lqhl/realesrgan – Run with an API on Replicate

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=lqhl/realesrgan

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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
    }
  }
);
console.log(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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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": "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

Tweak itReport

Run time and cost

This model costs approximately $0.032 to run on Replicate, or 31 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 33 seconds. The predict time for this model varies significantly based on the inputs.

lqhl / realesrgan

Input

Output

Examples

Run time and cost

Readme

Logs (qa2c5kdbcucyt7dbtw22clyhxq)