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:
wan2.6-i2v-flash
wan2.6-i2v
wan2.6-i2v-us
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, 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; map reference_image to img_url.
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- `wan2.6-i2v-flash`30- `wan2.6-i2v`31- `wan2.6-i2v-us`3233## Prerequisites3435- Install SDK (recommended in a venv to avoid PEP 668 limits):3637```bash38python3 -m venv .venv39. .venv/bin/activate40python -m pip install dashscope41```42- Set `DASHSCOPE_API_KEY` in your environment, or add `dashscope_api_key` to `~/.alibabacloud/credentials` (env takes precedence).4344## Normalized interface (video.generate)4546### Request47- `prompt` (string, required)48- `negative_prompt` (string, optional)49- `duration` (number, required) seconds50- `fps` (number, required)51- `size` (string, required) e.g. `1280*720`52- `seed` (int, optional)53- `reference_image` (string | bytes, required for i2v family models)54- `motion_strength` (number, optional)5556### Response57- `video_url` (string)58- `duration` (number)59- `fps` (number)60- `seed` (int)6162## Quick start (Python + DashScope SDK)6364Video generation is usually asynchronous. Expect a task ID and poll until completion.65Note: Wan i2v models require an input image; map `reference_image` to `img_url`.6667```python68import os69from dashscope import VideoSynthesis7071# Prefer env var for auth: export DASHSCOPE_API_KEY=...72# Or use ~/.alibabacloud/credentials with dashscope_api_key under [default].7374def generate_video(req: dict) -> dict:75 payload = {76 "model": req.get("model", "wan2.6-i2v-flash"),77 "prompt": req["prompt"],78 "negative_prompt": req.get("negative_prompt"),79 "duration": req.get("duration", 4),80 "fps": req.get("fps", 24),81 "size": req.get("size", "1280*720"),82 "seed": req.get("seed"),83 "motion_strength": req.get("motion_strength"),84 "api_key": os.getenv("DASHSCOPE_API_KEY"),85 }8687 if req.get("reference_image"):88 # DashScope expects img_url for i2v models; local files are auto-uploaded.89 payload["img_url"] = req["reference_image"]9091 response = VideoSynthesis.call(**payload)9293 # Some SDK versions require polling for the final result.94 # If a task_id is returned, poll until status is SUCCEEDED.95 result = response.output.get("results", [None])[0]9697 return {98 "video_url": None if not result else result.get("url"),99 "duration": response.output.get("duration"),100 "fps": response.output.get("fps"),101 "seed": response.output.get("seed"),102 }103```104105## Async handling (polling)106107```python108import os109from dashscope import VideoSynthesis110111task = VideoSynthesis.async_call(112 model=req.get("model", "wan2.6-i2v-flash"),113 prompt=req["prompt"],114 img_url=req["reference_image"],115 duration=req.get("duration", 4),116 fps=req.get("fps", 24),117 size=req.get("size", "1280*720"),118 api_key=os.getenv("DASHSCOPE_API_KEY"),119)120121final = VideoSynthesis.wait(task)122video_url = final.output.get("video_url")123```124125## Operational guidance126127- Video generation can take minutes; expose progress and allow cancel/retry.128- Cache by `(prompt, negative_prompt, duration, fps, size, seed, reference_image hash, motion_strength)`.129- Store video assets in object storage and persist only URLs in metadata.130- `reference_image` can be a URL or local path; the SDK auto-uploads local files.131- If you get `Field required: input.img_url`, the reference image is missing or not mapped.132133## Size notes134135- Use `WxH` format (e.g. `1280*720`).136- Prefer common sizes; unsupported sizes can return 400.137138## Output location139140- Default output: `output/alicloud-ai-video-wan-video/videos/`141- Override base dir with `OUTPUT_DIR`.142143## Anti-patterns144145- Do not invent model names or aliases; use official Wan i2v model IDs only.146- Do not block the UI without progress updates.147- Do not retry blindly on 4xx; handle validation failures explicitly.148149## Workflow1501511) Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.1522) Run one minimal read-only query first to verify connectivity and permissions.1533) Execute the target operation with explicit parameters and bounded scope.1544) Verify results and save output/evidence files.155156## References157158- See `references/api_reference.md` for DashScope SDK mapping and async handling notes.159160- Source list: `references/sources.md`