Veo 3.1 Fast - Image to Video

Try Veo 3.1 Fast - Image to Video in the Workbench

Run this model interactively, tune parameters, and compare outputs.

Model ID: google-veo-3-1-fast Veo 3.1 Fast is Google’s image-to-video model for generating short, high-fidelity videos from a single input image and a motion prompt. It supports natural motion, realistic scene animation, optional native audio generation, and controllable output settings such as duration, aspect ratio, and resolution (including 4k).

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
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-fast",
  "prompt": "<prompt>",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
}'

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-fast",
  "prompt": "<prompt>",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "aspect_ratio": "auto",
  "duration": "8s",
  "resolution": "720p",
  "generate_audio": true,
  "auto_fix": false,
  "safety_tolerance": "4"
}'

See the async queue reference for more details.

Minimal
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-fast",
  "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 the single generation until it 404s (terminal state).
while curl -s -o /dev/null -w "%{http_code}" \
    -H "Authorization: Bearer $OXEN_API_KEY" \
    "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | grep -q "^200$"; do
  sleep 5
done
echo "Done. See the 'Async with SSE' tab to receive the result URL."

# 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-fast",
  "prompt": "<prompt>",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "aspect_ratio": "auto",
  "duration": "8s",
  "resolution": "720p",
  "generate_audio": true,
  "auto_fix": false,
  "safety_tolerance": "4"
}' | jq -r '.generations[0].generation_id')

# Poll the single generation until it 404s (terminal state).
while curl -s -o /dev/null -w "%{http_code}" \
    -H "Authorization: Bearer $OXEN_API_KEY" \
    "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | grep -q "^200$"; do
  sleep 5
done
echo "Done. See the 'Async with SSE' tab to receive the result URL."

See the async queue reference for more details.

Minimal
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-fast",
  "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 .

# 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-fast",
  "prompt": "<prompt>",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "aspect_ratio": "auto",
  "duration": "8s",
  "resolution": "720p",
  "generate_audio": true,
  "auto_fix": false,
  "safety_tolerance": "4"
}' | 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 .

Fetch model details

The models endpoint returns the full model object, including its json_request_schema.

curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/google-veo-3-1-fast

Request parameters

Required parameters

Field	Type	Default	Description
`prompt`	`string`	—	Text prompt describing how to animate the input image.
`input_image`	`string`	—	URL of the input image to animate. Should be 720p or higher in 16:9 or 9:16; other ratios are cropped. Format: uri.

Optional parameters

Field	Type	Default	Description
`aspect_ratio`	`string`	`"auto"`	Output video aspect ratio. One of: auto, 16:9, 9:16.
`duration`	`string`	`"8s"`	Duration of the generated video. One of: 4s, 6s, 8s.
`resolution`	`string`	`"720p"`	Output video resolution. One of: 720p, 1080p, 4k.
`generate_audio`	`boolean`	`true`	Whether to generate audio for the video.
`negative_prompt`	`string`	—	Text describing what to avoid in the generated video.
`seed`	`integer`	—	Random seed for deterministic generation.
`auto_fix`	`boolean`	`false`	Automatically rewrite prompts that fail policy or validation checks.
`safety_tolerance`	`string`	`"4"`	Safety tolerance for moderation. 1 is strictest and 6 is least strict. One of: 1, 2, 3, 4, 5, 6.

Inference API

Try Veo 3.1 Fast - Image to Video in the Workbench

​Example request

​Fetch model details

​Request parameters

​Required parameters

​Optional parameters

Example request

Fetch model details

Request parameters

Required parameters

Optional parameters