Kwaivgi Kling V2.6 Std Image To Video
Playground
Try it on WavespeedAI!Kling 2.6 Standard offers cost-effective image-to-video generation with smooth motion, cinematic visuals, and accurate prompt adherence. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Kling V2.6 Standard Image-to-Video
Kling V2.6 Standard Image-to-Video is Kuaishou’s image-to-video generation model that brings static images to life. Upload a reference image and describe the motion — the model generates smooth, natural video with detailed animation and cinematic quality.
Why Choose This?
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Image-driven generation Transform any image into dynamic video with natural motion.
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Negative prompt support Exclude unwanted elements for more precise control over the output.
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Flexible duration Generate 5-second or 10-second videos.
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Detail preservation Maintains fine details from the source image during animation.
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Prompt Enhancer Built-in tool to automatically improve your motion descriptions.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | No | Text description of the desired motion and action |
| negative_prompt | No | Elements to exclude from generation |
| image | Yes | Reference image to animate (URL or upload) |
| duration | No | Video length: 5 or 10 seconds (default: 5) |
How to Use
- Upload your image — provide the reference image to animate.
- Write your prompt (optional) — describe the motion, camera movement, and action.
- Add negative prompt (optional) — specify what you want to avoid.
- Set duration — 5 seconds or 10 seconds.
- Run — submit and download your video.
Pricing
| Duration | Cost |
|---|---|
| 5s | $0.21 |
| 10s | $0.42 |
Best Use Cases
- Photo Animation — Bring portraits, landscapes, and product images to life.
- Social Media Content — Create engaging video from static images.
- Marketing & Ads — Generate dynamic promotional videos from product photos.
- Storytelling — Animate illustrations and artwork for narratives.
- Creative Projects — Explore motion concepts from reference images.
Pro Tips
- Use the Prompt Enhancer to refine your motion descriptions.
- Be specific about movement direction, speed, and camera angles in the prompt.
- Use negative prompts to avoid common artifacts (e.g., “blurry, distorted, low quality”).
- Use high-quality source images for better video results.
- 5s videos are more cost-effective for testing; use 10s for final production.
Notes
- Image is the only required field; prompt is optional but recommended.
- Duration options are 5 or 10 seconds only.
- Ensure uploaded image URLs are publicly accessible.
Related Models
- Kling V2.6 Standard Text-to-Video — Generate video from text descriptions.
- Kling V2.6 Pro Image-to-Video — Higher quality image-to-video generation.
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/kwaivgi/kling-v2.6-std/image-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"duration": 5
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | No | - | The positive prompt for the generation. | |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| image | string | Yes | - | Supported image formats: .jpg/.jpeg/.png. The size should not exceed 10MB, width and height should be no less than 300px. | |
| 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 |