Design & media

Alibaba Cloud AI Video Aishi Generation

Try it

Use when generating videos with Alibaba Cloud Model Studio PixVerse models (`pixverse/pixverse-v5.6-t2v`, `pixverse/pixverse-v5.6-it2v`, `pixverse/pixverse-v...

What it does

Use when generating videos with Alibaba Cloud Model Studio PixVerse models (`pixverse/pixverse-v5.6-t2v`, `pixverse/pixverse-v5.6-it2v`, `pixverse/pixverse-v...

The skill document

Category: provider

Model Studio Aishi Video Generation

Validation

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 output/aliyun-pixverse-generation/.
  • 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:
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, 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:

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:

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

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