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alicloud-ai-video-wan-r2v

Skill1 starsChanged 15 days agoMITView on GitHub

Generate reference-based videos with Alibaba Cloud Model Studio Wan R2V (wan2.6-r2v-flash). Use when creating multi-shot videos from reference video/image material, preserving character style, or documenting reference-to-video request/response flows.

  • Reads credentials
  • Installs packages

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use Wan R2V for reference-to-video generation.

    line 10
  2. Distinctive:

    Use ONLY this exact model string:

    line 14
  3. Distinctive:

    Prefer async submission for production traffic.

    line 46
  4. Very specific:

    Stop polling when SUCCEEDED or terminal failure status is returned.

    line 48

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Category: provider

Model Studio Wan R2V

Use Wan R2V for reference-to-video generation. This is different from i2v (single image to video).

Critical model name

Use ONLY this exact model string:

  • wan2.6-r2v-flash

Prerequisites

  • Install SDK in a virtual environment:
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_reference)

Request

  • prompt (string, required)
  • reference_video (string | bytes, required)
  • reference_image (string | bytes, optional)
  • duration (number, optional)
  • fps (number, optional)
  • size (string, optional)
  • seed (int, optional)

Response

  • video_url (string)
  • task_id (string, when async)
  • request_id (string)

Async handling

  • Prefer async submission for production traffic.
  • Poll task result with 15-20s intervals.
  • Stop polling when SUCCEEDED or terminal failure status is returned.

Local helper script

Prepare a normalized request JSON and validate response schema:

.venv/bin/python skills/ai/video/alicloud-ai-video-wan-r2v/scripts/prepare_r2v_request.py \
  --prompt "Generate a short montage with consistent character style" \
  --reference-video "https://example.com/reference.mp4"

Output location

  • Default output: output/ai-video-wan-r2v/videos/
  • Override base dir with OUTPUT_DIR.

References

  • references/sources.md

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