Google Veo3 Fast Image To Video API Documentation
Playground
Try it on WaveSpeedAI!Google Veo3 Fast provides faster, more cost-effective Image-to-Video generation vs Veo 3, with commercial use allowed and $0.25/sec pricing. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Veo 3 Fast (I2V) is the high-speed image-to-video variant of Google’s Veo 3 generative suite. It transforms static images into cinematic 1080p motion clips with synchronized native audio — all in a fraction of the time and cost of standard Veo 3.
⚡ Why it stands out
-
From Still Image to Story Turn a single reference image into smooth, realistic motion sequences with natural lighting and perspective continuity.
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High Speed, Low Cost Generates videos up to 30 % faster while using 80 % fewer credits, ideal for rapid creative iterations.
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Cinematic Realism Produces expressive camera motion, atmospheric lighting, and lifelike character animation.
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Native Audio Sync Automatically adds ambient sound, subtle effects, and music that match the visual rhythm — no post-production required.
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Style & Identity Consistency Keeps subjects, color tone, and camera direction faithful to the uploaded image for coherent storytelling.
⚙️ Limits and Performance
| Property | Description |
|---|---|
| Input | Single image + text prompt |
| Max duration | 8 seconds |
| Resolution | Up to 1080p |
| Audio | Native synchronized dialogue, ambient, and music |
| Output format | MP4 with stereo audio |
💰 Pricing
Every run needs $1.2 (both 720p and 1080p)
Without audio needs $0.8
✅ Commercial use allowed
🚀 How to Use
-
Upload an Image Provide a clear, well-lit source image — this defines your main subject and composition.
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Write a Prompt Describe the desired motion, mood, and camera behavior.
> Example: “Slow cinematic zoom out from the character as wind moves through the trees.”
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Adjust Settings Choose the duration (up to 8 s) and resolution (up to 1080p).
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Generate the Video Submit your job — Veo 3 Fast I2V automatically creates the motion and synchronized soundscape.
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Preview & Download Review your result, refine your prompt if needed, and download the final MP4 file.
💡 Pro Tips
- Use bright, high-contrast source images for clearer motion definition.
- Keep prompts focused on one subject or action to ensure stability.
- Add cinematic cues like “soft daylight,” “slow pan,” or “dramatic backlight” for stylistic control.
- Avoid extreme or conflicting directions (e.g., “zoom in and out simultaneously”).
- For multiple related clips, reuse the same source image for consistent appearance.
📝 Notes
- Actual processing time varies depending on queue load and resolution.
- The model is optimized for short, cinematic sequences and social-media content.
- Ensure your uploaded image is clear, accessible, and properly licensed.
- Please make sure your prompts comply with Google’s Safety Guidelines — if an error appears, revise your prompt and try again.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"aspect_ratio": "16:9",
"duration": 8,
"resolution": "720p",
"generate_audio": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/google/veo3-fast/image-to-video" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Text prompt for generation; Positive text prompt. | |
| image | string | Yes | - | The image to use for the generation. | |
| aspect_ratio | string | No | 16:9 | 16:9, 9:16 | Aspect ratio of the video. |
| duration | integer | No | 8 | 8, 4, 6 | The duration of the generated media in seconds. |
| resolution | string | No | 720p | 720p, 1080p | Video resolution. |
| generate_audio | boolean | No | true | - | Whether to generate audio. |
| negative_prompt | string | No | - | Negative prompt for the generation. | |
| seed | integer | No | - | - | 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 | Output values, usually URL strings; some models return text strings or structured result objects (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 |
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 |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |