OpenAI Sora 2 Pro Image-to-Video creates physics-aware, realistic videos from reference images with synchronized audio and strong steerability. Supports 720p and 1080p resolutions with durations up to 20 seconds. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$1.2per run
Two red battle mechs stand facing each other on a destroyed city street, debris floating in the air. The left mech's chest glows blue, powering up. Suddenly the right mech lunges forward with a heavy punch, shockwave rippling outward, dust and concrete chunks exploding in slow motion. Low angle shot, cinematic action, dramatic lighting.
The white F1 car hugs the track surface through a sweeping turn, blue front wing slicing the air. Camera locked low to the tarmac — car fills the frame, gravel trap and barriers rushing past. Tire rubber smoking slightly under load. Deep engine roar implied. Slow-motion wheel rotation, high contrast daylight, broadcast-style cinematography.
Notice — Service Stability
The Sora 2 family is currently unstable. Generations may fall back to alternative models without notice and the service can be temporarily unavailable. OpenAI is also expected to discontinue this model in the future.
If you need an equally capable, stable alternative, we recommend Seedance 2: bytedance/seedance-2.0/image-to-video.
Sora 2 Pro Image-to-Video is OpenAI's premium image animation model. Upload an image and describe the motion — AI transforms your still photo into a cinematic video with physics-aware movement, synchronized audio, and professional-grade quality.
Premium quality Higher fidelity output with enhanced detail preservation and motion coherence.
Physics-aware motion Learns contact, inertia, and momentum so objects move and collide believably.
Synchronized audio Generates matching audio — ambient sounds, dialogue, and sound effects.
Temporal consistency Stable identities, minimal flicker/ghosting, and clean frame-to-frame transitions.
Resolution options Output in 720p or 1080p for high-definition results.
Extended duration Generate videos up to 20 seconds long.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Source image to animate |
| prompt | Yes | Describe the motion, action, and audio cues |
| duration | No | Video length: 4, 8, 12, 16, or 20 seconds |
| resolution | No | Output resolution: 720p or 1080p |
| Duration | 720p | 1080p |
|---|---|---|
| 4 s | $1.20 | $2.00 |
| 8 s | $2.40 | $4.00 |
| 12 s | $3.60 | $6.00 |
| 16 s | $4.80 | $8.00 |
| 20 s | $6.00 | $10.00 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/openai/sora-2-pro/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 Sora 2 Pro Image To Video below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/openai/sora-2-pro/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",
"resolution": "720p",
"duration": 4
}'
# 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("openai/sora-2-pro/image-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"resolution": "720p",
"duration": 4
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"openai/sora-2-pro/image-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"resolution": "720p",
"duration": 4
}
)
print(output["outputs"][0]) # → URL of the generated outputSora 2 Pro Image To Video is a OpenAI model for video generation from images, exposed as a REST API on WaveSpeedAI. OpenAI Sora 2 Pro Image-to-Video creates physics-aware, realistic videos from reference images with synchronized audio and strong steerability. Supports 720p and 1080p resolutions with durations up to 20 seconds. 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/openai/openai-sora-2-pro-image-to-video.
Sora 2 Pro Image To Video starts at $1.20 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`, `resolution`, `duration`. 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/openai/openai-sora-2-pro-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 (OpenAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.