Generate videos with Model Studio DashScope SDK using Wan i2v models (wan2.6-i2v-flash, wan2.6-i2v, wan2.6-i2v-us). Use when implementing or documenting vide...
设计与多媒体
Alibaba Cloud 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 refer...
它能做什么
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 refer...
技能文档
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
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
相关技能
Route Alibaba Cloud Model Studio requests to the right local skill (Qwen Image, Qwen Image Edit, Wan Video, Wan R2V, Qwen TTS, Qwen ASR and advanced TTS vari...
Tongyi Wanxiang 2.7 video model 鈥?one model covers text-to-video, first/last-frame-to-video, and reference-to-video.
Voice design workflows with Alibaba Cloud Model Studio Qwen TTS VD models. Use when creating custom synthetic voices from text descriptions and using them fo...
Generate AI images and videos with 25+ active models via Wuli.art open platform API. Use when creating images from text prompts, editing images with one or m...
Create and manage Alibaba Cloud IMS video translation jobs via OpenAPI (subtitle/voice/face). Use when you need API-based video translation, status polling,...