alicloud-ai-video-wan-r2v▌
cinience/alicloud-skills · updated Apr 8, 2026
Category: provider
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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★54 reviews- ★★★★★Mia Srinivasan· Dec 24, 2024
alicloud-ai-video-wan-r2v fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Benjamin Zhang· Dec 24, 2024
Useful defaults in alicloud-ai-video-wan-r2v — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Nia Harris· Dec 20, 2024
We added alicloud-ai-video-wan-r2v from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ganesh Mohane· Dec 12, 2024
Registry listing for alicloud-ai-video-wan-r2v matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Nia Chawla· Dec 8, 2024
Registry listing for alicloud-ai-video-wan-r2v matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Nia Martin· Nov 27, 2024
Keeps context tight: alicloud-ai-video-wan-r2v is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ren Kim· Nov 15, 2024
alicloud-ai-video-wan-r2v is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Benjamin Torres· Nov 15, 2024
I recommend alicloud-ai-video-wan-r2v for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sakshi Patil· Nov 3, 2024
Keeps context tight: alicloud-ai-video-wan-r2v is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chaitanya Patil· Oct 22, 2024
I recommend alicloud-ai-video-wan-r2v for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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