Vidu Start End to Video Q1 | Fast Image-to-Video API

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Vidu Q1 Start-End To Video turns specified start and end images into smooth image-to-video transitions for morphs and scene fades. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video

Input

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Idle

$0.4per run·~25 / $10

ExamplesView all

The robots show their light saber and fight

The photo shows a time-lapse from morning to night as buildings light up and fireworks begin to go off.

After sowing, the flowers slowly germinate and eventually bloom.

The woman in picture 1 changes her clothes in picture 2.

Autobot transformation

Iron Man puts on his armor.

Narrative: Sherlock leaves his lamplit study and arrives at the outdoor crime scene to investigate. Identity & Wardrobe: preserve the same face, hair, coat, scarf, and props (e.g., magnifying glass). Lighting & Atmosphere: warm tungsten indoors → cool, foggy dawn outdoors; faint breath vapor. Motion path: study (slow push-in) → corridor/street (match cut) → tracking arrival at scene; end on close-up over evidence. Camera: gentle dolly and parallax; no jump cuts; natural coat sway; subtle wind. Color grade: muted Victorian palette; soft film grain; crisp micro-contrast on eyes and hands. Final beat: Sherlock kneels or leans, focused gaze on a small clue near the ground.

The man put on a helmet and started riding a motorcycle

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README

Vidu Q1 — Start-End to Video

Vidu Q1 Start-End to Video generates smooth, coherent motion sequences between a specified start frame and end frame, transforming static images into cinematic 5-second transitions. Built on the Vidu Q-series architecture, it delivers high-quality motion interpolation, making it ideal for professional storytelling, editing, and scene development.

Key Features

Bi-frame Guided Synthesis Generates realistic motion by interpreting both start and end frames, ensuring a seamless visual flow.
Strong Narrative Continuity Preserves scene logic and emotional tone across frames, maintaining coherent storytelling through motion.
Object- and Human-Aware Motion Handles complex transitions involving people, objects, and environments with spatial consistency and natural dynamics.
Adaptive Camera Behavior Simulates camera pans, zooms, or layout changes to achieve cinematic motion depth.
High-Fidelity Quality (720p) Provides production-ready visuals with accurate textures, lighting, and temporal consistency.

Use Cases

Storyboarding and concept animation
Scene interpolation for long-form content or cinematic projects
Instructional or educational visual transitions
Film previsualization and creative prototyping

Pricing

Resolution	Duration	Cost per Clip
720p	5s	$0.40

How to Use

Upload your start frame and end frame (JPEG/PNG).
Optionally include a prompt describing the desired motion or transition style.
Adjust movement_amplitude (auto, small, medium, large).
Click Run to generate your cinematic transition video and download it.

Accessibility:This website uses AI models provided by third parties.

Start End To Video Q1 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/vidu/start-end-to-video-q1 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 Start End To Video Q1 below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/vidu/start-end-to-video-q1" \
  -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",
    "movement_amplitude": "auto",
    "seed": -1
}'

# 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("vidu/start-end-to-video-q1", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://example.com/your-input.jpg",
        "movement_amplitude": "auto",
        "seed": -1
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "vidu/start-end-to-video-q1",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "movement_amplitude": "auto",
    "seed": -1
}
)

print(output["outputs"][0])  # → URL of the generated output

Start End To Video Q1 API — Frequently asked questions

What is the Start End To Video Q1 API?

Start End To Video Q1 is a Vidu model for video generation from images, exposed as a REST API on WaveSpeedAI. Vidu Q1 Start-End To Video turns specified start and end images into smooth image-to-video transitions for morphs and scene fades. 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 Start End To Video Q1 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/vidu/vidu-start-end-to-video-q1.

How much does Start End To Video Q1 cost per run?

Start End To Video Q1 starts at $0.40 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 Start End To Video Q1 accept?

Key inputs: `prompt`, `image`, `seed`, `last_image`, `movement_amplitude`. 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/vidu/vidu-start-end-to-video-q1.

How long does Start End To Video Q1 take to generate?

Average end-to-end generation time on WaveSpeedAI is around 129 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Start End To Video Q1 outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Vidu). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.