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.
Try Kling O3 4K: Text-to-Video in the Workbench Run this model interactively, tune parameters, and compare outputs.
Model ID: kling-video-o3-4k-text-to-video
Kling O3 4K Text-to-Video is the first AI video model with native 4K (3840x2160) output, generating cinema-grade footage directly from a text prompt with no upscaling step. It supports clips from 3 to 15 seconds, multiple aspect ratios (16:9, 9:16, 1:1), and optional native synchronized audio in English and Chinese. Built for production-ready visuals, large-screen displays, and professional creative workflows where clarity and cinematic detail are non-negotiable.
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. curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY " \
-d '{
"model": "kling-video-o3-4k-text-to-video",
"prompt": "<prompt>"
}'
curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY " \
-d '{
"model": "kling-video-o3-4k-text-to-video",
"prompt": "<prompt>",
"duration": 5,
"aspect_ratio": "16:9",
"generate_audio": false
}'
See the async queue reference for more details. # 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": "kling-video-o3-4k-text-to-video",
"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 .
# 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": "kling-video-o3-4k-text-to-video",
"prompt": "<prompt>",
"duration": 5,
"aspect_ratio": "16:9",
"generate_audio": false
}' | 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 .
See the async queue reference for more details. # 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": "kling-video-o3-4k-text-to-video",
"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 .
# 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": "kling-video-o3-4k-text-to-video",
"prompt": "<prompt>",
"duration": 5,
"aspect_ratio": "16:9",
"generate_audio": false
}' | 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/kling-video-o3-4k-text-to-video
Request parameters
Required parameters
Field Type Default Description promptstring— Text prompt describing the scene to generate.
Optional parameters
Field Type Default Description durationinteger5Length of the generated video in seconds. Range: 3 – 15. aspect_ratiostring"16:9"Aspect ratio of the generated video. One of: 16:9, 9:16, 1:1. generate_audiobooleanfalseGenerate synchronized native audio (English or Chinese) with the video.