WAN 2.1 i2v-plus 720P turns still images into smooth image-to-video clips, enabling unlimited AI videos from image inputs. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Ожидание
$0.7за запуск·~14 / $10
WAN 2.1 is an advanced image-to-video generation model that transforms static images into smooth, cinematic 5-second motion clips. This 720p version provides the ideal balance between visual quality and generation speed — perfect for professional content creation and rapid storytelling.
Cinematic Motion Generation Adds natural depth, parallax, and camera motion effects to bring still images to life.
High Temporal Consistency Maintains stable structure and lighting across all frames for smooth playback.
Balanced 720p Output Delivers clear HD video optimized for both web and mobile distribution.
Lightweight and Efficient Produces professional-quality motion in seconds, minimizing compute cost and latency.
Creative Flexibility Works across diverse visual styles — from portraits and landscapes to products and illustrations.
| Duration | Resolution | Cost (USD) |
|---|---|---|
| 5 seconds | 720p | $0.70 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/wan-2.1/i2v-plus-720p with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Wan 2.1 I2v Plus 720p below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/alibaba/wan-2.1/i2v-plus-720p" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"duration": 5,
"enable_prompt_expansion": false,
"negative_prompt": "blurry, low quality, distorted",
"seed": -1
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("alibaba/wan-2.1/i2v-plus-720p", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"duration": 5,
"enable_prompt_expansion": false,
"negative_prompt": "blurry, low quality, distorted",
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"alibaba/wan-2.1/i2v-plus-720p",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"duration": 5,
"enable_prompt_expansion": false,
"negative_prompt": "blurry, low quality, distorted",
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputWan 2.1 I2v Plus 720p is a Alibaba model for video generation from images, exposed as a REST API on WaveSpeedAI. WAN 2.1 i2v-plus 720P turns still images into smooth image-to-video clips, enabling unlimited AI videos from image inputs. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/alibaba/alibaba-wan-2.1-i2v-plus-720p.
Wan 2.1 I2v Plus 720p starts at $0.70 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `image`, `duration`, `seed`, `negative_prompt`, `enable_prompt_expansion`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/alibaba/alibaba-wan-2.1-i2v-plus-720p.
Average end-to-end generation time on WaveSpeedAI is around 345 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Alibaba). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.