OpenAI Sora 2 generates realistic image-to-video content with synchronized audio, improved physics, sharper realism and steerability. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Bereit
$0.4pro Durchlauf·~25 / $10
Action: The kitten suddenly pounces toward the yarn, batting at it rapidly with its paws, tumbling flexibly, and finally hugging the yarn ball and starting to kick it with its back legs. Ambient Sound: The kitten emits a series of excited "meows" (playful and slightly challenging); the soft "pat-pat-pat" sound of paws hitting the floor and the yarn; the slight shh-shh friction sound as the yarn rolls; the clear, rhythmic tick-tock of a grandfather clock in the room. Character Dialogue: (No human language, only the full range of cat sounds: excited "Mrow! Mrow!", a satisfied purr rumble deep in its throat after catching the "prey," and a tiny hiss of exertion.)
The camera zooms in to the sweat of the characters, and the surrounding atmosphere is tense.
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 Image-to-Video brings your images to life with OpenAI's state-of-the-art video generation. Upload an image and describe the motion — watch as AI transforms your still photo into a dynamic, cinematic video with synchronized audio.
Image animation Transform any still image into smooth, realistic video with natural motion.
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.
Cinematic quality Natural camera movements, high-frequency detail, and professional-grade output.
Flexible duration Generate videos from 4 to 20 seconds.
| 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 |
| Duration | Cost |
|---|---|
| 4 s | $0.40 |
| 8 s | $0.80 |
| 12 s | $1.20 |
| 16 s | $1.60 |
| 20 s | $2.00 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/openai/sora-2/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 Image To Video below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/openai/sora-2/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",
"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/image-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"duration": 4
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"openai/sora-2/image-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"duration": 4
}
)
print(output["outputs"][0]) # → URL of the generated outputSora 2 Image To Video is a OpenAI model for video generation from images, exposed as a REST API on WaveSpeedAI. OpenAI Sora 2 generates realistic image-to-video content with synchronized audio, improved physics, sharper realism and steerability. 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-image-to-video.
Sora 2 Image To Video starts at $0.40 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`. 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-image-to-video.
Average end-to-end generation time on WaveSpeedAI is around 127 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 (OpenAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.