videogencnlisted

# videogencn - Chinese Video Generation Skill ## Overview Generate short video clips using Chinese video models across four providers — Alibaba Cloud Bailian (Wan/PixVerse/Kling/Vidu/HappyHorse), Volcengine Ark (Jimeng/即梦), MiniMax (海螺 AI), and Tencent Hunyuan (混元). Four modes, auto-selected from inputs: | Mode | Inputs | Default model | | ------ | -------- | --------------- | | t2v 文生视频 | prompt only | `wan2.7-t2v-2026-04-25` (Bailian) | | i2v 图生视频 | prompt + `--image` | `wan2.6-i2v-flash` (Bailian) | | kf2v 首尾帧 | prompt + `--image` + `--last-frame` | `pixverse/pixverse-c1-kf2v` (Bailian) | | r2v 参考生视频 | prompt + `--ref` (1-7 images) | `pixverse/pixverse-c1-r2v` (Bailian) | Video generation is **asynchronous**: submit → poll every 10s → download MP4. Result URLs expire after 24h, so the script always downloads immediately. Local images: Wan/HappyHorse accept base64 data URIs directly; PixVerse/Kling/Vidu auto-upload to DashScope OSS (48h); Jimeng/Hunyuan use base64; MiniMax uploads via its file API. ## When to Use This Skill - User asks to 生成视频 / 文生视频 / 图生视频 / 首尾帧 / 参考生视频 - User names a Chinese video model: 万相/Wan, 爱诗/PixVerse, 可灵/Kling, Vidu, HappyHorse, 即梦/Jimeng, 海螺/MiniMax, 混元/Hunyuan - User needs B-roll, animated stills, character-consistent clips, or frame transitions - User asks about model pricing, features, or wants to compare models → open `docs/models.html` ## Workflow ### Step 0: Prompt Refinement (interactive) **Run for t2v/i2v unless skipped** (see §