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 Segment Anything 3 - Video in the Workbench Run this model interactively, tune parameters, and compare outputs.
Model ID: sam-3-videoSegment Anything 3 - Video is a vision model designed for video object segmentation and tracking. It excels in detecting, segmenting, and tracking objects across video frames using text prompts, points, boxes, masks, or exemplars, with memory mechanisms that propagate predictions while handling occlusions and re-appearances.
Some other noteworthy features of Segment Anything 3 - Video include real-time streaming processing, interactive refinement across frames, and support for concept-driven detection in complex scenes.
Metric Value Parameter Count Unknown Mixture of Experts Unknown Context Length Unknown Multilingual No Quantized* Unknown
*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.
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": "sam-3-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4", "prompt": "the ox horns" }'
curl -X POST https://hub.oxen.ai/api/ai/videos/generate \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OXEN_API_KEY " \ -d '{ "model": "sam-3-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4", "prompt": "the ox horns", "apply_mask": true }'
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": "sam-3-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4", "prompt": "the ox horns" }' | 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": "sam-3-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4", "prompt": "the ox horns", "apply_mask": true }' | 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": "sam-3-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4", "prompt": "the ox horns" }' | 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": "sam-3-video", "input_video": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4", "prompt": "the ox horns", "apply_mask": true }' | 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/sam-3-video
Request parameters Required parameters Field Type Default Description input_videostring"https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4"Video to use as reference. Format: uri. promptstring"the ox horns"Text description of what you want to segment out of the video.
Optional parameters Field Type Default Description apply_maskbooleantrueApply the mask on the image.
