Sora 2 Pro - Oxen.ai

Try Sora 2 Pro in the Workbench

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

Model ID: openai-sora-2-pro Sora 2 Pro is a video generation model. It excels in producing higher-quality videos up to 12 seconds long at 1080p resolution with synchronized native audio, multi-scene reasoning, and improved narrative coherence compared to standard Sora 2, making it suitable for professional projects requiring polished outputs. Some other noteworthy features of Sora 2 Pro include text-to-video and image-to-video generation, timeline prompting for precise event timing, and enhanced physics simulation for realistic motion.

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": "openai-sora-2-pro",
  "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity."
}'

curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "openai-sora-2-pro",
  "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity.",
  "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": "openai-sora-2-pro",
  "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "aspect_ratio": "landscape",
  "resolution": "standard",
  "seconds": "4"
}'

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": "openai-sora-2-pro",
  "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity."
}' | 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": "openai-sora-2-pro",
  "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity.",
  "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": "openai-sora-2-pro",
  "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "aspect_ratio": "landscape",
  "resolution": "standard",
  "seconds": "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
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": "openai-sora-2-pro",
  "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity."
}' | 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": "openai-sora-2-pro",
  "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity.",
  "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": "openai-sora-2-pro",
  "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity.",
  "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png",
  "aspect_ratio": "landscape",
  "resolution": "standard",
  "seconds": "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/openai-sora-2-pro

Request parameters

Required parameters

Field	Type	Default	Description
`prompt`	`string`	`"An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity."`	Text description of the scene to generate, or instructions for how to transform the input image.

Optional parameters

Field	Type	Default	Description
`input_image`	`string`	—	Optional image used as the first frame. The image must exactly match the target output dimensions. Valid dimensions are 720x1280, 1280x720, 1024x1792, or 1792x1024. Format: uri.
`aspect_ratio`	`string`	`"landscape"`	Target video orientation. Portrait outputs are vertical, landscape outputs are horizontal. Valid dimensions depend on the selected resolution. One of: landscape, portrait.
`resolution`	`string`	`"standard"`	Output resolution. Standard produces 720x1280 (portrait) or 1280x720 (landscape). High produces 1024x1792 (portrait) or 1792x1024 (landscape). One of: standard, high.
`seconds`	`string`	`"4"`	Total video length in seconds. One of: 4, 8, 12.

Inference API

Try Sora 2 Pro 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