Category: provider
Model Studio Wan Video
Validation
mkdir -p output/alicloud-ai-video-wan-video
python -m py_compile skills/ai/video/alicloud-ai-video-wan-video/scripts/generate_video.py && echo "py_compile_ok" > output/alicloud-ai-video-wan-video/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-video-wan-video/validate.txt is generated.
Output And Evidence
- Save task IDs, polling responses, and final video URLs to
output/alicloud-ai-video-wan-video/.
- Keep one end-to-end run log for troubleshooting.
Provide consistent video generation behavior for the video-agent pipeline by standardizing video.generate inputs/outputs and using DashScope SDK (Python) with the exact model name.
Critical model names
Use one of these exact model strings:
wan2.2-t2v-plus
wan2.2-t2v-flash
wan2.6-i2v-flash
wan2.6-i2v
wan2.6-i2v-us
wan2.6-t2v-us
wanx2.1-t2v-turbo
Prerequisites
- Install SDK (recommended in a venv to avoid PEP 668 limits):
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 (env takes precedence).
Normalized interface (video.generate)
Request
prompt (string, required)
negative_prompt (string, optional)
duration (number, required) seconds
fps (number, required)
size (string, required) e.g. 1280*720
seed (int, optional)
reference_image (string | bytes, optional for t2v, required for i2v family models)
motion_strength (number, optional)
Response
video_url (string)
duration (number)
fps (number)
seed (int)
Quick start (Python + DashScope SDK)
Video generation is usually asynchronous. Expect a task ID and poll until completion.
Note: Wan i2v models require an input image; pure t2v models can omit reference_image.
import os
from dashscope import VideoSynthesis
# Prefer env var for auth: export DASHSCOPE_API_KEY=...
# Or use ~/.alibabacloud/credentials with dashscope_api_key under [default].
def generate_video(req: dict) -> dict:
payload = {
"model": req.get("model", "wan2.6-i2v-flash"),
"prompt": req["prompt"],
"negative_prompt": req.get("negative_prompt"),
"duration": req.get("duration", 4),
"fps": req.get("fps", 24),
"size": req.get("size", "1280*720"),
"seed": req.get("seed"),
"motion_strength": req.get("motion_strength"),
"api_key": os.getenv("DASHSCOPE_API_KEY"),
}
if req.get("reference_image"):
# DashScope expects img_url for i2v models; local files are auto-uploaded.
payload["img_url"] = req["reference_image"]
response = VideoSynthesis.call(**payload)
# Some SDK versions require polling for the final result.
# If a task_id is returned, poll until status is SUCCEEDED.
result = response.output.get("results", [None])[0]
return {
"video_url": None if not result else result.get("url"),
"duration": response.output.get("duration"),
"fps": response.output.get("fps"),
"seed": response.output.get("seed"),
}
Async handling (polling)
import os
from dashscope import VideoSynthesis
task = VideoSynthesis.async_call(
model=req.get("model", "wan2.6-i2v-flash"),
prompt=req["prompt"],
img_url=req["reference_image"],
duration=req.get("duration", 4),
fps=req.get("fps", 24),
size=req.get("size", "1280*720"),
api_key=os.getenv("DASHSCOPE_API_KEY"),
)
final = VideoSynthesis.wait(task)
video_url = final.output.get("video_url")
Operational guidance
- Video generation can take minutes; expose progress and allow cancel/retry.
- Cache by
(prompt, negative_prompt, duration, fps, size, seed, reference_image hash, motion_strength).
- Store video assets in object storage and persist only URLs in metadata.
reference_image can be a URL or local path; the SDK auto-uploads local files.
- If you get
Field required: input.img_url, the reference image is missing or not mapped.
Size notes
- Use
WxH format (e.g. 1280*720).
- Prefer common sizes; unsupported sizes can return 400.
Output location
- Default output:
output/alicloud-ai-video-wan-video/videos/
- Override base dir with
OUTPUT_DIR.
Anti-patterns
- Do not invent model names or aliases; use official Wan i2v model IDs only.
- Do not block the UI without progress updates.
- Do not retry blindly on 4xx; handle validation failures explicitly.
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
1---2name: alicloud-ai-video-wan-video3description: 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 video.generate requests/responses, mapping prompt/negative_prompt/duration/fps/size/seed/reference_image/motion_strength, or integrating video generation into the video-agent pipeline.4---56Category: provider78# Model Studio Wan Video910## Validation1112```bash13mkdir -p output/alicloud-ai-video-wan-video14python -m py_compile skills/ai/video/alicloud-ai-video-wan-video/scripts/generate_video.py && echo "py_compile_ok" > output/alicloud-ai-video-wan-video/validate.txt15```1617Pass criteria: command exits 0 and `output/alicloud-ai-video-wan-video/validate.txt` is generated.1819## Output And Evidence2021- Save task IDs, polling responses, and final video URLs to `output/alicloud-ai-video-wan-video/`.22- Keep one end-to-end run log for troubleshooting.2324Provide consistent video generation behavior for the video-agent pipeline by standardizing `video.generate` inputs/outputs and using DashScope SDK (Python) with the exact model name.2526## Critical model names2728Use one of these exact model strings:29- `wan2.2-t2v-plus`30- `wan2.2-t2v-flash`31- `wan2.6-i2v-flash`32- `wan2.6-i2v`33- `wan2.6-i2v-us`34- `wan2.6-t2v-us`35- `wanx2.1-t2v-turbo`3637## Prerequisites3839- Install SDK (recommended in a venv to avoid PEP 668 limits):4041```bash42python3 -m venv .venv43. .venv/bin/activate44python -m pip install dashscope45```46- Set `DASHSCOPE_API_KEY` in your environment, or add `dashscope_api_key` to `~/.alibabacloud/credentials` (env takes precedence).4748## Normalized interface (video.generate)4950### Request51- `prompt` (string, required)52- `negative_prompt` (string, optional)53- `duration` (number, required) seconds54- `fps` (number, required)55- `size` (string, required) e.g. `1280*720`56- `seed` (int, optional)57- `reference_image` (string | bytes, optional for t2v, required for i2v family models)58- `motion_strength` (number, optional)5960### Response61- `video_url` (string)62- `duration` (number)63- `fps` (number)64- `seed` (int)6566## Quick start (Python + DashScope SDK)6768Video generation is usually asynchronous. Expect a task ID and poll until completion.69Note: Wan i2v models require an input image; pure t2v models can omit `reference_image`.7071```python72import os73from dashscope import VideoSynthesis7475# Prefer env var for auth: export DASHSCOPE_API_KEY=...76# Or use ~/.alibabacloud/credentials with dashscope_api_key under [default].7778def generate_video(req: dict) -> dict:79 payload = {80 "model": req.get("model", "wan2.6-i2v-flash"),81 "prompt": req["prompt"],82 "negative_prompt": req.get("negative_prompt"),83 "duration": req.get("duration", 4),84 "fps": req.get("fps", 24),85 "size": req.get("size", "1280*720"),86 "seed": req.get("seed"),87 "motion_strength": req.get("motion_strength"),88 "api_key": os.getenv("DASHSCOPE_API_KEY"),89 }9091 if req.get("reference_image"):92 # DashScope expects img_url for i2v models; local files are auto-uploaded.93 payload["img_url"] = req["reference_image"]9495 response = VideoSynthesis.call(**payload)9697 # Some SDK versions require polling for the final result.98 # If a task_id is returned, poll until status is SUCCEEDED.99 result = response.output.get("results", [None])[0]100101 return {102 "video_url": None if not result else result.get("url"),103 "duration": response.output.get("duration"),104 "fps": response.output.get("fps"),105 "seed": response.output.get("seed"),106 }107```108109## Async handling (polling)110111```python112import os113from dashscope import VideoSynthesis114115task = VideoSynthesis.async_call(116 model=req.get("model", "wan2.6-i2v-flash"),117 prompt=req["prompt"],118 img_url=req["reference_image"],119 duration=req.get("duration", 4),120 fps=req.get("fps", 24),121 size=req.get("size", "1280*720"),122 api_key=os.getenv("DASHSCOPE_API_KEY"),123)124125final = VideoSynthesis.wait(task)126video_url = final.output.get("video_url")127```128129## Operational guidance130131- Video generation can take minutes; expose progress and allow cancel/retry.132- Cache by `(prompt, negative_prompt, duration, fps, size, seed, reference_image hash, motion_strength)`.133- Store video assets in object storage and persist only URLs in metadata.134- `reference_image` can be a URL or local path; the SDK auto-uploads local files.135- If you get `Field required: input.img_url`, the reference image is missing or not mapped.136137## Size notes138139- Use `WxH` format (e.g. `1280*720`).140- Prefer common sizes; unsupported sizes can return 400.141142## Output location143144- Default output: `output/alicloud-ai-video-wan-video/videos/`145- Override base dir with `OUTPUT_DIR`.146147## Anti-patterns148149- Do not invent model names or aliases; use official Wan i2v model IDs only.150- Do not block the UI without progress updates.151- Do not retry blindly on 4xx; handle validation failures explicitly.152153## Workflow1541551) Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.1562) Run one minimal read-only query first to verify connectivity and permissions.1573) Execute the target operation with explicit parameters and bounded scope.1584) Verify results and save output/evidence files.159160## References161162- See `references/api_reference.md` for DashScope SDK mapping and async handling notes.163164- Source list: `references/sources.md`