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.
Idle
$0.21per run·~47 / $10
ExamplesView all
Close-up shot, the craftsman is fully focused on assembling a complex brass machine. His right hand holding the tool carefully turns a component, and the small gears inside the machine rotate slowly in response. Faint steam or smoke drifts in the background. The metal surfaces reflect warm lighting. 4k quality, macro details.
The athlete looks down at the basketball in his hands, slowly rotating the ball to feel the texture, then raises his head to look confidently at the camera again. Light reflects off his skin and the surface of the ball. Slow motion, sports documentary style.
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README
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?
-
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.
Kling v2.6 Std Image To Video API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-v2.6-std/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 Kling v2.6 Std Image To Video below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v2.6-std/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",
"negative_prompt": "blurry, low quality, distorted",
"duration": 5
}'
# 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].Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("kwaivgi/kling-v2.6-std/image-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"negative_prompt": "blurry, low quality, distorted",
"duration": 5
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"kwaivgi/kling-v2.6-std/image-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"negative_prompt": "blurry, low quality, distorted",
"duration": 5
}
)
print(output["outputs"][0]) # → URL of the generated outputKling v2.6 Std Image To Video API — Frequently asked questions
What is the Kling v2.6 Std Image To Video API?
Kling v2.6 Std Image To Video is a Kuaishou model for video generation from images, exposed as a REST API 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. You can call it programmatically or try it from the playground above.
How do I call the Kling v2.6 Std Image To Video API?
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/kwaivgi/kwaivgi-kling-v2.6-std-image-to-video.
How much does Kling v2.6 Std Image To Video cost per run?
Kling v2.6 Std Image To Video starts at $0.21 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.
What inputs does Kling v2.6 Std Image To Video accept?
Key inputs: `prompt`, `image`, `duration`, `negative_prompt`. 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/kwaivgi/kwaivgi-kling-v2.6-std-image-to-video.
How long does Kling v2.6 Std Image To Video take to generate?
Average end-to-end generation time on WaveSpeedAI is around 62 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Can I use Kling v2.6 Std Image To Video outputs commercially?
Commercial usage rights depend on the model's license, set by its provider (Kuaishou). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.