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Veo on Vertex AI video generation API

Veo is the name of the model that supports video generation. Veo generates a video from a text prompt or an image prompt that you provide. For more information about Veo, see Veo video generation overview .

To explore this model in the console, see the Video Generation model card in the Model Garden.

Try Veo on Vertex AI (Vertex AI Studio)

Try Veo in a Colab

Supported Models

Veo API supports the following models:

veo-2.0-generate-001
veo-2.0-generate-exp
veo-3.0-generate-001
veo-3.0-fast-generate-001
veo-3.0-generate-preview (Preview)
veo-3.0-fast-generate-preview (Preview)

HTTP request

 curl  
-X  
POST  
 \ 
  
-H  
 "Authorization: Bearer 
 $( 
gcloud  
auth  
print-access-token ) 
 " 
  
 \ 
  
-H  
 "Content-Type: application/json" 
  
 \ 
https:// LOCATION 
-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/publishers/google/models/ MODEL_ID 
:predictLongRunning  
 \ 
-d  
 '{ 
 "instances": [ 
 { 
 "prompt": string, 
 "image": { 
 // Union field can be only one of the following: 
 "bytesBase64Encoded": string, 
 "gcsUri": string, 
 // End of list of possible types for union field. 
 "mimeType": string 
 }, 
 "lastFrame": { 
 // Union field can be only one of the following: 
 "bytesBase64Encoded": string, 
 "gcsUri": string, 
 // End of list of possible types for union field. 
 "mimeType": string 
 }, 
 "video": { 
 // Union field can be only one of the following: 
 "bytesBase64Encoded": string, 
 "gcsUri": string, 
 // End of list of possible types for union field. 
 "mimeType": string 
 }, 
 "referenceImages": [ 
 // A list of up to three asset images or at most one style image for the 
 // model to use when generating videos. 
 // 
 // referenceImages is supported by veo-2.0-generate-exp in Preview 
 { 
 "image:" { 
 // Union field can be only one of the following: 
 "bytesBase64Encoded": string, 
 "gcsUri": string, 
 // End of list of possible types for union field. 
 "mimeType": string 
 }, 
 "referenceType": string 
 } 
 ] 
 } 
 ], 
 "parameters": { 
 "aspectRatio": string, 
 "compressionQuality": string, 
 "durationSeconds": integer, 
 "enhancePrompt": boolean, 
 "generateAudio": boolean, 
 "negativePrompt": string, 
 "personGeneration": string, 
 "resolution": string, // Veo 3 models only 
 "sampleCount": integer, 
 "seed": uint32, 
 "storageUri": string 
 } 
 }'

Instances

prompt

string

Required for text-to-video.Optional if an input image prompt is provided (image-to-video).

A text string to guide the first eight seconds in the video. For example:

A fast-tracking shot through a bustling dystopian sprawl with bright neon signs, flying cars and mist, night, lens flare, volumetric lighting
A neon hologram of a car driving at top speed, speed of light, cinematic, incredible details, volumetric lighting
Many spotted jellyfish pulsating under water. Their bodies are transparent and glowing in deep ocean
extreme close-up with a shallow depth of field of a puddle in a street. reflecting a busy futuristic Tokyo city with bright neon signs, night, lens flare
Timelapse of the northern lights dancing across the Arctic sky, stars twinkling, snow-covered landscape
A lone cowboy rides his horse across an open plain at beautiful sunset, soft light, warm colors

image

Union field

Optional. An image to guide video generation, which can be either a bytesBase64Encoded string that encodes an image or a gcsUri string URI to a Cloud Storage bucket location.

lastFrame

Union field

Optional. An image of the first frame of a video to fill the space between. lastFrame can be either a bytesBase64Encoded string that encodes an image or a gcsUri string URI to a Cloud Storage bucket location.

lastFrame is supported by veo-2.0-generate-001 only.

video

Union field

Optional. A Veo generated video to extend in length, which can be either a bytesBase64Encoded string that encodes a video or a gcsUri string URI to a Cloud Storage bucket location.

video is supported by veo-2.0-generate-001 only.

referenceImages

list[referenceImages]

Optional. A list of up to three asset images or at most one style images that describes the referenceImages for the model to use when generating videos.

referenceImages is supported by veo-2.0-generate-exp in Preview .

referenceImages.image

Union field

Optional. Contains the reference images for veo-2.0-generate-exp to use as subject matter input. Each image can be either a bytesBase64Encoded string that encodes an image or a gcsUri string URI to a Cloud Storage bucket location.

referenceImages.referenceType

string

Required in a referenceImages object. Specifies the type of reference image provided. The following values are supported:

"asset" : The reference image provides assets for the generated video, such as: the scene, an object, or a character.
"style" : The reference image provides style information for the generated videos, such as: scene colors, lighting, or texture.

bytesBase64Encoded

string

A bytes base64-encoded string of an image or video file. Used with the following objects:

image
video
lastFrame
referenceImages.image

gcsUri

string

A string URI to a Cloud Storage bucket location. Used with the following objects:

image
video
lastFrame
referenceImages.image

mimeType

string

Required for the following objects:

image
video
lastFrame
referenceImages.image

Specifies the mime type of a video or image.

For images, the following mime types are accepted:

image/jpeg
image/png

For videos, the following mime types are accepted:

video/mp4

Parameters

aspectRatio

string

Optional. Specifies the aspect ratio of generated videos. The following are accepted values:

16:9 (default value)
9:16

compressionQuality

string

Optional. Specifies the compression quality of the generated videos. The accepted values are "optimized" or "lossless" .

The devault is "optimized" .

durationSeconds

integer

Required. The length in seconds of video files that you want to generate.

The following are the accepted values:

veo-2.0-generate-001 : 5 - 8 . The default is 8 .
veo-3.0-generate-preview : 8 .
When using referenceImages : 8 .

enhancePrompt

boolean

Optional. Use Gemini to enhance your prompts. Accepted values are true or false . The default value is true .

enhancePrompt isn't supported by veo-3.0-generate-001 or veo-3.0-fast-generate-001 .

generateAudio

boolean

Required for veo-3.0-generate-preview . Generate audio for the video. Accepted values are true or false .

generateAudio isn't supported by veo-2.0-generate-001 or veo-2.0-generate-exp .

negativePrompt

string

Optional. A text string that describes anything you want to discourage the model from generating. For example:

overhead lighting, bright colors
people, animals
multiple cars, wind

personGeneration

string

Optional. The safety setting that controls whether people or face generation is allowed. One of the following:

allow_adult (default value): allow generation of adults only
dont_allow : disallows inclusion of people/faces in images

resolution

string

Optional. Veo 3 models only. The resolution of the generated video. Accepted values are 720p (default) or 1080p .

sampleCount

int

Optional. The number of output videos requested. Accepted values are 1 - 4 .

seed

uint32

Optional. A number to request to make generated videos deterministic. Adding a seed number with your request without changing other parameters will cause the model to produce the same videos.

The accepted range is 0 - 4,294,967,295 .

storageUri

string

Optional. A Cloud Storage bucket URI to store the output video, in the format gs:// BUCKET_NAME / SUBDIRECTORY . If a Cloud Storage bucket isn't provided, base64-encoded video bytes are returned in the response.

Sample requests

Use the following examples to create your own video request:

Text-to-video generation request

REST

To test a text prompt by using the Vertex AI Veo API, send a POST request to the publisher model endpoint.

Before using any of the request data, make the following replacements:

PROJECT_ID : A string representing your Google Cloud project ID.
MODEL_ID : A string respresenting the model ID to use. The following are accepted values:
- "veo-2.0-generate-001"
- "veo-3.0-generate-001"
- "veo-3.0-fast-generate-001"
- "veo-3.0-generate-preview" (Preview)
- "veo-3.0-fast-generate-preview" (Preview)
TEXT_PROMPT : The text prompt used to guide video generation.
OUTPUT_STORAGE_URI : Optional: A string representing the Cloud Storage bucket to store the output videos. If not provided, video bytes are returned in the response. For example: "gs://video-bucket/output/" .
RESPONSE_COUNT : The number of video files to generate. The accepted range of values is 1 - 4 .
DURATION : An integer representing the length of the generated video files. The following are the accepted values for each model:
- Veo 2 models: 5 - 8
- Veo 3 models: 8
Additional optional parameters

Use the following optional variables depending on your use case. Add some or all of the following parameters in the "parameters": {} object.
```
"parameters": {
  "aspectRatio": " ASPECT_RATIO 
",
  "negativePrompt": " NEGATIVE_PROMPT 
",
  "personGeneration": " PERSON_SAFETY_SETTING 
",
  // "resolution": RESOLUTION 
, // Veo 3 models only
  "sampleCount": RESPONSE_COUNT 
,
  "seed": SEED_NUMBER 
}
```
- ASPECT_RATIO : Optional: A string value that describes the aspect ratio of the generated videos. You can use the following values:
  - "16:9" for landscape
  - "9:16" for portrait
  The default value is "16:9"
- NEGATIVE_PROMPT : Optional: A string value that describes content that you want to prevent the model from generating.
- PERSON_SAFETY_SETTING : Optional: A string value that controls the safety setting for generating people or face generation. You can use the following values:
  - "allow_adult" : Only allow generation of adult people and faces.
  - "disallow" : Doesn't generate people or faces.
  The default value is "allow_adult" .
- RESOLUTION : Optional: A string value that controls the resolution of the generated video. Supported by Veo 3 models only. You can use the following values:
  - "720p"
  - "1080p"
  The default value is "720p" .
- RESPONSE_COUNT : Optional. An integer value that describes the number of videos to generate. The accepted range of values is 1 - 4 .
- SEED_NUMBER : Optional. An uint32 value that the model uses to generate deterministic videos. Specifying a seed number with your request without changing other parameters guides the model to produce the same videos. The accepted range of values is 0 - 4294967295 .

HTTP method and URL:

POST https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
:predictLongRunning

Request JSON body:

{
  "instances": [
    {
      "prompt": " TEXT_PROMPT 
"
    }
  ],
  "parameters": {
    "storageUri": " OUTPUT_STORAGE_URI 
",
    "sampleCount": " RESPONSE_COUNT 
"
  }
}

To send your request, choose one of these options:

curl

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login , or by using Cloud Shell , which automatically logs you into the gcloud CLI . You can check the currently active account by running gcloud auth list .

Save the request body in a file named request.json , and execute the following command:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
:predictLongRunning"

PowerShell

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login . You can check the currently active account by running gcloud auth list .

Save the request body in a file named request.json , and execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
:predictLongRunning" | Select-Object -Expand Content

This request returns a full operation name with a unique operation ID. Use this full operation name to poll that status of the video generation request.

{
  "name": " projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
/operations/ a1b07c8e-7b5a-4aba-bb34-3e1ccb8afcc8 
"
}

Image-to-video generation request

REST

To test a text prompt by using the Vertex AI Veo API, send a POST request to the publisher model endpoint.

Before using any of the request data, make the following replacements:

PROJECT_ID : A string representing your Google Cloud project ID.
MODEL_ID : A string respresenting the model ID to use. The following are accepted values:
- veo-2.0-generate-001 (GA)
- veo-3.0-generate-preview (Preview)
TEXT_PROMPT : The text prompt used to guide video generation.
INPUT_IMAGE : A base64-encoded string that represents the input image. For best quality, we recommend that the input image's resolution be 720p (1280 x 720 pixels) or higher, and have an aspect ratio of either 16:9 or 9:16. Images of other aspect ratios or sizes may be resized or centrally cropped when the image is uploaded.
MIME_TYPE : A string representing the MIME type of the input image. Only the images of the following MIME types are supported:
- "image/jpeg"
- "image/png"
OUTPUT_STORAGE_URI : Optional: A string representing the Cloud Storage bucket to store the output videos. If not provided, video bytes are returned in the response. For example: "gs://video-bucket/output/" .
RESPONSE_COUNT : The number of video files to generate. The accepted range of values is 1 - 4 .
DURATION : An integer representing the length of the generated video files. The following are the accepted values for each model:
- Veo 2 models: 5 - 8
- Veo 3 models: 8
Additional optional parameters

Use the following optional variables depending on your use case. Add some or all of the following parameters in the "parameters": {} object.
```
"parameters": {
  "aspectRatio": " ASPECT_RATIO 
",
  "negativePrompt": " NEGATIVE_PROMPT 
",
  "personGeneration": " PERSON_SAFETY_SETTING 
",
  // "resolution": RESOLUTION 
, // Veo 3 models only
  "sampleCount": RESPONSE_COUNT 
,
  "seed": SEED_NUMBER 
}
```
- ASPECT_RATIO : Optional: A string value that describes the aspect ratio of the generated videos. You can use the following values:
  - "16:9" for landscape
  - "9:16" for portrait
  The default value is "16:9"
- NEGATIVE_PROMPT : Optional: A string value that describes content that you want to prevent the model from generating.
- PERSON_SAFETY_SETTING : Optional: A string value that controls the safety setting for generating people or face generation. You can use the following values:
  - "allow_adult" : Only allow generation of adult people and faces.
  - "disallow" : Doesn't generate people or faces.
  The default value is "allow_adult" .
- RESOLUTION : Optional: A string value that controls the resolution of the generated video. Supported by Veo 3 models only. You can use the following values:
  - "720p"
  - "1080p"
  The default value is "720p" .
- RESPONSE_COUNT : Optional. An integer value that describes the number of videos to generate. The accepted range of values is 1 - 4 .
- SEED_NUMBER : Optional. An uint32 value that the model uses to generate deterministic videos. Specifying a seed number with your request without changing other parameters guides the model to produce the same videos. The accepted range of values is 0 - 4294967295 .

HTTP method and URL:

POST https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
:predictLongRunning

Request JSON body:

{
  "instances": [
    {
      "prompt": " TEXT_PROMPT 
",
      "image": {
        "bytesBase64Encoded": " INPUT_IMAGE 
",
        "mimeType": " MIME_TYPE 
"
      }
    }
  ],
  "parameters": {
    "storageUri": " OUTPUT_STORAGE_URI 
",
    "sampleCount": RESPONSE_COUNT 
}
}

To send your request, choose one of these options:

curl

Save the request body in a file named request.json , and execute the following command:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
:predictLongRunning"

PowerShell

Save the request body in a file named request.json , and execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
:predictLongRunning" | Select-Object -Expand Content

This request returns a full operation name with a unique operation ID. Use this full operation name to poll that status of the video generation request.

{
  "name": " projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
/operations/ a1b07c8e-7b5a-4aba-bb34-3e1ccb8afcc8 
"
}

Video request using asset images

REST

To test a text prompt by using the Vertex AI Veo API, send a POST request to the publisher model endpoint.

Before using any of the request data, make the following replacements:

PROJECT_ID : Your Google Cloud project ID.
TEXT_PROMPT : The text prompt used to guide video generation.
BASE64_ENCODED_IMAGE : A base64-bytes encoded subject image. You can repeat this field and mimeType to specify up to three subject images.
IMAGE_MIME_TYPE : The MIME type of the input image. Only one of the following:
- image/jpeg
- image/png
You can repeat this field and bytesBase64Encoded to specify up to three subject images.
OUTPUT_STORAGE_URI : Optional: The Cloud Storage bucket to store the output videos. If not provided, a Base64-bytes encoded video is returned in the response. For example: gs://video-bucket/output/ .
RESPONSE_COUNT : The number of video files you want to generate. Accepted integer values: 1-4.
Additional optional parameters

Use the following optional variables depending on your use case. Add some or all of the following parameters in the "parameters": {} object.
```
"parameters": {
  "aspectRatio": " ASPECT_RATIO 
",
  "negativePrompt": " NEGATIVE_PROMPT 
",
  "personGeneration": " PERSON_SAFETY_SETTING 
",
  // "resolution": RESOLUTION 
, // Veo 3 models only
  "sampleCount": RESPONSE_COUNT 
,
  "seed": SEED_NUMBER 
}
```
- ASPECT_RATIO : Optional: A string value that describes the aspect ratio of the generated videos. You can use the following values:
  - "16:9" for landscape
  - "9:16" for portrait
  The default value is "16:9"
- NEGATIVE_PROMPT : Optional: A string value that describes content that you want to prevent the model from generating.
- PERSON_SAFETY_SETTING : Optional: A string value that controls the safety setting for generating people or face generation. You can use the following values:
  - "allow_adult" : Only allow generation of adult people and faces.
  - "disallow" : Doesn't generate people or faces.
  The default value is "allow_adult" .
- RESOLUTION : Optional: A string value that controls the resolution of the generated video. Supported by Veo 3 models only. You can use the following values:
  - "720p"
  - "1080p"
  The default value is "720p" .
- RESPONSE_COUNT : Optional. An integer value that describes the number of videos to generate. The accepted range of values is 1 - 4 .
- SEED_NUMBER : Optional. An uint32 value that the model uses to generate deterministic videos. Specifying a seed number with your request without changing other parameters guides the model to produce the same videos. The accepted range of values is 0 - 4294967295 .

HTTP method and URL:

POST https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/veo-2.0-generate-001:predictLongRunning

Request JSON body:

{
  "instances": [
    {
      "prompt": " TEXT_PROMPT 
",
      // The following fields can be repeated for up to three total
      // images.
      "referenceImages": [
        {
          "image": {
            "bytesBase64Encoded": " BASE64_ENCODED_IMAGE 
",
            "mimeType": " IMAGE_MIME_TYPE 
"
          },
          "referenceType": "asset"
        }
      ]
    }
  ],
  "parameters": {
    "durationSeconds": 8,
    "storageUri": " OUTPUT_STORAGE_URI 
",
    "sampleCount": RESPONSE_COUNT 
}
}

To send your request, choose one of these options:

curl

Save the request body in a file named request.json , and execute the following command:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/veo-2.0-generate-001:predictLongRunning"

PowerShell

Save the request body in a file named request.json , and execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/veo-2.0-generate-001:predictLongRunning" | Select-Object -Expand Content

This request returns a full operation name with a unique operation ID. Use this full operation name to poll that status of the video generation request.

{
  "name": " projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/veo-2.0-generate-001/operations/ a1b07c8e-7b5a-4aba-bb34-3e1ccb8afcc8 
"
}

Video request using a style image

REST

To test a text prompt by using the Vertex AI Veo API, send a POST request to the publisher model endpoint.

Before using any of the request data, make the following replacements:

PROJECT_ID : Your Google Cloud project ID.
TEXT_PROMPT : The text prompt used to guide video generation.
BASE64_ENCODED_IMAGE : A base64-bytes encoded style image.
IMAGE_MIME_TYPE : The MIME type of the input image. Only one of the following:
- image/jpeg
- image/png
OUTPUT_STORAGE_URI : Optional: The Cloud Storage bucket to store the output videos. If not provided, video bytes are returned in the response. For example: gs://video-bucket/output/ .
RESPONSE_COUNT : The number of video files you want to generate. Accepted integer values: 1-4.
Additional optional parameters

Use the following optional variables depending on your use case. Add some or all of the following parameters in the "parameters": {} object.
```
"parameters": {
  "aspectRatio": " ASPECT_RATIO 
",
  "negativePrompt": " NEGATIVE_PROMPT 
",
  "personGeneration": " PERSON_SAFETY_SETTING 
",
  // "resolution": RESOLUTION 
, // Veo 3 models only
  "sampleCount": RESPONSE_COUNT 
,
  "seed": SEED_NUMBER 
}
```
- ASPECT_RATIO : Optional: A string value that describes the aspect ratio of the generated videos. You can use the following values:
  - "16:9" for landscape
  - "9:16" for portrait
  The default value is "16:9"
- NEGATIVE_PROMPT : Optional: A string value that describes content that you want to prevent the model from generating.
- PERSON_SAFETY_SETTING : Optional: A string value that controls the safety setting for generating people or face generation. You can use the following values:
  - "allow_adult" : Only allow generation of adult people and faces.
  - "disallow" : Doesn't generate people or faces.
  The default value is "allow_adult" .
- RESOLUTION : Optional: A string value that controls the resolution of the generated video. Supported by Veo 3 models only. You can use the following values:
  - "720p"
  - "1080p"
  The default value is "720p" .
- RESPONSE_COUNT : Optional. An integer value that describes the number of videos to generate. The accepted range of values is 1 - 4 .
- SEED_NUMBER : Optional. An uint32 value that the model uses to generate deterministic videos. Specifying a seed number with your request without changing other parameters guides the model to produce the same videos. The accepted range of values is 0 - 4294967295 .

HTTP method and URL:

POST https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/veo-2.0-generate-001:predictLongRunning

Request JSON body:

{
  "instances": [
    {
      "prompt": " TEXT_PROMPT 
",
      "referenceImages": [
        {
          "image": {
            "bytesBase64Encoded": " BASE64_ENCODED_IMAGE 
",
            "mimeType": " IMAGE_MIME_TYPE 
"
          },
          "referenceType": "style"
        }
      ]
    }
  ],
  "parameters": {
    "durationSeconds": 8,
    "storageUri": " OUTPUT_STORAGE_URI 
",
    "sampleCount": RESPONSE_COUNT 
}
}

To send your request, choose one of these options:

curl

Save the request body in a file named request.json , and execute the following command:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/veo-2.0-generate-001:predictLongRunning"

PowerShell

Save the request body in a file named request.json , and execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/veo-2.0-generate-001:predictLongRunning" | Select-Object -Expand Content

This request returns a full operation name with a unique operation ID. Use this full operation name to poll that status of the video generation request.

{
  "name": " projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/veo-2.0-generate-001/operations/ a1b07c8e-7b5a-4aba-bb34-3e1ccb8afcc8 
"
}

Poll the status of the video generation long-running operation

Check the status of the video generation long-running operation.

REST

Before using any of the request data, make the following replacements:

PROJECT_ID : Your Google Cloud project ID .
MODEL_ID : The model ID to use.
OPERATION_ID : The unique operation ID returned in the original generate video request.

HTTP method and URL:

POST https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
:fetchPredictOperation

Request JSON body:

{
  "operationName": "projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
/operations/ OPERATION_ID 
"
}

To send your request, choose one of these options:

curl

Save the request body in a file named request.json , and execute the following command:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
:fetchPredictOperation"

PowerShell

Save the request body in a file named request.json , and execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://us-central1-aiplatform.googleapis.com/v1/projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
:fetchPredictOperation" | Select-Object -Expand Content

This request returns information about the operation, including if the operation is still running or is done.

Response

{
  "name": "projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
/operations/ OPERATION_ID 
", "done": true,"response": {
    "raiMediaFilteredCount": 0,
    "@type": "type.googleapis.com/cloud.ai.large_models.vision.GenerateVideoResponse",
    "videos": [
      {
        "gcsUri":"gs://BUCKET_NAME/TIMESTAMPED_FOLDER/sample_0.mp4",
        "mimeType": "video/mp4"
      }
    ]
  }
}

Response body (generate video request)

Sending a text-to-video or image-to-video request returns the following response:

  { 
  
 "name" 
 : 
  
 string 
 }

Response element	Description
`name`	The full operation name of the long-running operation that begins after a video generation request is sent.

Sample response (generate video request)

  { 
  
 "name" 
:  
 "projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
/operations/ OPERATION_ID 
" 
 }

Response body (poll long-running operation)

Polling the status of the original video generation long-running operation returns a response similar to the following:

  { 
  
 "name" 
 : 
  
 string 
 , 
  
 "done" 
 : 
  
 boolean 
 , 
  
 "response" 
 : 
 { 
  
 "@type" 
 : 
 "type.googleapis.com/cloud.ai.large_models.vision.GenerateVideoResponse" 
 , 
  
 "raiMediaFilteredCount" 
 : 
  
 integer 
 , 
  
 "videos" 
 : 
 [ 
  
 { 
  
 "gcsUri" 
 : 
  
 string 
 , 
  
 "mimeType" 
 : 
  
 string 
  
 }, 
  
 { 
  
 "gcsUri" 
 : 
  
 string 
 , 
  
 "mimeType" 
 : 
  
 string 
  
 }, 
  
 { 
  
 "gcsUri" 
 : 
  
 string 
 , 
  
 "mimeType" 
 : 
  
 string 
  
 }, 
  
 { 
  
 "gcsUri" 
 : 
  
 string 
 , 
  
 "mimeType" 
 : 
  
 string 
  
 }, 
  
 ] 
  
 } 
 }

Response element	Description
`bytesBase64Encoded`	A Base64 bytes encoded string that represents the video object.
`done`	A boolean value that indicates whether the operation is complete.
`encoding`	The video encoding type.
`gcsUri`	The Cloud Storage URI of the generated video.
`name`	The full operation name of the long-running operation that begins after a video generation request is sent.
`raiMediaFilteredCount`	Returns a count of videos that Veo filtered due to responsible AI policies. If no videos are filtered, the returned count is `0` .
`raiMediaFilteredReasons`	Lists the reasons for any Veo filtered videos due to responsible AI policies. For more information, see Safety filter code categories .
`response`	The response body of the long-running operation.
`video`	The generated video.

Sample response (poll long-running operation)

  { 
  
 "name" 
:  
 "projects/ PROJECT_ID 
/locations/us-central1/publishers/google/models/ MODEL_ID 
/operations/ OPERATION_ID 
" 
,  
 "done" 
:true,  
 "response" 
: { 
  
 "@type" 
: "type.googleapis.com/cloud.ai.large_models.vision.GenerateVideoResponse" 
,  
 "raiMediaFilteredCount" 
:  
 0 
,  
 "videos" 
: [ 
  
 { 
  
 "gcsUri" 
: "gs:// STORAGE_BUCKET 
/ TIMESTAMPED_SUBDIRECTORY 
/sample_0.mp4" 
,  
 "mimeType" 
: "video/mp4" 
  
 } 
,  
 { 
  
 "gcsUri" 
: "gs:// STORAGE_BUCKET 
/ TIMESTAMPED_SUBDIRECTORY 
/sample_1.mp4" 
,  
 "mimeType" 
: "video/mp4" 
  
 } 
,  
 { 
  
 "gcsUri" 
: "gs:// STORAGE_BUCKET 
/ TIMESTAMPED_SUBDIRECTORY 
/sample_2.mp4" 
,  
 "mimeType" 
: "video/mp4" 
  
 } 
,  
 { 
  
 "gcsUri" 
: "gs:// STORAGE_BUCKET 
/ TIMESTAMPED_SUBDIRECTORY 
/sample_3.mp4" 
,  
 "mimeType" 
: "video/mp4" 
  
 } 
  
 ] 
  
 } 
 }

More information

For more information about using Veo on Vertex AI, see Generate videos using text and image prompts using Veo .

What's next

Read Google DeepMind's information on the Veo model .
Read the blog post "Veo and Imagen 3: Announcing new video and image generation models on Vertex AI" .
Read the blog post "New generative media models and tools, built with and for creators" .

Veo on Vertex AI video generation API Stay organized with collections Save and categorize content based on your preferences.

Supported Models

HTTP request

Instances

Parameters

Sample requests

Text-to-video generation request

REST

curl

PowerShell

Image-to-video generation request

REST

curl

PowerShell

Video request using asset images

REST

curl

PowerShell

Video request using a style image

REST

curl

PowerShell

Poll the status of the video generation long-running operation

REST

curl

PowerShell

Response

Response body (generate video request)

Sample response (generate video request)

Response body (poll long-running operation)

Sample response (poll long-running operation)

More information

What's next

Veo on Vertex AI video generation API