Pika V2.0 Turbo I2V
Playground
Try it on WavespeedAI!Pika V2.0 Turbo Image-to-Video creates high-quality videos from images with multiple sizes and prompt optimization. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Pika V2.0 Turbo Image-to-Video
Transform images into dynamic videos with Pika V2.0 Turbo — the fast, efficient image-to-video model from Pika Labs. Generate smooth, high-quality 720p videos with natural motion and cinematic quality, perfect for bringing static images to life.
Why It Looks Great
- Turbo speed: Optimized for fast generation without sacrificing quality.
- 720p HD output: Sharp, professional-quality video in landscape or portrait.
- Natural motion: Creates smooth, believable movement from static images.
- Extended duration: Generate up to 10 seconds of video.
- Prompt Enhancer: Built-in tool to refine your motion descriptions.
- Safety Checker: Optional content filtering for appropriate output.
Parameters
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Source image to animate (upload or public URL). |
| prompt | Yes | Text description of the motion and action you want. |
| size | No | Output dimensions: 1280×720 (landscape) or 720×1280 (portrait). Default: 1280×720. |
| duration | No | Video length: 5 or 10 seconds. Default: 5. |
| Enable Safety Checker | No | Toggle content safety filtering. |
How to Use
- Upload your image — drag and drop or paste a public URL.
- Write your prompt — describe the motion, action, and atmosphere.
- Use Prompt Enhancer (optional) — click to enrich your description.
- Choose size — select landscape (1280×720) or portrait (720×1280).
- Set duration — choose 5 or 10 seconds.
- Run — click the button to generate.
- Download — preview and save your video.
Pricing
Per 5-second billing based on duration.
| Duration | Calculation | Cost |
|---|---|---|
| 5 seconds | 5 ÷ 5 × $0.20 | $0.20 |
| 10 seconds | 10 ÷ 5 × $0.20 | $0.40 |
Size Options
| Size | Orientation | Best For |
|---|---|---|
| 1280×720 | Landscape | YouTube, presentations, desktop viewing |
| 720×1280 | Portrait | TikTok, Instagram Reels, Stories, mobile |
Best Use Cases
- Storytelling — Bring narrative moments and emotional scenes to life.
- Social Media Content — Create engaging videos from photos for any platform.
- Lifestyle Animation — Animate everyday moments with warmth and authenticity.
- Marketing & Ads — Transform product images into dynamic video content.
- Creative Projects — Add motion to artwork and photography.
Example Prompts
- “Woman feeding stray cats in an alley, sunset sky above, cats meowing, urban kindness”
- “Gentle breeze moving through hair, soft smile appearing, warm golden light”
- “Clouds drifting across the sky, timelapse effect, peaceful atmosphere”
- “Product rotating slowly, studio lighting reflections, professional showcase”
- “Leaves falling gently around the subject, autumn atmosphere, subtle movement”
Pro Tips for Best Results
- Describe both subject motion and ambient movement for richer videos.
- Include emotional tone: “kindness”, “peaceful”, “warm”, “dramatic”.
- Use Pika for storytelling moments — it excels at emotionally resonant scenes.
- Match orientation to platform: portrait for TikTok/Reels, landscape for YouTube.
- Start with 5-second videos to test concepts before generating 10-second versions.
- Turbo mode delivers fast results — great for rapid iteration.
Notes
- Duration options are 5 or 10 seconds.
- If using a URL, ensure it is publicly accessible.
- Enable Safety Checker for content that will be publicly shared.
- Turbo mode prioritizes speed while maintaining Pika’s quality standards.
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/pika/v2.0-turbo-i2v" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"size": "1280*720",
"duration": 5
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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. | |
| size | string | No | 1280*720 | 1280*720, 720*1280 | The size of the generated media in pixels (width*height). |
| duration | integer | No | 5 | 5, 10 | The duration of the generated media 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 |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | 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.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 |