Kwaivgi Kling V3.0 Std Text To Video
Playground
Try it on WavespeedAI!Kling 3.0 Standard delivers high-quality text-to-video generation with smooth motion, cinematic visuals, accurate prompt adherence, and native audio for ready-to-share clips. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Kling V3.0 Std Image-to-Video
Kling V3.0 Standard Image-to-Video is Kuaishou’s cost-efficient image-to-video model, animating still images into dynamic video at accessible pricing. Upload a reference image and describe the motion — the model generates smooth, cinematic video with optional start-to-end frame guidance and synchronized sound. Supports flexible duration from 3 to 15 seconds.
Why Choose This?
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V3.0 quality at Standard pricing Strong visual quality and motion coherence at a fraction of Pro tier cost.
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Flexible duration Generate videos from 3 to 15 seconds — any length you need.
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Start-end frame guidance Optional end image for controlled transitions between two frames.
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Sound generation Optional synchronized sound effects generated alongside the video.
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Negative prompt support Specify what you don’t want in the video for more precise control.
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Multi-prompt support Add multiple prompts for complex scene compositions.
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Prompt Enhancer Built-in tool to automatically improve your motion descriptions.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired motion and action |
| image | Yes | Start frame image to animate (URL or upload) |
| negative_prompt | No | Elements to exclude from the video |
| end_image | No | End frame image for guided transitions |
| duration | No | Video length: 3–15 seconds (default: 5) |
| cfg_scale | No | Prompt guidance strength (default: 0.5) |
| sound | No | Generate synchronized audio (default: disabled) |
| multi_prompt | No | Additional prompts for complex compositions |
How to Use
- Upload your image — provide the reference image to animate.
- Write your prompt — describe the motion, camera movement, and action.
- Add negative prompt (optional) — specify elements you want to avoid.
- Upload end image (optional) — provide an end frame for guided transitions.
- Set duration — choose any length from 3 to 15 seconds.
- Adjust cfg_scale (optional) — control how closely the output follows your prompt.
- Enable sound (optional) — generate synchronized audio with the video.
- Run — submit and download your video.
Pricing
| Duration | Sound Off | Sound On |
|---|---|---|
| 3 s | $0.252 | $0.378 |
| 5 s | $0.42 | $0.63 |
| 10 s | $0.84 | $1.26 |
| 15 s | $1.26 | $1.89 |
Billing Rules
- Base rate: $0.42 per 5 seconds
- Sound multiplier: disabled = 1×, enabled = 1.5×
- Duration range: 3–15 seconds
Best Use Cases
- Product Animation — Bring product photos to life with dynamic motion.
- Social Media Content — Create engaging short-form videos from still images.
- Scene Transitions — Use start and end frames for smooth cinematic transitions.
- Character Animation — Animate portraits, illustrations, or concept art.
- Budget-Friendly Production — High-quality image-to-video at accessible pricing.
Pro Tips
- Use detailed, cinematic prompts for best results — include lighting, camera angles, and motion descriptions.
- Add an end_image for controlled transitions between two visual states.
- Use negative_prompt to avoid common issues like blurry faces or unwanted motion.
- Enable sound for environmental audio like rain, city ambience, or action effects.
- Use high-quality source images for the best video output.
Notes
- Both prompt and image are required fields.
- Duration supports any value from 3 to 15 seconds.
- Sound generation increases cost by 1.5×.
- Ensure uploaded image URLs are publicly accessible.
Related Models
- Kling V3.0 Pro Image-to-Video — Maximum quality with V3.0 Pro tier.
- Kling V3.0 Std Text-to-Video — Generate videos from text prompts at Standard pricing.
- Kling Video O3 Pro Image-to-Video — Latest O3 generation with premium 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-v3.0-std/text-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"duration": 5,
"aspect_ratio": "16:9",
"cfg_scale": 0.5
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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. | |
| duration | integer | No | 5 | 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 | The duration of the generated media in seconds. |
| aspect_ratio | string | No | 16:9 | 16:9, 9:16, 1:1 | The aspect ratio of the generated video. |
| cfg_scale | number | No | 0.5 | 0.00 ~ 1.00 | Flexibility in video generation; The higher the value, the lower the model's degree of flexibility, and the stronger the relevance to the user's prompt. |
| sound | boolean | No | - | - | Whether sound is generated simultaneously when generating a video. |
| multi_prompt | array | No | - | - | List of multi-prompt elements for the generation. |
| element_list | array | No | - | - | Element reference list. |
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. |
| 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 |