Category: provider
Model Studio Wan Video
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 name
Use ONLY this exact model string:
- •
wan2.6-i2v-flash
Do not add date suffixes or aliases.
Prerequisites
- •Install SDK (recommended in a venv to avoid PEP 668 limits):
bash
python3 -m venv .venv . .venv/bin/activate python -m pip install dashscope
- •Set
DASHSCOPE_API_KEYin your environment, or adddashscope_api_keyto~/.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 forwan2.6-i2v-flash) - •
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: wan2.6-i2v-flash requires an input image; map reference_image to img_url.
python
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": "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)
python
import os
from dashscope import VideoSynthesis
task = VideoSynthesis.async_call(
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_imagecan 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
WxHformat (e.g.1280*720). - •Prefer common sizes; unsupported sizes can return 400.
Output location
- •Default output:
output/ai-video-wan-video/videos/ - •Override base dir with
OUTPUT_DIR.
Anti-patterns
- •Do not invent model names or aliases; use
wan2.6-i2v-flashonly. - •Do not block the UI without progress updates.
- •Do not retry blindly on 4xx; handle validation failures explicitly.
References
- •
See
references/api_reference.mdfor DashScope SDK mapping and async handling notes. - •
Source list:
references/sources.md