Try Veo 3.1 Lite in the Workbench
Run this model interactively, tune parameters, and compare outputs.
google-veo-3-1-lite
Veo 3.1 Lite is Google’s most cost-efficient Veo model, generating high-quality short videos from a text prompt or a first-frame image, with native synchronized audio.
It balances quality and cost for everyday creative and production workflows, with controllable duration, aspect ratio, and resolution.
Example request
Use the Workbench as a request builder: configure parameters for this model in the UI, then open the API tab to copy the exact cURL or Python call.
- Sync
- Async
- Async with SSE
This blocks until the video is ready (typically 5-15 minutes). Prefer Async or Async with SSE for anything beyond quick experimentation.See the video generation reference for more details.
- Minimal
- Basic parameters
- All parameters
curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "google-veo-3-1-lite",
"prompt": "<prompt>"
}'
import os
import requests
response = requests.post(
"https://hub.oxen.ai/api/ai/videos/generate",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
},
json={
"model": "google-veo-3-1-lite",
"prompt": "<prompt>"
},
)
response.raise_for_status()
print(response.json())
curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
}'
import os
import requests
response = requests.post(
"https://hub.oxen.ai/api/ai/videos/generate",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
},
json={
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
},
)
response.raise_for_status()
print(response.json())
curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 8
}'
import os
import requests
response = requests.post(
"https://hub.oxen.ai/api/ai/videos/generate",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
},
json={
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 8
},
)
response.raise_for_status()
print(response.json())
See the async queue reference for more details.
- Minimal
- Basic parameters
- All parameters
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "google-veo-3-1-lite",
"prompt": "<prompt>"
}' | jq -r '.generations[0].generation_id')
# Poll until the generation reaches a terminal status.
while true; do
STATUS=$(curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
"https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq -r '.status')
echo "Status: $STATUS"
case $STATUS in succeeded|failed|cancelled) break;; esac
sleep 5
done
# Print the result.
curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
"https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq .
import os
import time
import requests
HEADERS = {
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers=HEADERS,
json={
"model": "google-veo-3-1-lite",
"prompt": "<prompt>"
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
while True:
data = requests.get(
f"https://hub.oxen.ai/api/ai/queue/{generation_id}",
headers=HEADERS,
).json()
if data["status"] in {"succeeded", "failed", "cancelled"}:
break
time.sleep(5)
if data["status"] == "succeeded":
print(f"Result: {data['result_url']}")
else:
print(f"Generation {data['status']}: {data.get('error_message')}")
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
}' | jq -r '.generations[0].generation_id')
# Poll until the generation reaches a terminal status.
while true; do
STATUS=$(curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
"https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq -r '.status')
echo "Status: $STATUS"
case $STATUS in succeeded|failed|cancelled) break;; esac
sleep 5
done
# Print the result.
curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
"https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq .
import os
import time
import requests
HEADERS = {
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers=HEADERS,
json={
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
while True:
data = requests.get(
f"https://hub.oxen.ai/api/ai/queue/{generation_id}",
headers=HEADERS,
).json()
if data["status"] in {"succeeded", "failed", "cancelled"}:
break
time.sleep(5)
if data["status"] == "succeeded":
print(f"Result: {data['result_url']}")
else:
print(f"Generation {data['status']}: {data.get('error_message')}")
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 8
}' | jq -r '.generations[0].generation_id')
# Poll until the generation reaches a terminal status.
while true; do
STATUS=$(curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
"https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq -r '.status')
echo "Status: $STATUS"
case $STATUS in succeeded|failed|cancelled) break;; esac
sleep 5
done
# Print the result.
curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
"https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq .
import os
import time
import requests
HEADERS = {
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers=HEADERS,
json={
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 8
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
while True:
data = requests.get(
f"https://hub.oxen.ai/api/ai/queue/{generation_id}",
headers=HEADERS,
).json()
if data["status"] in {"succeeded", "failed", "cancelled"}:
break
time.sleep(5)
if data["status"] == "succeeded":
print(f"Result: {data['result_url']}")
else:
print(f"Generation {data['status']}: {data.get('error_message')}")
See the async queue reference for more details.
- Minimal
- Basic parameters
- All parameters
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "google-veo-3-1-lite",
"prompt": "<prompt>"
}' | jq -r '.generations[0].generation_id')
# Stream the SSE channel, grab the data line that follows a
# media_generation_completed event for our id, and pretty-print it.
curl -sN -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/events \
| awk -v id="$GEN_ID" '
/^event: media_generation_completed$/ { expect=1; next }
/^data: / && expect {
payload = substr($0, 7)
if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
expect = 0
}
' | jq .
import json
import os
import requests
API_KEY = os.environ["OXEN_API_KEY"]
AUTH = {"Authorization": f"Bearer {API_KEY}"}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers={**AUTH, "Content-Type": "application/json"},
json={
"model": "google-veo-3-1-lite",
"prompt": "<prompt>"
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
with requests.get(
"https://hub.oxen.ai/api/events",
headers=AUTH,
stream=True,
) as stream:
event_name = None
for line in stream.iter_lines(decode_unicode=True):
if line.startswith("event: "):
event_name = line.removeprefix("event: ")
elif line.startswith("data: ") and event_name == "media_generation_completed":
payload = json.loads(line.removeprefix("data: "))
if payload.get("generation_id") == generation_id:
print(payload)
break
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
}' | jq -r '.generations[0].generation_id')
# Stream the SSE channel, grab the data line that follows a
# media_generation_completed event for our id, and pretty-print it.
curl -sN -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/events \
| awk -v id="$GEN_ID" '
/^event: media_generation_completed$/ { expect=1; next }
/^data: / && expect {
payload = substr($0, 7)
if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
expect = 0
}
' | jq .
import json
import os
import requests
API_KEY = os.environ["OXEN_API_KEY"]
AUTH = {"Authorization": f"Bearer {API_KEY}"}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers={**AUTH, "Content-Type": "application/json"},
json={
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
with requests.get(
"https://hub.oxen.ai/api/events",
headers=AUTH,
stream=True,
) as stream:
event_name = None
for line in stream.iter_lines(decode_unicode=True):
if line.startswith("event: "):
event_name = line.removeprefix("event: ")
elif line.startswith("data: ") and event_name == "media_generation_completed":
payload = json.loads(line.removeprefix("data: "))
if payload.get("generation_id") == generation_id:
print(payload)
break
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 8
}' | jq -r '.generations[0].generation_id')
# Stream the SSE channel, grab the data line that follows a
# media_generation_completed event for our id, and pretty-print it.
curl -sN -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/events \
| awk -v id="$GEN_ID" '
/^event: media_generation_completed$/ { expect=1; next }
/^data: / && expect {
payload = substr($0, 7)
if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
expect = 0
}
' | jq .
import json
import os
import requests
API_KEY = os.environ["OXEN_API_KEY"]
AUTH = {"Authorization": f"Bearer {API_KEY}"}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers={**AUTH, "Content-Type": "application/json"},
json={
"model": "google-veo-3-1-lite",
"prompt": "<prompt>",
"input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 8
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
with requests.get(
"https://hub.oxen.ai/api/events",
headers=AUTH,
stream=True,
) as stream:
event_name = None
for line in stream.iter_lines(decode_unicode=True):
if line.startswith("event: "):
event_name = line.removeprefix("event: ")
elif line.startswith("data: ") and event_name == "media_generation_completed":
payload = json.loads(line.removeprefix("data: "))
if payload.get("generation_id") == generation_id:
print(payload)
break
Fetch model details
The models endpoint returns the full model object, including itsjson_request_schema.
curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/google-veo-3-1-lite
Request parameters
Required parameters
| Field | Type | Default | Description |
|---|---|---|---|
prompt | string | — | Text description of the video to generate, or how to animate the input image. |
Optional parameters
| Field | Type | Default | Description |
|---|---|---|---|
input_image | string | — | Optional first-frame image to animate (image-to-video). Leave empty to generate from the prompt alone. Format: uri. |
aspect_ratio | string | "16:9" | Output video aspect ratio. One of: 16:9, 9:16. |
resolution | string | "720p" | Output video resolution. 1080p requires an 8 second duration. One of: 720p, 1080p. |
duration | integer | 8 | Video duration in seconds. 1080p requires 8 seconds. One of: 4, 6, 8. |
seed | integer | — | Random seed for deterministic generation. |