alicloud-ai-video-wan-r2v
Generate reference-based videos with Alibaba Cloud Model Studio Wan R2V models (wan2.6-r2v-flash, wan2.6-r2v). Use when creating multi-shot videos from reference video/image material, preserving character style, or documenting reference-to-video request/response flows.
How do I install this agent skill?
npx skills add https://github.com/cinience/alicloud-skills --skill alicloud-ai-video-wan-r2vIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill is safe. It provides a structured workflow and helper scripts for generating videos using Alibaba Cloud's Wan R2V models via the official DashScope SDK. It follows standard security practices for credential management and local file operations, and its external references point to official documentation.
- Socketpass
No alerts
- Snykwarn
Risk: MEDIUM · 1 issue
- Runlayerwarn
3/4 files flagged
What does this agent skill do?
Category: provider
Model Studio Wan R2V
Validation
mkdir -p output/alicloud-ai-video-wan-r2v
python -m py_compile skills/ai/video/alicloud-ai-video-wan-r2v/scripts/prepare_r2v_request.py && echo "py_compile_ok" > output/alicloud-ai-video-wan-r2v/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-video-wan-r2v/validate.txt is generated.
Output And Evidence
- Save reference input metadata, request payloads, and task outputs in
output/alicloud-ai-video-wan-r2v/. - Keep at least one polling result snapshot.
Use Wan R2V for reference-to-video generation. This is different from i2v (single image to video).
Critical model names
Use one of these exact model strings:
wan2.6-r2v-flashwan2.6-r2v
Newer official releases may prefer the flash variant for lower latency and lower cost.
Prerequisites
- Install SDK in a virtual environment:
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
- Set
DASHSCOPE_API_KEYin your environment, or adddashscope_api_keyto~/.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
SUCCEEDEDor 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/alicloud-ai-video-wan-r2v/videos/ - Override base dir with
OUTPUT_DIR.
Workflow
- Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
- Run one minimal read-only query first to verify connectivity and permissions.
- Execute the target operation with explicit parameters and bounded scope.
- Verify results and save output/evidence files.
References
references/sources.md
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/cinience/alicloud-skills/alicloud-ai-video-wan-r2v">View alicloud-ai-video-wan-r2v on skillZs</a>