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aliyun-pixverse-generation

aliyun-pixverse-generation

github.com/cinienceCreative & media39659 installsUpdated 11w ago
Repository

About aliyun-pixverse-generation

aliyun-pixverse-generation is a skill for preparing video-generation requests using the PixVerse model family in Alibaba Cloud Model Studio. It supports text, image, frame-transition, and multi-image reference workflows, with asynchronous task submission and polling.

Key features

  1. 01Prepare PixVerse video requests
  2. 02Support text-to-video generation
  3. 03Animate a first-frame image
  4. 04Create transitions between two frames
  5. 05Use multiple images for consistency

Use cases

  1. 01Generate a video from a text prompt
  2. 02Animate a supplied first-frame image
  3. 03Create a video transition between frames
  4. 04Maintain character or style across references

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/cinience/alicloud-skills --skill aliyun-pixverse-generation

After installing, type/aliyun-pixverse-generationin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

agents/
openai.yaml
references/
sources.md
scripts/
prepare_aishi_request.py

Details

From the project README

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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