Veo3.1 Fast Image to Video

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Google Veo 3.1 Fast is an Image-to-Video model with native 1080p output for high-detail videos from images and fast performance. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video

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Bereit

$1.2pro Durchlauf

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A cheerful gorilla holding a camera talks to the audience in vlog style, standing in a jungle with cinematic lighting. The gorilla waves and says with excitement: "Yo! I just made this with Veo 3.1 on WaveSpeedAI! It even gave me a voice! Let’s gooo!" Background: upbeat jungle music, camera shake, 4K cinematic realism.

A street reporter holds a mic and speaks to camera with excitement. Dialogue: "Breaking news! Veo 3.1 just dropped on WaveSpeedAI. It can talk, act, and think—on video!" Fast zooms, background city traffic, upbeat tone.

A driver films a quick car vlog at a rest stop, golden-hour sky. Dialogue: "Pulled over just to test Veo 3.1 on WaveSpeedAI — it even got the car sounds right!" Wind noise, moving reflections, realistic tone.

Two people sitting on a park bench, phone on tripod. Dialogue (Person 1): "You actually made this with AI?" Person 2: "Yeah — Veo 3.1 on WaveSpeedAI." Person 1: "Wild, right?" Natural daylight, birds chirping, authentic moment.

Flower blossom.

README

Google Veo 3 — Image-to-Video (I2V) Fast

Veo 3 I2V Fast is the high-speed, cost-optimized variant of Google DeepMind's Veo 3 image-to-video model. It transforms static images into cinematic 1080p videos with smooth, realistic motion and natural lighting — all while delivering results up to 30% faster than the standard version. Perfect for creators who need rapid, high-quality motion generation for social content, concept visualization, and creative storytelling.

🎬 Why it stands out

From Image to Motion Transform a single image into a natural, dynamic video sequence while preserving its original composition and style.
Cinematic Realism Produces high-fidelity motion with natural lighting, accurate perspective, and fluid camera transitions.
Native Audio Generation Automatically generates synchronized sound—including ambient noise, effects, and light music—perfectly aligned with the visuals.
Dialogue & Lip-Sync Enables speaking characters or realistic expressions, ideal for storytelling, marketing, and short-form content.
Consistent Subject & Style Retains the identity, color tone, and visual integrity of your input image throughout the motion sequence.

💰 Pricing

Every run needs $1.2 (both 720p and 1080p)

Without audio needs $0.8

✅ Commercial use allowed

🚀 How to Use

Upload an Image Choose a clear, high-quality still image—this defines the subject, framing, and overall style.
Write a Prompt Describe the desired motion, mood, and camera movement.

Example: “Slow cinematic zoom out as wind moves through the trees and sunlight flickers across the leaves.”

Adjust Settings Select the video duration (up to 8 seconds) and output resolution (up to 1080p).
Generate the Video Submit your prompt and image—Veo 3 I2V automatically creates motion, lighting, and audio.
Preview & Download Review the result, refine the prompt if needed, and download the final MP4.

💡 Pro Tips

Use bright, high-contrast images for clearer motion and lighting.
Keep prompts focused on a single subject or action for best stability.
Add camera directions like “tracking shot,” “slow pan,” or “handheld style” to control movement.
Specify lighting and mood (e.g., bright daylight, soft sunset glow).
Avoid conflicting motion requests to maintain smooth results.

📝 Notes

Actual processing time depends on queue load and resolution.
Optimized for cinematic shorts, ads, and social media clips.
Ensure your uploaded image is clear, accessible, and legally usable.
Please ensure your prompts comply with Google's Safety Guidelines — if an error occurs, revise your prompt and try again.

Barrierefreiheit:Diese Website nutzt KI-Modelle von Drittanbietern.

Veo3.1 Fast Image To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/veo3.1-fast/image-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 Veo3.1 Fast Image To Video below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/google/veo3.1-fast/image-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",
    "image": "https://example.com/your-input.jpg",
    "aspect_ratio": "16:9",
    "duration": 8,
    "resolution": "1080p",
    "generate_audio": true,
    "negative_prompt": "blurry, low quality, distorted",
    "seed": 0
}'

# 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("google/veo3.1-fast/image-to-video", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://example.com/your-input.jpg",
        "aspect_ratio": "16:9",
        "duration": 8,
        "resolution": "1080p",
        "generate_audio": true,
        "negative_prompt": "blurry, low quality, distorted",
        "seed": 0
});

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

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "google/veo3.1-fast/image-to-video",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "aspect_ratio": "16:9",
    "duration": 8,
    "resolution": "1080p",
    "generate_audio": true,
    "negative_prompt": "blurry, low quality, distorted",
    "seed": 0
}
)

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

Veo3.1 Fast Image To Video API — Frequently asked questions

What is the Veo3.1 Fast Image To Video API?

Veo3.1 Fast Image To Video is a Google model for video generation from images, exposed as a REST API on WaveSpeedAI. Google Veo 3.1 Fast is an Image-to-Video model with native 1080p output for high-detail videos from images and fast performance. 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 Veo3.1 Fast Image 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/google/google-veo3.1-fast-image-to-video.

How much does Veo3.1 Fast Image To Video cost per run?

Veo3.1 Fast Image To Video starts at $1.20 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 Veo3.1 Fast Image To Video accept?

Key inputs: `prompt`, `image`, `aspect_ratio`, `resolution`, `duration`, `seed`. 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/google/google-veo3.1-fast-image-to-video.

How long does Veo3.1 Fast Image To Video take to generate?

Average end-to-end generation time on WaveSpeedAI is around 115 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Veo3.1 Fast Image To Video outputs commercially?

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