WAN 2.7 converts images into videos (720p/1080p) with optional audio, supporting first and last frame control. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Idle
$0.5per run·~20 / $10
A father and young daughter flying a green diamond kite together in a sunlit park. The man stands behind the girl, both arms raised holding the kite string, both gazing upward with joy. Lush green grass, dappled sunlight filtering through tree canopy in background. Camera slowly circles them from left to right at medium distance, slight crane up movement. Kite string sways gently in the breeze, kite dips and rises naturally. Warm golden afternoon light, soft lens flare, shallow depth of field with bokeh trees. Cinematic handheld feel
Wan 2.7 Image-to-Video animates a reference image into a high-quality cinematic video clip. Upload a start frame, optionally provide an end frame for guided transitions, and describe the motion — the model generates smooth, natural video with optional audio synchronization and precise prompt control.
Image-grounded generation Start from a reference photo for precise visual control over subject appearance, environment, and composition.
Start and end frame guidance Provide both a starting image and an end frame to define exactly where the clip begins and finishes.
Audio input support Upload an audio track to guide the rhythm, mood, and pacing of the generated video.
Negative prompt support Specify what you don't want in the video for more precise control over the output.
Prompt expansion Enable enable_prompt_expansion to let the model automatically enrich and optimize your prompt before generation.
Resolution options Generate at 720p or 1080p to match your delivery requirements.
Reproducible results Use the seed parameter to lock in a specific output for exact reproduction.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Start frame image to animate (URL or file upload). |
| prompt | Yes | Text description of the motion, camera style, and scene atmosphere. |
| last_image | No | End frame image to define where the clip finishes. |
| audio | No | Optional audio track to synchronize with the generated video. |
| negative_prompt | No | Elements to exclude from the generated video. |
| resolution | No | Output resolution: 720p (default) or 1080p. |
| duration | No | Clip length in seconds. Default: 5. |
| enable_prompt_expansion | No | Enable automatic prompt optimization before generation. Default: off. |
| seed | No | Random seed for reproducible results. Use -1 for a random seed. |
| Duration | 720p | 1080p |
|---|---|---|
| 5s | $0.50 | $0.75 |
| 10s | $1.00 | $1.50 |
| 15s | $1.50 | $2.25 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/image-to-video 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 2.7 Image To Video below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/image-to-video" \
-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",
"audio": "https://example.com/your-audio.mp3",
"negative_prompt": "blurry, low quality, distorted",
"resolution": "720p",
"duration": 5,
"enable_prompt_expansion": false,
"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-2.7/image-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"audio": "https://example.com/your-audio.mp3",
"negative_prompt": "blurry, low quality, distorted",
"resolution": "720p",
"duration": 5,
"enable_prompt_expansion": false,
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"alibaba/wan-2.7/image-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"audio": "https://example.com/your-audio.mp3",
"negative_prompt": "blurry, low quality, distorted",
"resolution": "720p",
"duration": 5,
"enable_prompt_expansion": false,
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputWan 2.7 Image To Video is a Alibaba model for video generation from images, exposed as a REST API on WaveSpeedAI. WAN 2.7 converts images into videos (720p/1080p) with optional audio, supporting first and last frame control. Ready-to-use REST inference API, best performance, no cold starts, 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-2.7-image-to-video.
Wan 2.7 Image To Video starts at $0.50 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`, `audio`, `resolution`, `duration`, `seed`. 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-2.7-image-to-video.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
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.