Prediction

Model

subhash25rawat/logo-in-context:804d7434

wd7pa1yvfnrme0cmsyqrb126am

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

4m 49s

Created

11 months ago

Webhook

–

Input

image: https://replicate.delivery/pbxt/MRHCyaQwFobMkYrJrTfirHjnawtqiVxuWY14j6rws5ap493g/Screenshot%202025-02-04%20at%2012.09.26%E2%80%AFPM.png
logo_description: a company logo
picture_description: The logo embroided on a cap and a tshirt which a model is wearing

{
  "image": "https://replicate.delivery/pbxt/MRHCyaQwFobMkYrJrTfirHjnawtqiVxuWY14j6rws5ap493g/Screenshot%202025-02-04%20at%2012.09.26%E2%80%AFPM.png",
  "logo_description": "a company logo",
  "picture_description": "The logo embroided on a cap and a tshirt which a model is wearing"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_YNk**********************************

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 subhash25rawat/logo-in-context using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "subhash25rawat/logo-in-context:804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MRHCyaQwFobMkYrJrTfirHjnawtqiVxuWY14j6rws5ap493g/Screenshot%202025-02-04%20at%2012.09.26%E2%80%AFPM.png",
      logo_description: "a company logo",
      picture_description: "The logo embroided on a cap and a tshirt which a model is wearing"
    }
  }
);

// 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_YNk**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run subhash25rawat/logo-in-context using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "subhash25rawat/logo-in-context:804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b",
    input={
        "image": "https://replicate.delivery/pbxt/MRHCyaQwFobMkYrJrTfirHjnawtqiVxuWY14j6rws5ap493g/Screenshot%202025-02-04%20at%2012.09.26%E2%80%AFPM.png",
        "logo_description": "a company logo",
        "picture_description": "The logo embroided on a cap and a tshirt which a model is wearing"
    }
)

# 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_YNk**********************************

This is your API token. Keep it to yourself.

Run subhash25rawat/logo-in-context 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": "subhash25rawat/logo-in-context:804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b",
    "input": {
      "image": "https://replicate.delivery/pbxt/MRHCyaQwFobMkYrJrTfirHjnawtqiVxuWY14j6rws5ap493g/Screenshot%202025-02-04%20at%2012.09.26%E2%80%AFPM.png",
      "logo_description": "a company logo",
      "picture_description": "The logo embroided on a cap and a tshirt which a model is wearing"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "wd7pa1yvfnrme0cmsyqrb126am",
  "model": "subhash25rawat/logo-in-context",
  "version": "804d74344a8b264c2f10fa75e81fccab297f8873669517575fc4cd18ed992a6b",
  "input": {
    "image": "https://replicate.delivery/pbxt/MRHCyaQwFobMkYrJrTfirHjnawtqiVxuWY14j6rws5ap493g/Screenshot%202025-02-04%20at%2012.09.26%E2%80%AFPM.png",
    "logo_description": "a company logo",
    "picture_description": "The logo embroided on a cap and a tshirt which a model is wearing"
  },
  "logs": "0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:23,  1.16it/s]\n  7%|▋         | 2/28 [00:01<00:20,  1.29it/s]\n 11%|█         | 3/28 [00:02<00:18,  1.34it/s]\n 14%|█▍        | 4/28 [00:03<00:17,  1.36it/s]\n 18%|█▊        | 5/28 [00:03<00:16,  1.37it/s]\n 21%|██▏       | 6/28 [00:04<00:15,  1.38it/s]\n 25%|██▌       | 7/28 [00:05<00:15,  1.38it/s]\n 29%|██▊       | 8/28 [00:05<00:14,  1.38it/s]\n 32%|███▏      | 9/28 [00:06<00:13,  1.39it/s]\n 36%|███▌      | 10/28 [00:07<00:12,  1.39it/s]\n 39%|███▉      | 11/28 [00:08<00:12,  1.39it/s]\n 43%|████▎     | 12/28 [00:08<00:11,  1.39it/s]\n 46%|████▋     | 13/28 [00:09<00:10,  1.39it/s]\n 50%|█████     | 14/28 [00:10<00:10,  1.39it/s]\n 54%|█████▎    | 15/28 [00:10<00:09,  1.39it/s]\n 57%|█████▋    | 16/28 [00:11<00:08,  1.39it/s]\n 61%|██████    | 17/28 [00:12<00:07,  1.39it/s]\n 64%|██████▍   | 18/28 [00:13<00:07,  1.39it/s]\n 68%|██████▊   | 19/28 [00:13<00:06,  1.39it/s]\n 71%|███████▏  | 20/28 [00:14<00:05,  1.39it/s]\n 75%|███████▌  | 21/28 [00:15<00:05,  1.39it/s]\n 79%|███████▊  | 22/28 [00:15<00:04,  1.39it/s]\n 82%|████████▏ | 23/28 [00:16<00:03,  1.39it/s]\n 86%|████████▌ | 24/28 [00:17<00:02,  1.38it/s]\n 89%|████████▉ | 25/28 [00:18<00:02,  1.38it/s]\n 93%|█████████▎| 26/28 [00:18<00:01,  1.38it/s]\n 96%|█████████▋| 27/28 [00:19<00:00,  1.38it/s]\n100%|██████████| 28/28 [00:20<00:00,  1.49it/s]\n100%|██████████| 28/28 [00:20<00:00,  1.39it/s]",
  "output": [
    "https://replicate.delivery/xezq/jpKN26pFiH6INxvLEkI88lCnVeQUHlDvQs048tIeCF7cl2LUA/output1.png",
    "https://replicate.delivery/xezq/akZ6TEGsaV5LMFZjY2ereiM8hiHXGwfafdoEmodmJAizVavQB/output2.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-02-04T06:39:56.285Z",
  "started_at": "2025-02-04T06:44:23.249282Z",
  "completed_at": "2025-02-04T06:44:44.929617Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/wd7pa1yvfnrme0cmsyqrb126am/cancel",
    "get": "https://api.replicate.com/v1/predictions/wd7pa1yvfnrme0cmsyqrb126am",
    "stream": "https://stream.replicate.com/v1/files/bcwr-cdwmj3ssihikr3s7bmhrhk35jx6tsrtne5d4qd4sohcbc3hhpvmq",
    "web": "https://replicate.com/p/wd7pa1yvfnrme0cmsyqrb126am"
  },
  "metrics": {
    "predict_time": 21.680335945,
    "total_time": 288.644617
  }
}

Generated in

21.7 seconds

Tweak it Report