Prediction

lqhl/realesrgan:56f2be05920413e1189c32a5fb2f767b357187c887d67114cace11c18d86ab49

Model

lqhl/realesrgan:56f2be05

qa2c5kdbcucyt7dbtw22clyhxq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

70.4s

Created

over 1 year ago

Input

img
tile: 0
scale: 2
version: General - RealESRGANplus
face_enhance

{
  "img": "https://replicate.delivery/pbxt/JeM4zZQu0BGlvPiOqu6BclFQLcr4uCsRBulTS5mMVDqZiAdC/e512564400014599b143497df8fca4aa.jpeg",
  "tile": 0,
  "scale": 2,
  "version": "General - RealESRGANplus",
  "face_enhance": true
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run lqhl/realesrgan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lqhl/realesrgan:56f2be05920413e1189c32a5fb2f767b357187c887d67114cace11c18d86ab49",
  {
    input: {
      img: "https://replicate.delivery/pbxt/JeM4zZQu0BGlvPiOqu6BclFQLcr4uCsRBulTS5mMVDqZiAdC/e512564400014599b143497df8fca4aa.jpeg",
      tile: 0,
      scale: 2,
      version: "General - RealESRGANplus",
      face_enhance: true
    }
  }
);

// 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 lqhl/realesrgan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lqhl/realesrgan:56f2be05920413e1189c32a5fb2f767b357187c887d67114cace11c18d86ab49",
    input={
        "img": "https://replicate.delivery/pbxt/JeM4zZQu0BGlvPiOqu6BclFQLcr4uCsRBulTS5mMVDqZiAdC/e512564400014599b143497df8fca4aa.jpeg",
        "tile": 0,
        "scale": 2,
        "version": "General - RealESRGANplus",
        "face_enhance": True
    }
)
print(output)

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

Run lqhl/realesrgan 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": "lqhl/realesrgan:56f2be05920413e1189c32a5fb2f767b357187c887d67114cace11c18d86ab49",
    "input": {
      "img": "https://replicate.delivery/pbxt/JeM4zZQu0BGlvPiOqu6BclFQLcr4uCsRBulTS5mMVDqZiAdC/e512564400014599b143497df8fca4aa.jpeg",
      "tile": 0,
      "scale": 2,
      "version": "General - RealESRGANplus",
      "face_enhance": true
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-10-06T02:47:00.650586Z",
  "created_at": "2023-10-06T02:45:50.218582Z",
  "data_removed": false,
  "error": null,
  "id": "qa2c5kdbcucyt7dbtw22clyhxq",
  "input": {
    "img": "https://replicate.delivery/pbxt/JeM4zZQu0BGlvPiOqu6BclFQLcr4uCsRBulTS5mMVDqZiAdC/e512564400014599b143497df8fca4aa.jpeg",
    "tile": 0,
    "scale": 2,
    "version": "General - RealESRGANplus",
    "face_enhance": true
  },
  "logs": "img: /tmp/tmpvb852ci6e512564400014599b143497df8fca4aa.jpeg. version: General - RealESRGANplus. scale: 2.0. face_enhance: True. tile: 0.\nDownloading: \"https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth\" to /src/gfpgan/weights/detection_Resnet50_Final.pth\n  0%|          | 0.00/104M [00:00<?, ?B/s]\n 26%|██▋       | 27.5M/104M [00:00<00:00, 288MB/s]\n 53%|█████▎    | 55.0M/104M [00:00<00:00, 228MB/s]\n 74%|███████▍  | 77.5M/104M [00:00<00:00, 221MB/s]\n 95%|█████████▍| 98.9M/104M [00:00<00:00, 215MB/s]\n100%|██████████| 104M/104M [00:00<00:00, 225MB/s]\nDownloading: \"https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth\" to /src/gfpgan/weights/parsing_parsenet.pth\n  0%|          | 0.00/81.4M [00:00<?, ?B/s]\n 16%|█▌        | 12.6M/81.4M [00:00<00:00, 132MB/s]\n 49%|████▉     | 39.7M/81.4M [00:00<00:00, 221MB/s]\n 80%|███████▉  | 64.8M/81.4M [00:00<00:00, 241MB/s]\n100%|██████████| 81.4M/81.4M [00:00<00:00, 249MB/s]\n/root/.pyenv/versions/3.8.18/lib/python3.8/site-packages/torch/nn/functional.py:3103: UserWarning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and now uses scale_factor directly, instead of relying on the computed output size. If you wish to restore the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.\nwarnings.warn(\"The default behavior for interpolate/upsample with float scale_factor changed \"",
  "metrics": {
    "predict_time": 12.467587,
    "total_time": 70.432004
  },
  "output": "https://pbxt.replicate.delivery/PIllGCXv2YKuHlshQfziTe1njFfxUk6cUkJOwTTKKf3MyJtGB/out.png",
  "started_at": "2023-10-06T02:46:48.182999Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/qa2c5kdbcucyt7dbtw22clyhxq",
    "cancel": "https://api.replicate.com/v1/predictions/qa2c5kdbcucyt7dbtw22clyhxq/cancel"
  },
  "version": "56f2be05920413e1189c32a5fb2f767b357187c887d67114cace11c18d86ab49"
}

Generated in

12.5 seconds

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