Wan 2.7 Image to Video Pro is a fast AI image-to-video generation model that converts images into premium-quality videos with superior motion dynamics, enhanced visual fidelity, and professional cinematic output. Ready-to-use REST inference API for product videos, advertising creatives, cinematic clips, social media content, character animation, visual storytelling, and professional image-to-video workflows with simple integration, no coldstarts, and affordable pricing.
待機中
$0.61回あたり·~16 / $10
A warm cinematic human story with clear shot transitions. Shot 1: wide rooftop garden at sunrise, the elderly man tending plants. Transition 1 to 2: smooth side tracking shot through flowers. Shot 2: medium shot as he waters a tiny plant inside an old teacup. Transition 2 to 3: cut to close-up of water droplets on the sprout. Shot 3: his hand gently touches the cup. Realistic motion, natural acting, stable character, no text.
Wan 2.7 Image-to-Video Pro is the premium image-to-video model, transforming still images into cinematic video with superior motion quality and detail. Upload a reference image, describe the scene and motion — the model generates smooth, high-resolution video with optional audio input and flexible duration options.
Pro-tier quality Superior visual fidelity and motion realism from the latest Wan 2.7 architecture.
Multiple resolutions Output in 1080p, 2K, or 4K to match your production needs.
Audio support Optional audio input for synchronized video generation.
Shot type control Choose between single or multi-shot compositions.
Prompt Enhancer Built-in prompt optimizer for improved generation results.
Negative prompt support Specify elements to exclude for more precise control.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired scene and motion |
| image | Yes | Reference image to animate (URL or upload) |
| audio | No | Audio file for synchronized video (URL or upload) |
| negative_prompt | No | Elements to exclude from the video |
| resolution | No | Output resolution: 1080p (default), 2k, 4k |
| duration | No | Video length in seconds (default: 5) |
| shot_type | No | Shot composition: single (default) or multi |
| enable_prompt_expansion | No | Enable prompt optimizer (default: disabled) |
| seed | No | Random seed for reproducibility (-1 for random) |
| Duration | 1080p | 2k | 4k |
|---|---|---|---|
| 5 s | $0.60 | $0.70 | $0.80 |
| 10 s | $1.20 | $1.40 | $1.60 |
| 15 s | $1.80 | $2.10 | $2.40 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/image-to-video-pro with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read URLs from data.outputs. Examples for Wan 2.7 Image To Video Pro below.
# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/image-to-video-pro" \
-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",
"resolution": "1080p",
"duration": 5,
"shot_type": "single",
"enable_prompt_expansion": false,
"seed": -1
}'
# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
--retry 4 --retry-all-errors --retry-delay 1 \
-X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.// npm install wavespeed
const { Client } = require('wavespeed');
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);
try {
const result = await client.run("alibaba/wan-2.7/image-to-video-pro", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"resolution": "1080p",
"duration": 5,
"shot_type": "single",
"enable_prompt_expansion": false,
"seed": -1
}, {
timeout: 3600,
pollInterval: 2.0,
});
console.log(result.outputs);
} catch (error) {
console.error('Generation failed:', error);
process.exitCode = 1;
}# pip install wavespeed
import os
from wavespeed import Client
client = Client(api_key=os.environ["WAVESPEED_API_KEY"])
try:
output = client.run(
"alibaba/wan-2.7/image-to-video-pro",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"resolution": "1080p",
"duration": 5,
"shot_type": "single",
"enable_prompt_expansion": false,
"seed": -1
},
timeout=3600.0,
poll_interval=2.0,
)
print(output["outputs"])
except Exception as error:
raise SystemExit(f"Generation failed: {error}") from errorWan 2.7 Image To Video Pro is a Alibaba model for video generation from images, exposed as a REST API on WaveSpeedAI. Wan 2.7 Image to Video Pro is a fast AI image-to-video generation model that converts images into premium-quality videos with superior motion dynamics, enhanced visual fidelity, and professional cinematic output. Ready-to-use REST inference API for product videos, advertising creatives, cinematic clips, social media content, character animation, visual storytelling, and professional image-to-video workflows with simple integration, no coldstarts, and 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/alibaba/alibaba-wan-2.7-image-to-video-pro.
Wan 2.7 Image To Video Pro starts at $0.60 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-pro.
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.