Google Veo3 Fast
Playground
Try it on WavespeedAI!Generate videos with Google Veo 3 Fast - faster and more cost-effective than standard Veo 3. Starting at $0.25/second. Commercial use allowed.
Features
Google Veo 3 Fast AI Video Generator
Veo 3 Fast is a faster, more cost-effective version of Google’s Veo 3 AI video generator. It creates high-quality, realistic videos with synchronized audio—including dialogue, ambient sounds, and music.
🏎️ Key Features
-
Lightning-Fast Video Creation
Generates 8‑second cinematic clips about 30% faster than standard Veo 3, enabling rapid iteration under a minute. :contentReference[oaicite:1]{index=1} -
Up to 80% Cost Reduction
Consumes far fewer credits (about 20 credits per clip vs ~100), so you can produce 5× more content on the same budget. :contentReference[oaicite:2]{index=2} -
Immersive Native Audio
Automatically produces synchronized sound effects, character dialogue, ambient noise, and music—no audio post‑production needed. :contentReference[oaicite:3]{index=3} -
Consistent Characters & Style Control
Maintains character consistency via reference images and precise camera movement controls. :contentReference[oaicite:4]{index=4} -
Seamless First-to-Last Frame Transitions
Creates smooth animations transitioning between two uploaded images. :contentReference[oaicite:5]{index=5}
📱 Social Media Ready
Designed for engaging short videos—supports “fake news,” time travel, talking animals, and other viral-worthy formats. :contentReference[oaicite:6]{index=6}
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-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"prompt": "An energetic street performer in Times Square grabs the mic and yells toward the crowd with wide eyes:“Yo! Google Veo 3 Fast just dropped on WaveSpeedAI! It’s REAL as hell! Sound and texture are NEXT LEVEL! Try it right now!!”Crowd ambience, city lights, wild gestures, fast jump cuts.",
"aspect_ratio": "16:9",
"duration": 8,
"resolution": "720p",
"generate_audio": false,
"enable_prompt_expansion": true
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
Parameter | Type | Required | Default | Range | Description |
---|---|---|---|---|---|
prompt | string | Yes | - | Text prompt for generation; Positive text prompt. | |
aspect_ratio | string | No | 16:9 | - | Aspect ratio of the video. |
duration | integer | No | 8 | 8 | The duration of the generated media in seconds. |
resolution | string | No | 720p | - | Video resolution. |
generate_audio | boolean | No | false | - | Generate audio for the video. |
enable_prompt_expansion | boolean | No | true | - | If set to true, the prompt optimizer will be enabled. |
negative_prompt | string | No | - | 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 Query Parameters
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 | 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 |