Model Studio Wan R2V

Critical model name

• 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

.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