WaveSpeedAI APIGoogle Veo2 Image to Video

Google Veo2 Image To Video

Google Veo2 Image To Video

Playground

Try it on WavespeedAI!

Veo 2 creates videos with realistic motion and high quality output. Explore different styles and find your own with extensive camera controls.

Features

Google Veo2 on WaveSpeedAI

Google Veo2 on WaveSpeedAI empowers you to create high-quality videos from both text prompts and static images, leveraging Google’s advanced AI for next-generation content creation.


Overview

Veo2 on WaveSpeedAI is designed for seamless text-to-video and image-to-video generation. It understands real-world physics, human movement, and cinematic techniques, making it ideal for creators and developers who want to produce visually stunning, dynamic videos at scale.


🚀 Key Capabilities

  • Text-to-Video Generation
    Turn your ideas into cinematic videos with natural motion and high visual fidelity.
  • Image-to-Video Animation
    Animate static images into smooth, engaging video sequences.
  • Advanced Camera & Cinematic Controls
    Fine-tune camera movement, shot composition, and visual style for professional results.
  • Production-Ready Output
    Generate videos suitable for commercial use, marketing, and creative projects.
  • Scalable Processing
    Handle large volumes of content efficiently with WaveSpeedAI’s robust infrastructure.

  • Marketing & Advertising: Transform product photos into eye-catching video ads and dynamic social media content.
  • Content Creation: Bring blog images to life, generate video thumbnails, and create engaging presentations from text.
  • E-commerce: Showcase products in motion, create lifestyle videos, and enhance online shopping experiences.
  • Creative Projects: Animate illustrations, craft cinematic sequences, and explore new forms of motion graphics.

✨ Prompting Tips

To get the best results with Veo2 on WaveSpeedAI, try these strategies:

  • Shot Composition: Close-up, two shot, over-the-shoulder
  • Lens & Focus: Macro lens, shallow focus, wide-angle lens
  • Genre & Style: Sci-fi, romantic comedy, action movie
  • Camera Motion: Zoom shot, dolly shot, tracking shot, pan shot

🎬 Example Prompt

A close-up shot of melting icicles on a frozen rock wall, with cool blue tones and a zoom-in camera movement, capturing the detailed motion of water drips.

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/google/veo2/image-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "prompt": "the elephant moves around naturally.",
    "image": "https://d1q70pf5vjeyhc.wavespeed.ai/media/images/1753973059445707017_cD2XUQMJ.png",
    "aspect_ratio": "16:9",
    "duration": 5,
    "resolution": "720p",
    "enable_prompt_expansion": true
}'

# 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

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-Text prompt for generation; Positive text prompt.
imagestringYes-The image to use for the generation.
aspect_ratiostringNo16:916:9, 9:16Aspect ratio of the video.
durationintegerNo55, 6, 7, 8The duration of the generated media in seconds.
resolutionstringNo720p720pVideo resolution.
enable_prompt_expansionbooleanNotrue-If set to true, the prompt optimizer will be enabled.
negative_promptstringNo-Negative prompt for the generation.
seedintegerNo--1 ~ 2147483647The random seed to use for the generation.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Query Parameters

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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