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 - Image in the Workbench Run this model interactively, tune parameters, and compare outputs.
Model ID: sam-3-imageSegment Anything 3 - Image is a Large Vision Model (LVM) . It excels in zero-shot image segmentation , detecting and segmenting all instances of objects based on text or visual prompts like points and boxes, offering a unified interface for concept-driven tasks over earlier geometry-only models.
Some other noteworthy features of Segment Anything 3 - Image include exhaustive instance detection (finding every matching object in an image) and a presence head that checks concept existence before localization to reduce false positives.
Metric Value Parameter Count 848 million 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
See the image editing reference for more details. curl -X POST https://hub.oxen.ai/api/ai/images/edit \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OXEN_API_KEY " \ -d '{ "model": "sam-3-image", "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/ox_zoom_out_1926_1076.png", "prompt": "the ox horns" }'
curl -X POST https://hub.oxen.ai/api/ai/images/edit \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OXEN_API_KEY " \ -d '{ "model": "sam-3-image", "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/ox_zoom_out_1926_1076.png", "prompt": "the ox horns", "apply_mask": true, "output_format": "png" }'
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-image", "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/ox_zoom_out_1926_1076.png", "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-image", "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/ox_zoom_out_1926_1076.png", "prompt": "the ox horns", "apply_mask": true, "output_format": "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 .
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-image", "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/ox_zoom_out_1926_1076.png", "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-image", "input_image": "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/ox_zoom_out_1926_1076.png", "prompt": "the ox horns", "apply_mask": true, "output_format": "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 .
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-image
Request parameters Required parameters Field Type Default Description input_imagestring"https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/ox_zoom_out_1926_1076.png"Image to use as reference. Must be jpeg, png, gif, or webp. Format: uri. promptstring"the ox horns"Text description of what you want to segment out of the image.
Optional parameters Field Type Default Description apply_maskbooleantrueApply the mask on the image. output_formatstring"png"Format of the output images One of: jpg, png.
