WaveSpeedAI APIVidu Reference to Video 2.0

Vidu Reference to Video 2.0

Create videos that align with reference subjects—like characters, objects, and environments—using the world’s first Multi-Entity Consistency feature.

Features

Vidu2.0 Reference to Video maintains the character and beauty of reference images for video production. The model keeps the facial and visual consistency of avatars, characters and logos.

Key Features

  • Identity-locked generation
  • Smooth temporal transitions
  • Consistent character motion
  • Visual style adherence

Use Cases

  • Digital influencers & avatars
  • Story-driven video characters
  • Fashion or cosplay generation
  • Personalization in marketing

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/reference-to-video-2.0" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "images": [
        "https://d2g64w682n9w0w.cloudfront.net/media/images/1745492230971199265_J3J5tO7p.jpg",
        "https://d2g64w682n9w0w.cloudfront.net/media/images/1745492247387641003_Z3jDAxur.jpg"
    ],
    "prompt": "the girl walks from the painting to the room, put the coffee cup on the table",
    "aspect_ratio": "16:9",
    "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
imagesarrayYeshttps://d2g64w682n9w0w.cloudfront.net/media/images/1745492230971199265_J3J5tO7p.jpghttps://d2g64w682n9w0w.cloudfront.net/media/images/1745492247387641003_Z3jDAxur.jpg-The model will use the provided images as references to generate a video with consistent subjects. For fields that accept images: Accepts 1 to 3 images; Images Assets can be provided via URLs or Base64 encode; You must use one of the following codecs: PNG, JPEG, JPG, WebP; The dimensions of the images must be at least 128x128 pixels; 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.
promptstringYes-Text prompt: A textual description for video generation, with a maximum length of 1500 characters
aspect_ratiostringNo16:9-The aspect ratio of the output video. Defaults to 16:9, accepted: 16:9 9:16 1:1.
movement_amplitudestringNoauto-The movement amplitude of objects in the frame. Defaults to auto, accepted value: auto, small, medium, large.
seedintegerNo--1 ~ 2147483647The 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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