Prediction

Model

lucataco/segment-anything-2:be7cbde9

tfxh1xt85drgm0ch16cb6pnpmw

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

34.8s

Created

over 1 year ago

Webhook

–

Input

image: https://replicate.delivery/pbxt/LMUHQoCnNzN15MpwWLPJUVF96g3zxer6p3dNTHtVrNxqMMe0/socer.png
mask_limit: -1
points_per_side: 64
points_per_batch: 128
pred_iou_thresh: 0.7
stability_score_thresh: 0.92
stability_score_offset: 0.7
crop_n_layers: 1
box_nms_thresh: 0.7
crop_n_points_downscale_factor: 2
min_mask_region_area: 25
mask_2_mask: true
multimask_output: false

{
  "box_nms_thresh": 0.7,
  "crop_n_layers": 1,
  "crop_n_points_downscale_factor": 2,
  "image": "https://replicate.delivery/pbxt/LMUHQoCnNzN15MpwWLPJUVF96g3zxer6p3dNTHtVrNxqMMe0/socer.png",
  "mask_2_mask": true,
  "mask_limit": -1,
  "min_mask_region_area": 25,
  "multimask_output": false,
  "points_per_batch": 128,
  "points_per_side": 64,
  "pred_iou_thresh": 0.7,
  "stability_score_offset": 0.7,
  "stability_score_thresh": 0.92
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_9KR**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/segment-anything-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/segment-anything-2:be7cbde9fdf0eecdc8b20ffec9dd0d1cfeace0832d4d0b58a071d993182e1be0",
  {
    input: {
      box_nms_thresh: 0.7,
      crop_n_layers: 1,
      crop_n_points_downscale_factor: 2,
      image: "https://replicate.delivery/pbxt/LMUHQoCnNzN15MpwWLPJUVF96g3zxer6p3dNTHtVrNxqMMe0/socer.png",
      mask_2_mask: true,
      mask_limit: -1,
      min_mask_region_area: 25,
      multimask_output: false,
      points_per_batch: 128,
      points_per_side: 64,
      pred_iou_thresh: 0.7,
      stability_score_offset: 0.7,
      stability_score_thresh: 0.92
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_9KR**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run lucataco/segment-anything-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/segment-anything-2:be7cbde9fdf0eecdc8b20ffec9dd0d1cfeace0832d4d0b58a071d993182e1be0",
    input={
        "box_nms_thresh": 0.7,
        "crop_n_layers": 1,
        "crop_n_points_downscale_factor": 2,
        "image": "https://replicate.delivery/pbxt/LMUHQoCnNzN15MpwWLPJUVF96g3zxer6p3dNTHtVrNxqMMe0/socer.png",
        "mask_2_mask": True,
        "mask_limit": -1,
        "min_mask_region_area": 25,
        "multimask_output": False,
        "points_per_batch": 128,
        "points_per_side": 64,
        "pred_iou_thresh": 0.7,
        "stability_score_offset": 0.7,
        "stability_score_thresh": 0.92
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_9KR**********************************

This is your API token. Keep it to yourself.

Run lucataco/segment-anything-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "lucataco/segment-anything-2:be7cbde9fdf0eecdc8b20ffec9dd0d1cfeace0832d4d0b58a071d993182e1be0",
    "input": {
      "box_nms_thresh": 0.7,
      "crop_n_layers": 1,
      "crop_n_points_downscale_factor": 2,
      "image": "https://replicate.delivery/pbxt/LMUHQoCnNzN15MpwWLPJUVF96g3zxer6p3dNTHtVrNxqMMe0/socer.png",
      "mask_2_mask": true,
      "mask_limit": -1,
      "min_mask_region_area": 25,
      "multimask_output": false,
      "points_per_batch": 128,
      "points_per_side": 64,
      "pred_iou_thresh": 0.7,
      "stability_score_offset": 0.7,
      "stability_score_thresh": 0.92
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "id": "tfxh1xt85drgm0ch16cb6pnpmw",
  "model": "lucataco/segment-anything-2",
  "version": "be7cbde9fdf0eecdc8b20ffec9dd0d1cfeace0832d4d0b58a071d993182e1be0",
  "input": {
    "box_nms_thresh": 0.7,
    "crop_n_layers": 1,
    "crop_n_points_downscale_factor": 2,
    "image": "https://replicate.delivery/pbxt/LMUHQoCnNzN15MpwWLPJUVF96g3zxer6p3dNTHtVrNxqMMe0/socer.png",
    "mask_2_mask": true,
    "mask_limit": -1,
    "min_mask_region_area": 25,
    "multimask_output": false,
    "points_per_batch": 128,
    "points_per_side": 64,
    "pred_iou_thresh": 0.7,
    "stability_score_offset": 0.7,
    "stability_score_thresh": 0.92
  },
  "logs": "",
  "output": [
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  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-07-31T16:21:00.587Z",
  "started_at": "2024-07-31T16:21:00.757553Z",
  "completed_at": "2024-07-31T16:21:35.41511Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/tfxh1xt85drgm0ch16cb6pnpmw/cancel",
    "get": "https://api.replicate.com/v1/predictions/tfxh1xt85drgm0ch16cb6pnpmw",
    "web": "https://replicate.com/p/tfxh1xt85drgm0ch16cb6pnpmw"
  },
  "metrics": {
    "predict_time": 34.65755729,
    "total_time": 34.82811
  }
}

Generated in

34.7 seconds

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