> ## Documentation Index > Fetch the complete documentation index at: https://docs.oxen.ai/llms.txt > Use this file to discover all available pages before exploring further. # Sora 2 Pro > Realistic video generation with audio 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](https://www.oxen.ai/ai/workbench?model=openai-sora-2-pro) 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. 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](/inference-api/reference/video_generation) for more details. ```bash cURL theme={null} 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." }' ``` ```python Python theme={null} 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": "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." }, ) response.raise_for_status() print(response.json()) ``` ```bash cURL theme={null} 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" }' ``` ```python Python theme={null} 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": "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" }, ) response.raise_for_status() print(response.json()) ``` ```bash cURL theme={null} curl -X POST https://hub.oxen.ai/api/ai/videos/generate \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OXEN_API_KEY" \ -d '{ "model": "openai-sora-2-pro", "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity.", "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png", "aspect_ratio": "landscape", "resolution": "standard", "seconds": "4" }' ``` ```python Python theme={null} import os import requests response = requests.post( "https://hub.oxen.ai/api/ai/videos/generate", headers={ "Content-Type": "application/json", "Authorization": f"Bearer {os.environ['OXEN_API_KEY']}", }, json={ "model": "openai-sora-2-pro", "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity.", "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png", "aspect_ratio": "landscape", "resolution": "standard", "seconds": "4" }, ) response.raise_for_status() print(response.json()) ``` See the [async queue reference](/inference-api/reference/async_queue) for more details. ```bash cURL theme={null} # Enqueue, capture the generation id. GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OXEN_API_KEY" \ -d '{ "model": "openai-sora-2-pro", "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity." }' | jq -r '.generations[0].generation_id') # Poll until the generation reaches a terminal status. while true; do STATUS=$(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 . ``` ```python Python theme={null} 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": "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." }, ) 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')}") ``` ```bash cURL theme={null} # 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 $OXEN_API_KEY" \ -d '{ "model": "openai-sora-2-pro", "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity.", "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" }' | jq -r '.generations[0].generation_id') # Poll until the generation reaches a terminal status. while true; do STATUS=$(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 . ``` ```python Python theme={null} 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": "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" }, ) 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')}") ``` ```bash cURL theme={null} # 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 $OXEN_API_KEY" \ -d '{ "model": "openai-sora-2-pro", "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity.", "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png", "aspect_ratio": "landscape", "resolution": "standard", "seconds": "4" }' | jq -r '.generations[0].generation_id') # Poll until the generation reaches a terminal status. while true; do STATUS=$(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 . ``` ```python Python theme={null} 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": "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" }, ) 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](/inference-api/reference/async_queue) for more details. ```bash cURL theme={null} # 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($0, 7) if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit } expect = 0 } ' | jq . ``` ```python Python theme={null} import json import os import requests API_KEY = os.environ["OXEN_API_KEY"] AUTH = {"Authorization": f"Bearer {API_KEY}"} enqueue = requests.post( "https://hub.oxen.ai/api/ai/queue", headers={**AUTH, "Content-Type": "application/json"}, json={ "model": "openai-sora-2-pro", "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity." }, ) enqueue.raise_for_status() generation_id = enqueue.json()["generations"][0]["generation_id"] with requests.get( "https://hub.oxen.ai/api/events", headers=AUTH, stream=True, ) as stream: event_name = None for line in stream.iter_lines(decode_unicode=True): if line.startswith("event: "): event_name = line.removeprefix("event: ") elif line.startswith("data: ") and event_name == "media_generation_completed": payload = json.loads(line.removeprefix("data: ")) if payload.get("generation_id") == generation_id: print(payload) break ``` ```bash cURL theme={null} # Enqueue, capture the generation id. GEN_ID=$(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($0, 7) if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit } expect = 0 } ' | jq . ``` ```python Python theme={null} import json import os import requests API_KEY = os.environ["OXEN_API_KEY"] AUTH = {"Authorization": f"Bearer {API_KEY}"} enqueue = requests.post( "https://hub.oxen.ai/api/ai/queue", headers={**AUTH, "Content-Type": "application/json"}, json={ "model": "openai-sora-2-pro", "prompt": "An ox being given a speeding ticket by a police officer. The ox is driving a Porsche 911, with sunglasses and a hat on like a high profile celebrity.", "input_image": "https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png" }, ) enqueue.raise_for_status() generation_id = enqueue.json()["generations"][0]["generation_id"] with requests.get( "https://hub.oxen.ai/api/events", headers=AUTH, stream=True, ) as stream: event_name = None for line in stream.iter_lines(decode_unicode=True): if line.startswith("event: "): event_name = line.removeprefix("event: ") elif line.startswith("data: ") and event_name == "media_generation_completed": payload = json.loads(line.removeprefix("data: ")) if payload.get("generation_id") == generation_id: print(payload) break ``` ```bash cURL theme={null} # Enqueue, capture the generation id. GEN_ID=$(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 . ``` ```python Python theme={null} 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": "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" }, ) 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](/inference-api/reference/models/overview) returns the full model object, including its `json_request_schema`. ```bash theme={null} 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. |