WaveSpeedAI APIVidu Image to Video 2.0

Vidu Image to Video 2.0

Bring your images to life by turning them into dynamic videos that capture your vision and action.

Features

Vidu 2.0 image to video can produce fluid, dramatic videos by a single image. The model transforms a still image into a temporally rich narrative sequence by extrapolating realistic motion and scene dynamics.

Key Features

  • High-resolution output (up to 1280×720)
  • Temporal coherence up to 80 to 160 frames (4s to 8s)
  • Artistic and photorealistic flexibility
  • Excellent at facial and motion consistency

ComfyUI

vidu 2.0 image to video is available on ComfyUI, providing local inference capabilities through a node-based workflow, ensuring flexible and efficient image generation on your system.

Use Cases

  • Portrait animation
  • Historical photo storytelling
  • Stylized photo-to-video transitions
  • Product showcase generation

Accelerated Inference

Our accelerated inference approach leverages advanced optimization technology from WavespeedAI. This innovative fusion technique significantly reduces computational overhead and latency, enabling rapid image generation without compromising quality. The entire system is designed to efficiently handle large-scale inference tasks while ensuring that real-time applications achieve an optimal balance between speed and accuracy. For further details, please refer to the blog post.

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/vidu/image-to-video-2.0" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "image": "https://d2g64w682n9w0w.cloudfront.net/media/images/1745492812795806468_P4jFBxup.jpg",
    "prompt": "Two colorful clowns dancing wildly in a busy street market, their exaggerated gestures and big smiles drawing attention. Vibrant stalls in the background, chaotic and joyful atmosphere, fast-paced movement, playful energy",
    "duration": 4,
    "movement_amplitude": "auto",
    "seed": 0
}'

# 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
imagestringYeshttps://d2g64w682n9w0w.cloudfront.net/media/images/1745492812795806468_P4jFBxup.jpg-An image to be used as the start frame of the generated video. For fields that accept images: Only accepts 1 image; Images Assets can be provided via URLs or Base64 encode; You must use one of the following codecs: PNG, JPEG, JPG, WebP; The aspect ratio of the images must be less than 1:4 or 4:1; All images are limited to 50MB; The length of the base64 decode must be under 50MB, and it must include an appropriate content type string.
promptstringYesTwo colorful clowns dancing wildly in a busy street market, their exaggerated gestures and big smiles drawing attention. Vibrant stalls in the background, chaotic and joyful atmosphere, fast-paced movement, playful energy-Text prompt: A textual description for video generation, with a maximum length of 1500 characters
durationintegerNo44, 8The number of seconds of duration for the output video Default to 4 accepted value: 4, 8
movement_amplitudestringNoauto-The movement amplitude of objects in the frame. Defaults to auto, accepted value: auto small medium large
seedintegerNo--1 ~ 9999999999The seed to use for generating the video. Random seed: Defaults to a random seed number; Manually set values will override the default random seed.

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
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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