Google Veo3.1 Lite Start End To Video

Playground

Google Veo 3.1 Lite Start-End-to-Video generates high-fidelity videos by interpolating between a start image and an optional end image. Supports 720p and 1080p resolutions, landscape and portrait aspect ratios, and native audio generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Google Veo 3.1 Lite Start-End-to-Video

Google Veo 3.1 Lite Start-End-to-Video generates high-fidelity videos by interpolating between a start image (first frame) and an optional end image (last frame). The model creates smooth, natural motion that transitions between the two keyframes guided by a text prompt. Supports 720p and 1080p resolutions, landscape and portrait aspect ratios, and native audio generation. Ideal for creating cinematic transitions, morphing effects, and keyframe-based video production.

Model Highlights

Video interpolation between start and end keyframe images
Text prompt guidance for controlling the transition motion
Optional end image for targeted interpolation
720p and 1080p resolution support (no 4K)
Landscape (16:9) and portrait (9:16) aspect ratios
Native audio generation always on
24fps output frame rate
REST API with consistent performance and no cold starts

Parameters

prompt (required): Text description of the desired video motion and scene.
image (required): URL of the image to use as the first frame.
last_image (optional): URL of the image to use as the last frame for interpolation.
resolution (select): 720p (default), 1080p.
aspect_ratio (select): 16:9 (default), 9:16.
negative_prompt (optional): Description of elements to exclude.
seed (optional): Random seed for improved reproducibility.

Use Cases

Creating smooth transitions between two keyframe images
Cinematic morphing effects between different scenes
Keyframe-based video production and animation
Product visualization with start and end states
Creative storytelling with defined beginning and ending

Pricing

Resolution	Cost per 8s
720p	$0.40
1080p	$0.64

Billing Rules

720p: $0.05 per second
1080p: $0.08 per second (1.6× base rate)

How to Use

Provide a start image URL (first frame)
Optionally provide a last_image URL (last frame)
Write a prompt describing the desired motion and transition
Select resolution (720p or 1080p)
Select aspect_ratio (16:9 or 9:16)
Submit via REST API endpoint
Receive the generated interpolation video with audio

API Integration

Simple REST API call with start image and text prompt as the primary inputs. Optionally provide an end image for precise interpolation between two keyframes.

Notes

Both prompt and image (first frame) are required
End image is optional; if omitted, the model generates a natural continuation
Lite variant does not support 4K resolution or video extension
Audio is natively generated and always on
Commercial use is allowed
Videos are watermarked with SynthID

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/veo3.1-lite/start-end-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "aspect_ratio": "16:9",
    "resolution": "720p"
}'

# 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

Parameter	Type	Required	Default	Range	Description
prompt	string	Yes		-	The positive prompt for the generation.
image	string	Yes		-	The image to use for the generation.
last_image	string	Yes	-	-	The last image to use for the generation.
aspect_ratio	string	No	16:9	16:9, 9:16	The aspect ratio of the generated media.
resolution	string	No	720p	720p, 1080p	Video resolution.
negative_prompt	string	No		-	The negative prompt for the generation.
seed	integer	No	-	-1 ~ 2147483647	The random seed to use for the generation.

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Request Parameters

Parameter	Type	Required	Default	Description
id	string	Yes	-	Task ID

Result Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data	object	The prediction data object containing all details
data.id	string	Unique identifier for the prediction, the ID of the prediction to get
data.model	string	Model ID used for the prediction
data.outputs	string	Array of URLs to the generated content (empty when status is not completed).
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

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