Prediction

impetusdesign/rqi-txc-itp:d350d0ac395a41a62c4942e28e1ca1e7fbf6c23543bec06599795097b49ae812

Model

impetusdesign/rqi-txc-itp:d350d0ac

5mssvvm5zsrj60ckkhg88a549c

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

24m 54s

Created

9 months ago

Input

image
scale: 0.5
prompt: A seamless pattern having Lotus and Daffodils

{
  "image": "https://replicate.delivery/pbxt/M65x6u7RptL8vxU5KSYZpkckkkkknvJT45BhJ5tN6ZgLzWWk/replicatetest.png",
  "scale": 0.5,
  "prompt": "A seamless pattern having Lotus and Daffodils"
}

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 impetusdesign/rqi-txc-itp using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "impetusdesign/rqi-txc-itp:d350d0ac395a41a62c4942e28e1ca1e7fbf6c23543bec06599795097b49ae812",
  {
    input: {
      image: "https://replicate.delivery/pbxt/M65x6u7RptL8vxU5KSYZpkckkkkknvJT45BhJ5tN6ZgLzWWk/replicatetest.png",
      scale: 0.5,
      prompt: "A seamless pattern having Lotus and Daffodils"
    }
  }
);

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

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

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 impetusdesign/rqi-txc-itp using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "impetusdesign/rqi-txc-itp:d350d0ac395a41a62c4942e28e1ca1e7fbf6c23543bec06599795097b49ae812",
    input={
        "image": "https://replicate.delivery/pbxt/M65x6u7RptL8vxU5KSYZpkckkkkknvJT45BhJ5tN6ZgLzWWk/replicatetest.png",
        "scale": 0.5,
        "prompt": "A seamless pattern having Lotus and Daffodils"
    }
)

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

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

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

Run impetusdesign/rqi-txc-itp 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": "impetusdesign/rqi-txc-itp:d350d0ac395a41a62c4942e28e1ca1e7fbf6c23543bec06599795097b49ae812",
    "input": {
      "image": "https://replicate.delivery/pbxt/M65x6u7RptL8vxU5KSYZpkckkkkknvJT45BhJ5tN6ZgLzWWk/replicatetest.png",
      "scale": 0.5,
      "prompt": "A seamless pattern having Lotus and Daffodils"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-12-06T14:54:45.968366Z",
  "created_at": "2024-12-06T14:29:51.742000Z",
  "data_removed": false,
  "error": null,
  "id": "5mssvvm5zsrj60ckkhg88a549c",
  "input": {
    "image": "https://replicate.delivery/pbxt/M65x6u7RptL8vxU5KSYZpkckkkkknvJT45BhJ5tN6ZgLzWWk/replicatetest.png",
    "scale": 0.5,
    "prompt": "A seamless pattern having Lotus and Daffodils"
  },
  "logs": "INFO:predict:Processing input image: /tmp/tmpf8jubcaqreplicatetest.png\nINFO:predict:Using prompt: A seamless pattern having Lotus and Daffodils\nINFO:predict:Scale value: 0.5\nINFO:predict:Generating output image...\n  0%|          | 0/24 [00:00<?, ?it/s]\n  4%|▍         | 1/24 [00:00<00:13,  1.66it/s]\n  8%|▊         | 2/24 [00:01<00:11,  2.00it/s]\n 12%|█▎        | 3/24 [00:01<00:11,  1.86it/s]\n 17%|█▋        | 4/24 [00:02<00:11,  1.79it/s]\n 21%|██        | 5/24 [00:02<00:10,  1.76it/s]\n 25%|██▌       | 6/24 [00:03<00:10,  1.74it/s]\n 29%|██▉       | 7/24 [00:03<00:09,  1.73it/s]\n 33%|███▎      | 8/24 [00:04<00:09,  1.73it/s]\n 38%|███▊      | 9/24 [00:05<00:08,  1.72it/s]\n 42%|████▏     | 10/24 [00:05<00:08,  1.72it/s]\n 46%|████▌     | 11/24 [00:06<00:07,  1.71it/s]\n 50%|█████     | 12/24 [00:06<00:07,  1.71it/s]\n 54%|█████▍    | 13/24 [00:07<00:06,  1.71it/s]\n 58%|█████▊    | 14/24 [00:08<00:05,  1.71it/s]\n 62%|██████▎   | 15/24 [00:08<00:05,  1.71it/s]\n 67%|██████▋   | 16/24 [00:09<00:04,  1.71it/s]\n 71%|███████   | 17/24 [00:09<00:04,  1.71it/s]\n 75%|███████▌  | 18/24 [00:10<00:03,  1.71it/s]\n 79%|███████▉  | 19/24 [00:10<00:02,  1.71it/s]\n 83%|████████▎ | 20/24 [00:11<00:02,  1.71it/s]\n 88%|████████▊ | 21/24 [00:12<00:01,  1.70it/s]\n 92%|█████████▏| 22/24 [00:12<00:01,  1.70it/s]\n 96%|█████████▌| 23/24 [00:13<00:00,  1.70it/s]\n100%|██████████| 24/24 [00:13<00:00,  1.70it/s]\n100%|██████████| 24/24 [00:13<00:00,  1.72it/s]\nINFO:predict:Saving generated image to /tmp/output.png",
  "metrics": {
    "predict_time": 16.079534358,
    "total_time": 1494.226366
  },
  "output": "https://replicate.delivery/yhqm/D6dN7XE6rKqHLNxn5Azc7GO9LBfapEQ1F8tBr90Mmce1IM4TA/output.png",
  "started_at": "2024-12-06T14:54:29.888832Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/qoxq-xtthgnfv6s56o2lqrplkrcyeegzoxxnh6wrlxcdizqgb6dwaotwa",
    "get": "https://api.replicate.com/v1/predictions/5mssvvm5zsrj60ckkhg88a549c",
    "cancel": "https://api.replicate.com/v1/predictions/5mssvvm5zsrj60ckkhg88a549c/cancel"
  },
  "version": "d350d0ac395a41a62c4942e28e1ca1e7fbf6c23543bec06599795097b49ae812"
}

Generated in

16.1 seconds

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