Skill: cinience/aliyun-pixverse-generation (version 1.0.0)

--- name: aliyun-pixverse-generation description: Use when generating videos with Alibaba Cloud Model Studio PixVerse models (`pixverse/pixverse-v5.6-t2v`, `pixverse/pixverse-v5.6-it2v`, `pixverse/pixverse-v5.6-kf2v`, `pixverse/pixverse-v5.6-r2v`). Use when building non-Wan text-to-video, first-frame image-to-video, keyframe-to-video, or multi-image reference-to-video workflows on Model Studio. version: 1.0.0 --- Category: provider # Model Studio Aishi Video Generation ## Validation ```bash mkdir -p output/aliyun-pixverse-generation python -m py_compile skills/ai/video/aliyun-pixverse-generation/scripts/prepare_aishi_request.py && echo "py_compile_ok" > output/aliyun-pixverse-generation/validate.txt ``` Pass criteria: command exits 0 and `output/aliyun-pixverse-generation/validate.txt` is generated. ## Output And Evidence - Save normalized request payloads, chosen model variant, and task polling snapshots under [REDACTED_SECRET]. - Record region, resolution/size, duration, and whether audio generation was enabled. Use Aishi when the user explicitly wants the non-Wan PixVerse family for video generation. ## Critical model names Use one of these exact model strings: - `pixverse/pixverse-v5.6-t2v` - `pixverse/pixverse-v5.6-it2v` - `pixverse/pixverse-v5.6-kf2v` - `pixverse/pixverse-v5.6-r2v` Selection guidance: - Use `pixverse/pixverse-v5.6-t2v` for text-only generation. - Use `pixverse/pixverse-v5.6-it2v` for first-frame image-to-video. - Use `pixverse/pixverse-v5.6-kf2v` for first-frame + last-frame transitions. - Use `pixverse/pixverse-v5.6-r2v` for multi-image character/style consistency. ## Prerequisites - This family currently only supports China mainland (Beijing). - Install SDK or call HTTP directly: ```bash python3 -m venv .venv . .venv/bin/activate python -m pip install dashscope ``` - Set `DASHSCOPE_API_KEY` in your environment, or add `dashscope_api_key` to `~/.alibabacloud/credentials`. ## Normalized interface (video.generate) ### Request - `model` (string, required) - `prompt` (string, optional for `it2v`, required for other variants) - `media` (array<object>, optional) - `size` (string, optional): direct pixel size such as `1280*720`, used by `t2v` and `r2v` - `resolution` (string, optional): `360P`/`540P`/`720P`/`1080P`, used by `it2v` and `kf2v` - `duration` (int, required): `5`/`8`/`10`, except 1080P only supports `5`/`8` - `audio` (bool, optional) - `watermark` (bool, optional) - `seed` (int, optional) ### Response - `task_id` (string) - `task_status` (string) - `video_url` (string, when finished) ## Endpoint and execution model - Submit task: `POST https://dashscope.aliyuncs.com/api/v1/services/aigc/video-generation/video-synthesis` - Poll task: `GET https://dashscope.aliyuncs.com/api/v1/tasks/{task_id}` - HTTP calls are async only and must set header `X-DashScope-Async: enable`. ## Quick start Text-to-video: ```bash python skills/ai/video/aliyun-pixverse-generation/scripts/prepare_aishi_request.py \ --model pixverse/pixverse-v5.6-t2v \ --prompt "A compact robot walks through a rainy neon alley." \ --size 1280*720 \ --duration 5 ``` Image-to-video: ```bash python skills/ai/video/aliyun-pixverse-generation/scripts/prepare_aishi_request.py \ --model pixverse/pixverse-v5.6-it2v \ --prompt "The turtle swims slowly as the camera rises." \ --media image_url=https://example.com/turtle.webp \ --resolution 720P \ --duration 5 ``` ## Operational guidance - `t2v` and `r2v` use `size`; `it2v` and `kf2v` use `resolution`. - For `kf2v`, provide exactly one `first_frame` and one `last_frame`. - For `r2v`, you can pass up to 7 reference images. - Aishi returns task IDs first; do not treat the initial response as the final video result. ## Output location - Default output: `output/aliyun-pixverse-generation/request.json` - Override base dir with `OUTPUT_DIR`. ## References - `references/sources.md`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)