Prediction

Model

fofr/controlnet-preprocessors:f6584ef7

54kd4flb5sdiepnoqgs7raf2wa

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

16.5s

Created

about 2 years ago

Webhook

–

Input

image: https://replicate.delivery/pbxt/JrCCMJ7WAdjQSIkZUQrUkOmyDeFhkRkgQgH1S3QvryX8Iypg/IMG_7845.jpeg
canny: true
content: true
face_detector: true
hed: true
midas: true
mlsd: true
open_pose: true
pidi: true
normal_bae: true
lineart: true
lineart_anime: true
sam: true
leres: true

{
  "canny": true,
  "content": true,
  "face_detector": true,
  "hed": true,
  "image": "https://replicate.delivery/pbxt/JrCCMJ7WAdjQSIkZUQrUkOmyDeFhkRkgQgH1S3QvryX8Iypg/IMG_7845.jpeg",
  "leres": true,
  "lineart": true,
  "lineart_anime": true,
  "midas": true,
  "mlsd": true,
  "normal_bae": true,
  "open_pose": true,
  "pidi": true,
  "sam": true
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_5Sk**********************************

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 fofr/controlnet-preprocessors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/controlnet-preprocessors:f6584ef76cf07a2014ffe1e9bdb1a5cfa714f031883ab43f8d4b05506625988e",
  {
    input: {
      canny: true,
      content: true,
      face_detector: true,
      hed: true,
      image: "https://replicate.delivery/pbxt/JrCCMJ7WAdjQSIkZUQrUkOmyDeFhkRkgQgH1S3QvryX8Iypg/IMG_7845.jpeg",
      leres: true,
      lineart: true,
      lineart_anime: true,
      midas: true,
      mlsd: true,
      normal_bae: true,
      open_pose: true,
      pidi: true,
      sam: true
    }
  }
);

// 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_5Sk**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run fofr/controlnet-preprocessors using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/controlnet-preprocessors:f6584ef76cf07a2014ffe1e9bdb1a5cfa714f031883ab43f8d4b05506625988e",
    input={
        "canny": True,
        "content": True,
        "face_detector": True,
        "hed": True,
        "image": "https://replicate.delivery/pbxt/JrCCMJ7WAdjQSIkZUQrUkOmyDeFhkRkgQgH1S3QvryX8Iypg/IMG_7845.jpeg",
        "leres": True,
        "lineart": True,
        "lineart_anime": True,
        "midas": True,
        "mlsd": True,
        "normal_bae": True,
        "open_pose": True,
        "pidi": True,
        "sam": True
    }
)

# 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_5Sk**********************************

This is your API token. Keep it to yourself.

Run fofr/controlnet-preprocessors 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": "fofr/controlnet-preprocessors:f6584ef76cf07a2014ffe1e9bdb1a5cfa714f031883ab43f8d4b05506625988e",
    "input": {
      "canny": true,
      "content": true,
      "face_detector": true,
      "hed": true,
      "image": "https://replicate.delivery/pbxt/JrCCMJ7WAdjQSIkZUQrUkOmyDeFhkRkgQgH1S3QvryX8Iypg/IMG_7845.jpeg",
      "leres": true,
      "lineart": true,
      "lineart_anime": true,
      "midas": true,
      "mlsd": true,
      "normal_bae": true,
      "open_pose": true,
      "pidi": true,
      "sam": true
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "54kd4flb5sdiepnoqgs7raf2wa",
  "model": "fofr/controlnet-preprocessors",
  "version": "f6584ef76cf07a2014ffe1e9bdb1a5cfa714f031883ab43f8d4b05506625988e",
  "input": {
    "canny": true,
    "content": true,
    "face_detector": true,
    "hed": true,
    "image": "https://replicate.delivery/pbxt/JrCCMJ7WAdjQSIkZUQrUkOmyDeFhkRkgQgH1S3QvryX8Iypg/IMG_7845.jpeg",
    "leres": true,
    "lineart": true,
    "lineart_anime": true,
    "midas": true,
    "mlsd": true,
    "normal_bae": true,
    "open_pose": true,
    "pidi": true,
    "sam": true
  },
  "logs": "Processing image with canny\nProcessing image with content\nProcessing image with face_detector\nE0000 00:00:1699685889.055007     259 gl_context.cc:408] INTERNAL: ; RET_CHECK failure (mediapipe/gpu/gl_context_egl.cc:303) successeglMakeCurrent() returned error 0x3008;  (entering GL context)\nE0000 00:00:1699685889.055045     259 gl_context.cc:408] INTERNAL: ; RET_CHECK failure (mediapipe/gpu/gl_context_egl.cc:303) successeglMakeCurrent() returned error 0x3008;  (entering GL context)\nE0000 00:00:1699685889.055053     259 gl_context.cc:408] INTERNAL: ; RET_CHECK failure (mediapipe/gpu/gl_context_egl.cc:303) successeglMakeCurrent() returned error 0x3008;  (entering GL context)\nProcessing image with hed\nProcessing image with midas\nProcessing image with mlsd\nProcessing image with open_pose\nProcessing image with pidi\nProcessing image with normal_bae\nProcessing image with lineart\nProcessing image with lineart_anime\nProcessing image with sam\nProcessing image with leres",
  "output": [
    "https://replicate.delivery/pbxt/uw93lneIWuUTMCo5rrKKTTDUAu6XbNImxkZ4hfuwZVMLgN3RA/canny.png",
    "https://replicate.delivery/pbxt/zs4XRbOlkxZeZaoZ52xnXe48s18KyBTVf4bfZRJhtfokBs5OC/content.png",
    "https://replicate.delivery/pbxt/QhUeh3vdAuU2H6ykifMReU14F6zm4IoeqRfOrCOfDTydDYzdE/face_detector.png",
    "https://replicate.delivery/pbxt/hwMZ86nAfbxWXKxAemdIOz6umijHKz7HTUXcVlqnuuuNgN3RA/hed.png",
    "https://replicate.delivery/pbxt/JyyRt4DuftzAbyghuqaRjSjhsaNqQF5fbdizkqAdaNQNgN3RA/midas.png",
    "https://replicate.delivery/pbxt/IpkTd18fexldvkpJWhYNJQZ5EnukEfIeukLTi1JfpE7wBs5OC/mlsd.png",
    "https://replicate.delivery/pbxt/T5HOBsOKHHqMNVTrLeOKci4jGfkyfeSsstGYVwgSglc5A2cHB/open_pose.png",
    "https://replicate.delivery/pbxt/hMP1a8Y41vIoHBDEtN02eE6gCT41LXXebtcJh108fwbcAbujA/pidi.png",
    "https://replicate.delivery/pbxt/2J93cnvbxxpdMhQbFLWUvsEZcSStPahCj3Ni73GkQhyDYzdE/normal_bae.png",
    "https://replicate.delivery/pbxt/lf9Y6I3bBPVRN6a6ffVKlvjqrcxBVoQZnckerKNfnVM9Bs5OC/lineart.png",
    "https://replicate.delivery/pbxt/dCeKSeaACpgEuUdemacT4S7YfEBxf44vBE1xsueeg61zHwm7IA/lineart_anime.png",
    "https://replicate.delivery/pbxt/fdBSo7qeUFodVU4IP6cnyPOEULcKogpk2DCCTkUZcZUQgN3RA/sam.png",
    "https://replicate.delivery/pbxt/Y5S0q7BS7zZ8OxOLTNQ67QBhFsPjiaOzuPRRPcAJoXIEYzdE/leres.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-11-11T06:58:08.625273Z",
  "started_at": "2023-11-11T06:58:08.600934Z",
  "completed_at": "2023-11-11T06:58:25.102627Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/54kd4flb5sdiepnoqgs7raf2wa/cancel",
    "get": "https://api.replicate.com/v1/predictions/54kd4flb5sdiepnoqgs7raf2wa"
  },
  "metrics": {
    "predict_time": 16.501693,
    "total_time": 16.477354
  }
}

Generated in

16.5 seconds

Tweak it Report