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 names

Use one of these exact model strings:

• wan2.6-r2v-flash
• wan2.6-r2v

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