Kling Omni Video O1 (Standard) Reference-to-Video generates creative videos using character, prop, or scene references from multiple viewpoints. Extracts subject features and creates new video content while maintaining identity consistency across frames. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Inactivo
$0.42por ejecución·~23 / $10
EjemplosVer todo
Shot 1: Wide-angle shot — a colossal, abandoned interstellar cargo ship drifts silently within Saturn’s rings, its hull coated in cosmic dust.Shot 2: The camera passes through a shattered porthole into the pitch-black bridge, where emergency lights flicker erratically on and off.Shot 3: On a control panel, a solitary red button blinks steadily in a rhythmic pattern.Shot 4: A screen adjacent to the button displays text intermittently: “Warning: Unknown life signal detected...”Shot 5: The camera pulls back slowly; the entire lifeless cargo ship, dwarfed under Saturn’s massive shadow, looks tiny and ominous.
Shot 1: Wide-angle shot depicting a magical forest shrouded in moonlight. Giant mushrooms emit a fluorescent glow, glowing spores drift in the air, and an elf girl walks along a path with a lantern in hand.Shot 2: Medium shot — the elf girl comes to a halt, gazing curiously at a crystal-clear, unopened flower ahead of her.Shot 3: Close-up time-lapse shot — under the girl’s watchful eyes, the crystal flower slowly blooms. A bright orb of light emerges from the depths of its center and rises upward, illuminating her surprised yet delighted face.
Shot 1: Wide-angle shot depicting a magical forest shrouded in moonlight. Giant mushrooms emit a fluorescent glow, glowing spores drift in the air, and an elf girl walks along a path with a lantern in hand.Shot 2: Medium shot — the elf girl comes to a halt, gazing curiously at a crystal-clear, unopened flower ahead of her.Shot 3: Close-up time-lapse shot — under the girl’s watchful eyes, the crystal flower slowly blooms. A bright orb of light emerges from the depths of its center and rises upward, illuminating her surprised yet delighted face.
A 3D animated character in Pixar style, cute and expressive face, soft studio lighting, talking to the camera. The background is a magical dreamland with floating islands.
A cute robotic vacuum cleaner is moving slowly while cleaning the floor. With every step it takes, a small flower blooms on the ground beneath it, leaving a trail of flowers along its path. The atmosphere is warm and soothing.
Change the character’s pajamas to a white embroidered version
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README
Kling Omni Video O1 (Standard) — Reference-to-Video
Kling Omni Video O1 is Kuaishou's groundbreaking unified multi-modal video model. The Reference-to-Video mode creates new video content based on subject references — maintaining character, prop, and scene identity while generating entirely new creative scenarios.
Key Capabilities
Multi-Reference Subject Creation
Build subjects from multiple reference viewpoints:
- Extract features from character, prop, or scene images
- Maintain consistent identity in generated videos
- Create new scenarios with familiar subjects
Subject Consistency Technology
Advanced feature extraction ensures:
- Stable character appearance across all frames
- Consistent clothing, accessories, and props
- Maintained facial features and expressions
- Coherent scene elements and backgrounds
Creative Freedom
Generate entirely new content while preserving identity:
- New poses and actions
- Different scenes and environments
- Various camera angles and movements
- Fresh creative scenarios
Core Features
- Identity Lock — Subject features remain consistent throughout video
- Multi-Angle Support — Use references from various viewpoints
- Scene Flexibility — Place subjects in new environments
- Motion Control — Guide actions with text prompts
Price
| Duration (s) | video = "" | video ≠ "" |
|---|---|---|
| 5 | 0.42 | 0.63 |
| 10 | 0.84 | 1.26 |
How to Use
-
Upload Reference Images Provide one or more images of your subject (character, object, or scene).
-
Describe the Scenario Write a prompt for the new video content.
Example: "The character walking through a futuristic city at night, neon lights reflecting on wet streets"
-
Set Parameters Choose duration, resolution, and output format.
-
Generate Receive video with your subject in the new scenario.
Pro Tips
- Use multiple reference angles for better identity capture
- Provide clear, high-resolution reference images
- Describe actions and environments clearly in prompts
- Works best for characters, products, and distinct objects
Note
- If the input reference parameters include a video, then the number of reference images that can be entered will be reduced to 4.
Kling O1 series models
-
kwaivgi/kling-video-o1-std — Video Edit — Edit videos with natural-language instructions for precise, context-aware changes like object removal, scene adjustments, and style refinement while preserving motion consistency.
-
kwaivgi/kling-video-o1-std — Image to Video — Animate a single image into a high-quality video clip with smooth motion and coherent scene continuity, perfect for marketing creatives and social content.
-
kwaivgi/kling-video-o1-std — Text to Video — Create videos directly from text prompts with strong prompt adherence and cinematic motion, great for rapid prototyping, ads, and creative concept exploration.
Kling Video O1 Std Reference To Video API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o1-std/reference-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 Video O1 Std Reference To Video below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o1-std/reference-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",
"video": "https://example.com/your-input.mp4",
"keep_original_sound": true,
"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-video-o1-std/reference-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"video": "https://example.com/your-input.mp4",
"keep_original_sound": true,
"duration": 5
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"kwaivgi/kling-video-o1-std/reference-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"video": "https://example.com/your-input.mp4",
"keep_original_sound": true,
"duration": 5
}
)
print(output["outputs"][0]) # → URL of the generated outputKling Video O1 Std Reference To Video API — Frequently asked questions
What is the Kling Video O1 Std Reference To Video API?
Kling Video O1 Std Reference To Video is a Kuaishou model for video generation from images, exposed as a REST API on WaveSpeedAI. Kling Omni Video O1 (Standard) Reference-to-Video generates creative videos using character, prop, or scene references from multiple viewpoints. Extracts subject features and creates new video content while maintaining identity consistency across frames. Ready-to-use REST 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 Video O1 Std Reference 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-video-o1-std-reference-to-video.
How much does Kling Video O1 Std Reference To Video cost per run?
Kling Video O1 Std Reference To Video starts at $0.42 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 Video O1 Std Reference To Video accept?
Key inputs: `prompt`, `images`, `video`, `duration`, `keep_original_sound`. 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-video-o1-std-reference-to-video.
How long does Kling Video O1 Std Reference To Video take to generate?
Average end-to-end generation time on WaveSpeedAI is around 525 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 Video O1 Std Reference 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.