Openai Sora 2 Image To Video
Playground
Try it 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.
Features
OpenAI Sora 2 — Image-to-Video
Turn a single reference image into a coherent video clip with synchronized audio. Built on Sora 2’s core advances, the image-to-video pipeline preserves identity, lighting, and composition while synthesizing believable motion and camera dynamics.
Why it looks great
- Identity lock-in: preserves faces, style, textures, and scene layout from the reference image.
- Parallax & depth hallucination: infers 3D structure for convincing foreground/background separation.
- Physics-aware motion: contact, inertia, and secondary motion (hair, cloth) behave naturally.
- Temporal consistency: minimal flicker/ghosting with stable subject features across frames.
- Smart background extension: clean inpainting beyond the original frame for wider moves.
- Cinematic camera moves: subtle pans, push-ins, arcs, and handheld vibes without warping.
- Synchronized audio: optional voice/ambience that matches on-screen action and pacing.
- Strong steerability: prompt edits and controls (duration, fps, motion strength) produce predictable changes.
How to Use
- Upload a single reference image (PNG/JPEG).
- Add a short prompt for mood, motion style, or camera behavior.
- Duration: choose 4s, 8s, or 12s.
- Submit the job; preview and download the result.
Pricing
| Duration | Total ($) |
|---|---|
| 4s | 0.40 |
| 8s | 0.80 |
| 12s | 1.20 |
Billing Rules: Linear pricing at $0.10/s. Available durations are 4s, 8s, and 12s.
Notes
- Best results come from high-resolution, clean source images with clear subjects and lighting.
- For big perspective shifts, start with shorter durations or lower motion strength, then iterate.
- Ensure you own the rights to your image; outputs inherit input content constraints.
- Please follow the user rules from OpenAI, you can find details in the reference: What images are permitted and prohibited in Sora-2
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/openai/sora-2/image-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"duration": 4
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The image for generating the output. | |
| prompt | string | Yes | - | The positive prompt for the generation. | |
| duration | integer | No | 4 | 4, 8, 12 | The duration of the generated video in seconds. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |