
```
| Output | Meaning |
|--------|---------|
| `token-plan` | Token Plan key — use only models from the Token Plan catalog below. |
| `payg` | Pay-as-you-go key — full model catalog available. |
| `not-set` | No key configured. |
For Token Plan, fetch and read the current [Token Plan model catalog](https://alioth.alicdn.com/skills-info/models/references/qianwen-token-plan-models.md), then use an exact listed model. If CDN access fails, use the [local fallback](cdn/references/qianwen-token-plan-models.md).
Token Plan does not support local file upload; for i2v/r2v/kf2v modes, provide reference images/videos
as accessible URLs (`https://` or `oss://`) rather than lVollständige Quelle auf GitHub lesen (öffnet externe Seite)