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 Topaz Starlight Precise 2.5 in the Workbench Run this model interactively, tune parameters, and compare outputs.
Model ID: topazlabs-upscale-starlight-2-5-videoTopaz Starlight Precise 2.5 is a video restoration and upscaling model focused on preserving fine detail and temporal consistency while improving clarity.
Use this model to upscale input video to 1080p or 4k and control output frame rate.
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": "topazlabs-upscale-starlight-2-5-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" }'
curl -X POST https://hub.oxen.ai/api/ai/videos/generate \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OXEN_API_KEY " \ -d '{ "model": "topazlabs-upscale-starlight-2-5-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4", "resolution": "4k", "enable_clc": true, "is_optimized_mode": true, "target_fps": 24 }'
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": "topazlabs-upscale-starlight-2-5-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" }' | 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": "topazlabs-upscale-starlight-2-5-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4", "resolution": "4k", "enable_clc": true, "is_optimized_mode": true, "target_fps": 24 }' | 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": "topazlabs-upscale-starlight-2-5-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4" }' | 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": "topazlabs-upscale-starlight-2-5-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4", "resolution": "4k", "enable_clc": true, "is_optimized_mode": true, "target_fps": 24 }' | 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/topazlabs-upscale-starlight-2-5-video
Request parameters Required parameters Field Type Default Description input_videostring— Video file to upscale (URL or file path). Format: uri.
Optional parameters Field Type Default Description resolutionstring"4k"Target output resolution. One of: 1080p, 2k, 4k. creativitystring— Controls enhancement intensity. One of: low, middle, high. enable_clcbooleantrueEnables content-aware processing. is_optimized_modebooleantrueEnables optimization mode for faster processing. target_fpsnumber24Target frame rate (fps). One of: 24, 23.976, 25, 29.97, 30, 50, 59.94, 60.
