Kwaivgi Kling V2.6 Std Text To Video
Playground
Try it on WavespeedAI!Kling 2.6 Standard offers cost-effective text-to-video generation with smooth motion, cinematic visuals, and strong prompt adherence. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Kling V2.6 Standard Text-to-Video
Kling V2.6 Standard is Kuaishou’s text-to-video generation model that creates high-quality videos directly from text descriptions. With support for negative prompts, multiple aspect ratios, and flexible duration, it delivers cinematic results with rich detail and natural motion.
Why Choose This?
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Pure text-driven generation Create videos from scratch using detailed text descriptions.
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Negative prompt support Exclude unwanted elements for more precise control over the output.
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Multiple aspect ratios Support for 1:1, 9:16, and 16:9 to fit any platform.
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Flexible duration Generate 5-second or 10-second videos.
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Prompt Enhancer Built-in tool to automatically improve your video descriptions.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the video scene and motion |
| negative_prompt | No | Elements to exclude from generation |
| aspect_ratio | No | Output ratio: 1:1, 9:16, 16:9 (default: 16:9) |
| duration | No | Video length: 5 or 10 seconds (default: 5) |
How to Use
- Write your prompt — describe the scene, characters, motion, and style in detail.
- Add negative prompt (optional) — specify what you want to avoid in the output.
- Select aspect ratio — choose based on your target platform.
- 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
- Social Media Content — Create short-form videos for TikTok, Reels, and Stories.
- Concept Visualization — Bring creative ideas to life without filming.
- Film Noir & Artistic Styles — Generate stylized footage with specific aesthetics.
- Marketing Videos — Produce promotional content from text descriptions.
- Storyboarding — Visualize narrative scenes for pre-production.
Pro Tips
- Use the Prompt Enhancer to refine your descriptions automatically.
- Be specific about style, lighting, atmosphere, and camera movement.
- Use negative prompts to avoid common issues (e.g., “blurry, low quality, distorted”).
- Match aspect ratio to your platform: 16:9 for YouTube, 9:16 for TikTok/Reels, 1:1 for Instagram.
- 5s videos are more cost-effective for testing; use 10s for final production.
Notes
- Only prompt is required; other parameters have defaults.
- Duration options are 5 or 10 seconds only.
- For best results, write detailed prompts with scene, motion, and style information.
Related Models
- Kling V2.6 Pro Image-to-Video — Generate video from reference images with Pro quality.
- Kling V2.6 Standard Image-to-Video — Image-to-video with Standard quality.
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/text-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"aspect_ratio": "16:9",
"duration": 5
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| aspect_ratio | string | No | 16:9 | 1:1, 9:16, 16:9 | The aspect ratio of the generated media. |
| 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 |