Prediction

subscriptions10x/sdxl-inpainting:733bba9bba10b10225a23aae8d62a6d9752f3e89471c2650ec61e50c8c69fb23

Model

subscriptions10x/sdxl-inpainting:733bba9b

d4yrjjdbr5pdnkrl4q2vu7mev4

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

38m 53s

Created

almost 2 years ago

Input

image
prompt: modern bed with beige sheet and pillows
mask_image

{
  "image": "https://replicate.delivery/pbxt/JTvN42RZrXZYc1ud4J1cCD1VQMJnENdRz4AGZ3XjiK4Lxpsg/9a0a1b126a676fb498f81da99c8dffe894ebfe28.png",
  "prompt": "modern bed with beige sheet and pillows",
  "mask_image": "https://replicate.delivery/pbxt/JTvN4KptGqnSDtv3vaeiuMrNoODjUbgSbymY2wK7RFvcXxM1/465174ce5fa1120c42d2885789ebba0a2386d14d.png"
}

Install Replicate’s Node.js client library:

npm install replicate

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 subscriptions10x/sdxl-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "subscriptions10x/sdxl-inpainting:733bba9bba10b10225a23aae8d62a6d9752f3e89471c2650ec61e50c8c69fb23",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JTvN42RZrXZYc1ud4J1cCD1VQMJnENdRz4AGZ3XjiK4Lxpsg/9a0a1b126a676fb498f81da99c8dffe894ebfe28.png",
      prompt: "modern bed with beige sheet and pillows",
      mask_image: "https://replicate.delivery/pbxt/JTvN4KptGqnSDtv3vaeiuMrNoODjUbgSbymY2wK7RFvcXxM1/465174ce5fa1120c42d2885789ebba0a2386d14d.png"
    }
  }
);

// 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

Import the client:

import replicate

Run subscriptions10x/sdxl-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "subscriptions10x/sdxl-inpainting:733bba9bba10b10225a23aae8d62a6d9752f3e89471c2650ec61e50c8c69fb23",
    input={
        "image": "https://replicate.delivery/pbxt/JTvN42RZrXZYc1ud4J1cCD1VQMJnENdRz4AGZ3XjiK4Lxpsg/9a0a1b126a676fb498f81da99c8dffe894ebfe28.png",
        "prompt": "modern bed with beige sheet and pillows",
        "mask_image": "https://replicate.delivery/pbxt/JTvN4KptGqnSDtv3vaeiuMrNoODjUbgSbymY2wK7RFvcXxM1/465174ce5fa1120c42d2885789ebba0a2386d14d.png"
    }
)

# 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.

Run subscriptions10x/sdxl-inpainting 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": "subscriptions10x/sdxl-inpainting:733bba9bba10b10225a23aae8d62a6d9752f3e89471c2650ec61e50c8c69fb23",
    "input": {
      "image": "https://replicate.delivery/pbxt/JTvN42RZrXZYc1ud4J1cCD1VQMJnENdRz4AGZ3XjiK4Lxpsg/9a0a1b126a676fb498f81da99c8dffe894ebfe28.png",
      "prompt": "modern bed with beige sheet and pillows",
      "mask_image": "https://replicate.delivery/pbxt/JTvN4KptGqnSDtv3vaeiuMrNoODjUbgSbymY2wK7RFvcXxM1/465174ce5fa1120c42d2885789ebba0a2386d14d.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-09-06T18:08:45.827045Z",
  "created_at": "2023-09-06T17:29:52.471679Z",
  "data_removed": false,
  "error": null,
  "id": "d4yrjjdbr5pdnkrl4q2vu7mev4",
  "input": {
    "image": "https://replicate.delivery/pbxt/JTvN42RZrXZYc1ud4J1cCD1VQMJnENdRz4AGZ3XjiK4Lxpsg/9a0a1b126a676fb498f81da99c8dffe894ebfe28.png",
    "prompt": "modern bed with beige sheet and pillows",
    "mask_image": "https://replicate.delivery/pbxt/JTvN4KptGqnSDtv3vaeiuMrNoODjUbgSbymY2wK7RFvcXxM1/465174ce5fa1120c42d2885789ebba0a2386d14d.png"
  },
  "logs": "seed: 677567\noriginal_size (736, 512)\n  0%|          | 0/27 [00:00<?, ?it/s]\n  4%|▎         | 1/27 [00:00<00:24,  1.04it/s]\n  7%|▋         | 2/27 [00:01<00:23,  1.04it/s]\n 11%|█         | 3/27 [00:03<00:25,  1.06s/it]\n 15%|█▍        | 4/27 [00:04<00:23,  1.02s/it]\n 19%|█▊        | 5/27 [00:05<00:21,  1.00it/s]\n 22%|██▏       | 6/27 [00:05<00:20,  1.02it/s]\n 26%|██▌       | 7/27 [00:06<00:19,  1.02it/s]\n 30%|██▉       | 8/27 [00:07<00:18,  1.03it/s]\n 33%|███▎      | 9/27 [00:08<00:17,  1.03it/s]\n 37%|███▋      | 10/27 [00:09<00:16,  1.03it/s]\n 41%|████      | 11/27 [00:10<00:15,  1.04it/s]\n 44%|████▍     | 12/27 [00:11<00:14,  1.04it/s]\n 48%|████▊     | 13/27 [00:12<00:13,  1.04it/s]\n 52%|█████▏    | 14/27 [00:13<00:12,  1.04it/s]\n 56%|█████▌    | 15/27 [00:14<00:11,  1.04it/s]\n 59%|█████▉    | 16/27 [00:15<00:10,  1.04it/s]\n 63%|██████▎   | 17/27 [00:16<00:09,  1.04it/s]\n 67%|██████▋   | 18/27 [00:17<00:08,  1.04it/s]\n 70%|███████   | 19/27 [00:18<00:07,  1.04it/s]\n 74%|███████▍  | 20/27 [00:19<00:06,  1.04it/s]\n 78%|███████▊  | 21/27 [00:20<00:05,  1.04it/s]\n 81%|████████▏ | 22/27 [00:21<00:04,  1.04it/s]\n 85%|████████▌ | 23/27 [00:22<00:03,  1.04it/s]\n 89%|████████▉ | 24/27 [00:23<00:02,  1.04it/s]\n 93%|█████████▎| 25/27 [00:24<00:01,  1.04it/s]\n 96%|█████████▋| 26/27 [00:25<00:00,  1.04it/s]\n100%|██████████| 27/27 [00:26<00:00,  1.04it/s]\n100%|██████████| 27/27 [00:26<00:00,  1.03it/s]",
  "metrics": {
    "predict_time": 32.055563,
    "total_time": 2333.355366
  },
  "output": [
    "https://replicate.delivery/pbxt/ssbICIQulZ6JGZmo3nNnRojHo1XyojSiLa9fkYfx3YasInhRA/output_0.png"
  ],
  "started_at": "2023-09-06T18:08:13.771482Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/d4yrjjdbr5pdnkrl4q2vu7mev4",
    "cancel": "https://api.replicate.com/v1/predictions/d4yrjjdbr5pdnkrl4q2vu7mev4/cancel"
  },
  "version": "733bba9bba10b10225a23aae8d62a6d9752f3e89471c2650ec61e50c8c69fb23"
}

Generated in

32.1 seconds

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