Kling 2.1 Pro converts images to professional cinematic videos with enhanced fidelity, precise camera moves and dynamic motion control. Ready-to-use REST inference API, top performance, no coldstarts, affordable pricing.
Idle
$0.45per run·~22 / $10
ExamplesView all
A beautiful young woman with long wavy hair, laughing loudly, her hair swaying in the wind, dressed in a stylish blue trench coat, standing in a sunny city street, cinematic close-up shot, 8K, high detail, photorealistic, ultra realistic, volumetric lighting.
A majestic waterfall cascades down moss-covered rocks into a pristine mountain lake. The water sparkles under the morning sunlight, and a gentle mist rises from the surface. Leaves on nearby trees rustle in the breeze.
A highly detailed shot of a futuristic racing car speeding on a neon-lit track. The car's tires leave a blue light trail. The background is blurred, motion blur effect, cyberpunk aesthetic, high speed, dynamic angle, 8K, cinematic.
A majestic magic dragon, a close-up shot, breathing fire over an ancient castle on a mountain cliff, surrounded by epic mountains and clouds. Dramatic lighting, fantasy art, cinematic, hyper-realistic, volumetric light, 4K, wide shot.
A cute fawn running through a sun-drenched forest with blooming wildflowers. The sun shines through the trees, casting beautiful light rays. Soft focus, macro photography, fairytale vibe, dreamy atmosphere, vibrant colors, UHD, slow motion.
A busy street in Tokyo at night after rain. People are walking by, blurred reflections of neon signs and city lights on the wet pavement. Tilt-shift effect, cinematic, detailed, street photography, moody lighting, 4K, time-lapse feel.
A striking view of a young female fashion model with flowing blonde hair, wearing a vibrant emerald green dress, dramatically twirling on a rooftop overlooking a bustling cityscape at sunset. The camera is a sweeping orbital shot circling her, capturing the movement of her dress and hair against the urban backdrop. Golden hour light casting long shadows, wind gently blowing her hair, creating a sense of freedom and energy, high fashion editorial, cinematic, 8k, ultra-detailed.
A lone knight on a horse, galloping furiously across a vast, windswept grassland. The clouds above are moving swiftly, and the sun is setting in the background. Wide, epic shot, cinematic, dramatic lighting, 8K, photorealistic.
A futuristic soldier, equipped with advanced gear, running through a neon-lit, cyberpunk city at night. The camera is in a handheld shot, giving it a shaky, first-person perspective. Fast-paced action, blurred lights, high-energy, cinematic.
A young woman standing alone on a bridge at night, her hair gently swaying in the breeze, her gaze distant as she looks at the city lights in the distance. A car drives past the frame, leaving a blur of light and shadow. The camera circles around from behind her to the side, then briefly freezes, capturing her contemplative expression. Melancholic, serene, emotional, cinematic, high contrast.
Related Models
README
Kling v2.1 I2V Pro — kwaivgi/kling-v2.1-i2v-pro
Kling v2.1 I2V Pro turns a single reference image into a short, cinematic video clip guided by your prompt. Upload an image, describe the motion (subject + camera + environment), and the model animates the scene while keeping the input image as the visual anchor. Built for stable production use with a ready-to-use REST API, no cold starts, and predictable pricing.
Key capabilities
- Image-to-video generation anchored to your input image
- Prompt-controlled motion: facial micro-expressions, hair/clothing movement, environment effects
- Cinematic camera moves: push-in, orbit, pan, tilt, handheld feel
- Supports negative_prompt to reduce artifacts and unwanted styles
Pricing
| Duration | Price |
|---|---|
| 5s | $0.45 |
| 10s | $0.90 |
| 15s | $1.35 |
| 20s | $1.80 |
Inputs
- image (required): the reference image used as the visual anchor
- prompt (required): describe what moves and how the camera behaves
- negative_prompt (optional): describe what to avoid (blur, distortions, artifacts)
Parameters
- prompt: motion + scene direction for the clip
- negative_prompt: optional “avoid list”
- image: input image (upload or URL)
- guidance_scale: how strongly motion follows your prompt (lower = more natural, higher = more literal)
- duration: video length in seconds
Prompting guide (I2V)
Write prompts like a director’s brief, focusing on motion:
- Subject motion: expression change, breathing, walking, turning, hair swaying
- Environment motion: wind, rain, fog, particles, light rays
- Camera motion: slow push-in, orbit, dolly, handheld micro-shake
- Continuity: keep identity, outfit, and scene layout consistent with the input image
Example prompts
- A cinematic close-up of a woman laughing on a sunny city street. Her hair sways in the wind, coat fabric subtly moves, warm natural light, shallow depth of field, camera slow push-in, smooth motion, 5 seconds.
- Portrait in golden hour. Gentle breeze, subtle facial motion, soft lens flare, handheld micro-sway, realistic skin texture, 5 seconds.
- Moody night street scene. Light rain, drifting mist, neon reflections, camera slow orbit around the subject, 5 seconds.
Negative prompt examples
- blur, distort, low quality
- jitter, warping, melted details, extra limbs
- watermark, logo, subtitles, text artifacts
Kling v2.1 I2v Pro API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-v2.1-i2v-pro 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 v2.1 I2v Pro below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-v2.1-i2v-pro" \
-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",
"guidance_scale": 0.5,
"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-v2.1-i2v-pro", {
"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",
"guidance_scale": 0.5,
"duration": 5
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"kwaivgi/kling-v2.1-i2v-pro",
{
"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",
"guidance_scale": 0.5,
"duration": 5
}
)
print(output["outputs"][0]) # → URL of the generated outputKling v2.1 I2v Pro API — Frequently asked questions
What is the Kling v2.1 I2v Pro API?
Kling v2.1 I2v Pro is a Kuaishou model for video generation from images, exposed as a REST API on WaveSpeedAI. Kling 2.1 Pro converts images to professional cinematic videos with enhanced fidelity, precise camera moves and dynamic motion control. Ready-to-use REST inference API, top performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
How do I call the Kling v2.1 I2v Pro 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-v2.1-i2v-pro.
How much does Kling v2.1 I2v Pro cost per run?
Kling v2.1 I2v Pro starts at $0.45 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 v2.1 I2v Pro accept?
Key inputs: `prompt`, `image`, `duration`, `guidance_scale`, `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-v2.1-i2v-pro.
How long does Kling v2.1 I2v Pro take to generate?
Average end-to-end generation time on WaveSpeedAI is around 86 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 v2.1 I2v Pro 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.