Input

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

npx create-replicate --model=wonjongg/stylecarigan

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";
import fs from "node:fs";

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

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

const output = await replicate.run(
  "wonjongg/stylecarigan:9f3f7680a746791fb05c52523883403b3cfa663ad87371db24760f255a2a0247",
  {
    input: {
      image: "https://replicate.delivery/mgxm/8e92af0c-4d58-4434-a1c3-dd26c3f23e6c/1.png",
      num_samples: 4,
      output_type: "png"
    }
  }
);

// 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

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

output = replicate.run(
    "wonjongg/stylecarigan:9f3f7680a746791fb05c52523883403b3cfa663ad87371db24760f255a2a0247",
    input={
        "image": "https://replicate.delivery/mgxm/8e92af0c-4d58-4434-a1c3-dd26c3f23e6c/1.png",
        "num_samples": 4,
        "output_type": "png"
    }
)

# 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.

Set the REPLICATE_API_TOKEN environment variable:

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

Find your API token in your account settings.

Run wonjongg/stylecarigan 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": "wonjongg/stylecarigan:9f3f7680a746791fb05c52523883403b3cfa663ad87371db24760f255a2a0247",
    "input": {
      "image": "https://replicate.delivery/mgxm/8e92af0c-4d58-4434-a1c3-dd26c3f23e6c/1.png",
      "num_samples": 4,
      "output_type": "png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2021-09-26T12:54:10.229799Z",
  "created_at": "2021-09-26T12:44:58.272598Z",
  "data_removed": false,
  "error": null,
  "id": "ps3d2cbfzjav7hzsoyzapach5y",
  "input": {
    "image": "https://replicate.delivery/mgxm/8e92af0c-4d58-4434-a1c3-dd26c3f23e6c/1.png",
    "num_samples": "4",
    "output_type": "png"
  },
  "logs": "optimizing w\n\n  0%|          | 0/250 [00:00<?, ?it/s]\n\noptimizing w: loss_pixel: 0.7934; loss_feature: 3.7670:   0%|          | 0/250 [00:00<?, ?it/s]\n\noptimizing w: loss_pixel: 0.7934; loss_feature: 3.7670:   0%|          | 1/250 [00:00<00:53,  4.68it/s]\n\noptimizing w: loss_pixel: 0.7682; loss_feature: 3.8448:   0%|          | 1/250 [00:00<00:53,  4.68it/s]\n\noptimizing w: loss_pixel: 0.7682; loss_feature: 3.8448:   1%|          | 2/250 [00:00<00:42,  5.87it/s]\n\noptimizing w: loss_pixel: 1.0069; loss_feature: 3.9013:   1%|          | 2/250 [00:00<00:42,  5.87it/s]\n\noptimizing w: loss_pixel: 1.0069; loss_feature: 3.9013:   1%|1         | 3/250 [00:00<00:38,  6.43it/s]\n\noptimizing w: loss_pixel: 0.7602; loss_feature: 3.8232:   1%|1         | 3/250 [00:00<00:38,  6.43it/s]\n\noptimizing w: loss_pixel: 0.7602; loss_feature: 3.8232:   2%|1         | 4/250 [00:00<00:36,  6.77it/s]\n\noptimizing w: loss_pixel: 0.9116; loss_feature: 3.6387:   2%|1         | 4/250 [00:00<00:36,  6.77it/s]\n\noptimizing w: loss_pixel: 0.9116; loss_feature: 3.6387:   2%|2         | 5/250 [00:00<00:35,  6.98it/s]\n\noptimizing w: loss_pixel: 0.9202; loss_feature: 3.6004:   2%|2         | 5/250 [00:00<00:35,  6.98it/s]\n\noptimizing w: loss_pixel: 0.9202; loss_feature: 3.6004:   2%|2         | 6/250 [00:00<00:34,  7.12it/s]\n\noptimizing w: loss_pixel: 0.6813; loss_feature: 3.8083:   2%|2         | 6/250 [00:00<00:34,  7.12it/s]\n\noptimizing w: loss_pixel: 0.6813; loss_feature: 3.8083:   3%|2         | 7/250 [00:00<00:33,  7.22it/s]\n\noptimizing w: loss_pixel: 0.6189; loss_feature: 3.8143:   3%|2         | 7/250 [00:01<00:33,  7.22it/s]\n\noptimizing w: loss_pixel: 0.6189; loss_feature: 3.8143:   3%|3         | 8/250 [00:01<00:33,  7.30it/s]\n\noptimizing w: loss_pixel: 0.9602; loss_feature: 3.8682:   3%|3         | 8/250 [00:01<00:33,  7.30it/s]\n\noptimizing w: loss_pixel: 0.9602; loss_feature: 3.8682:   4%|3         | 9/250 [00:01<00:32,  7.37it/s]\n\noptimizing w: loss_pixel: 1.1020; loss_feature: 3.7113:   4%|3         | 9/250 [00:01<00:32,  7.37it/s]\n\noptimizing w: loss_pixel: 1.1020; loss_feature: 3.7113:   4%|4         | 10/250 [00:01<00:32,  7.42it/s]\n\noptimizing w: loss_pixel: 0.7938; loss_feature: 3.7588:   4%|4         | 10/250 [00:01<00:32,  7.42it/s]\n\noptimizing w: loss_pixel: 0.7938; loss_feature: 3.7588:   4%|4         | 11/250 [00:01<00:31,  7.47it/s]\n\noptimizing w: loss_pixel: 0.9697; loss_feature: 3.7959:   4%|4         | 11/250 [00:01<00:31,  7.47it/s]\n\noptimizing w: loss_pixel: 0.9697; loss_feature: 3.7959:   5%|4         | 12/250 [00:01<00:31,  7.51it/s]\n\noptimizing w: loss_pixel: 1.0211; loss_feature: 3.5163:   5%|4         | 12/250 [00:01<00:31,  7.51it/s]\n\noptimizing w: loss_pixel: 1.0211; loss_feature: 3.5163:   5%|5         | 13/250 [00:01<00:31,  7.54it/s]\n\noptimizing w: loss_pixel: 0.5411; loss_feature: 3.6139:   5%|5         | 13/250 [00:01<00:31,  7.54it/s]\n\noptimizing w: loss_pixel: 0.5411; loss_feature: 3.6139:   6%|5         | 14/250 [00:01<00:31,  7.57it/s]\n\noptimizing w: loss_pixel: 0.8036; loss_feature: 3.7163:   6%|5         | 14/250 [00:01<00:31,  7.57it/s]\n\noptimizing w: loss_pixel: 0.8036; loss_feature: 3.7163:   6%|6         | 15/250 [00:01<00:31,  7.58it/s]\n\noptimizing w: loss_pixel: 0.6267; loss_feature: 3.5681:   6%|6         | 15/250 [00:02<00:31,  7.58it/s]\n\noptimizing w: loss_pixel: 0.6267; loss_feature: 3.5681:   6%|6         | 16/250 [00:02<00:30,  7.61it/s]\n\noptimizing w: loss_pixel: 0.8688; loss_feature: 3.7778:   6%|6         | 16/250 [00:02<00:30,  7.61it/s]\n\noptimizing w: loss_pixel: 0.8688; loss_feature: 3.7778:   7%|6         | 17/250 [00:02<00:30,  7.62it/s]\n\noptimizing w: loss_pixel: 1.1054; loss_feature: 3.6137:   7%|6         | 17/250 [00:02<00:30,  7.62it/s]\n\noptimizing w: loss_pixel: 1.1054; loss_feature: 3.6137:   7%|7         | 18/250 [00:02<00:30,  7.65it/s]\n\noptimizing w: loss_pixel: 1.0096; loss_feature: 3.8853:   7%|7         | 18/250 [00:02<00:30,  7.65it/s]\n\noptimizing w: loss_pixel: 1.0096; loss_feature: 3.8853:   8%|7         | 19/250 [00:02<00:30,  7.66it/s]\n\noptimizing w: loss_pixel: 0.9426; loss_feature: 3.2381:   8%|7         | 19/250 [00:02<00:30,  7.66it/s]\n\noptimizing w: loss_pixel: 0.9426; loss_feature: 3.2381:   8%|8         | 20/250 [00:02<00:29,  7.67it/s]\n\noptimizing w: loss_pixel: 0.7127; loss_feature: 3.4304:   8%|8         | 20/250 [00:02<00:29,  7.67it/s]\n\noptimizing w: loss_pixel: 0.7127; loss_feature: 3.4304:   8%|8         | 21/250 [00:02<00:29,  7.69it/s]\n\noptimizing w: loss_pixel: 0.8944; loss_feature: 4.2830:   8%|8         | 21/250 [00:02<00:29,  7.69it/s]\n\noptimizing w: loss_pixel: 0.8944; loss_feature: 4.2830:   9%|8         | 22/250 [00:02<00:29,  7.70it/s]\n\noptimizing w: loss_pixel: 0.8506; loss_feature: 4.0462:   9%|8         | 22/250 [00:02<00:29,  7.70it/s]\n\noptimizing w: loss_pixel: 0.8506; loss_feature: 4.0462:   9%|9         | 23/250 [00:02<00:29,  7.71it/s]\n\noptimizing w: loss_pixel: 0.5493; loss_feature: 3.1136:   9%|9         | 23/250 [00:03<00:29,  7.71it/s]\n\noptimizing w: loss_pixel: 0.5493; loss_feature: 3.1136:  10%|9         | 24/250 [00:03<00:29,  7.72it/s]\n\noptimizing w: loss_pixel: 0.7558; loss_feature: 3.5572:  10%|9         | 24/250 [00:03<00:29,  7.72it/s]\n\noptimizing w: loss_pixel: 0.7558; loss_feature: 3.5572:  10%|#         | 25/250 [00:03<00:29,  7.73it/s]\n\noptimizing w: loss_pixel: 0.5158; loss_feature: 3.2488:  10%|#         | 25/250 [00:03<00:29,  7.73it/s]\n\noptimizing w: loss_pixel: 0.5158; loss_feature: 3.2488:  10%|#         | 26/250 [00:03<00:28,  7.74it/s]\n\noptimizing w: loss_pixel: 0.9461; loss_feature: 3.6123:  10%|#         | 26/250 [00:03<00:28,  7.74it/s]\n\noptimizing w: loss_pixel: 0.9461; loss_feature: 3.6123:  11%|#         | 27/250 [00:03<00:28,  7.75it/s]\n\noptimizing w: loss_pixel: 0.5718; loss_feature: 3.7637:  11%|#         | 27/250 [00:03<00:28,  7.75it/s]\n\noptimizing w: loss_pixel: 0.5718; loss_feature: 3.7637:  11%|#1        | 28/250 [00:03<00:28,  7.75it/s]\n\noptimizing w: loss_pixel: 0.5177; loss_feature: 3.4541:  11%|#1        | 28/250 [00:03<00:28,  7.75it/s]\n\noptimizing w: loss_pixel: 0.5177; loss_feature: 3.4541:  12%|#1        | 29/250 [00:03<00:28,  7.76it/s]\n\noptimizing w: loss_pixel: 0.8081; loss_feature: 3.3848:  12%|#1        | 29/250 [00:03<00:28,  7.76it/s]\n\noptimizing w: loss_pixel: 0.8081; loss_feature: 3.3848:  12%|#2        | 30/250 [00:03<00:28,  7.77it/s]\n\noptimizing w: loss_pixel: 0.7924; loss_feature: 3.5537:  12%|#2        | 30/250 [00:03<00:28,  7.77it/s]\n\noptimizing w: loss_pixel: 0.7924; loss_feature: 3.5537:  12%|#2        | 31/250 [00:04<00:28,  7.77it/s]\n\noptimizing w: loss_pixel: 0.7984; loss_feature: 3.5193:  12%|#2        | 31/250 [00:04<00:28,  7.77it/s]\n\noptimizing w: loss_pixel: 0.7984; loss_feature: 3.5193:  13%|#2        | 32/250 [00:04<00:28,  7.78it/s]\n\noptimizing w: loss_pixel: 0.7183; loss_feature: 4.0197:  13%|#2        | 32/250 [00:04<00:28,  7.78it/s]\n\noptimizing w: loss_pixel: 0.7183; loss_feature: 4.0197:  13%|#3        | 33/250 [00:04<00:27,  7.78it/s]\n\noptimizing w: loss_pixel: 0.7144; loss_feature: 3.6309:  13%|#3        | 33/250 [00:04<00:27,  7.78it/s]\n\noptimizing w: loss_pixel: 0.7144; loss_feature: 3.6309:  14%|#3        | 34/250 [00:04<00:27,  7.79it/s]\n\noptimizing w: loss_pixel: 0.6366; loss_feature: 3.5392:  14%|#3        | 34/250 [00:04<00:27,  7.79it/s]\n\noptimizing w: loss_pixel: 0.6366; loss_feature: 3.5392:  14%|#4        | 35/250 [00:04<00:27,  7.79it/s]\n\noptimizing w: loss_pixel: 0.6279; loss_feature: 3.3970:  14%|#4        | 35/250 [00:04<00:27,  7.79it/s]\n\noptimizing w: loss_pixel: 0.6279; loss_feature: 3.3970:  14%|#4        | 36/250 [00:04<00:27,  7.80it/s]\n\noptimizing w: loss_pixel: 0.9659; loss_feature: 3.8157:  14%|#4        | 36/250 [00:04<00:27,  7.80it/s]\n\noptimizing w: loss_pixel: 0.9659; loss_feature: 3.8157:  15%|#4        | 37/250 [00:04<00:27,  7.80it/s]\n\noptimizing w: loss_pixel: 0.6543; loss_feature: 4.1070:  15%|#4        | 37/250 [00:04<00:27,  7.80it/s]\n\noptimizing w: loss_pixel: 0.6543; loss_feature: 4.1070:  15%|#5        | 38/250 [00:04<00:27,  7.80it/s]\n\noptimizing w: loss_pixel: 0.6525; loss_feature: 3.2327:  15%|#5        | 38/250 [00:05<00:27,  7.80it/s]\n\noptimizing w: loss_pixel: 0.6525; loss_feature: 3.2327:  16%|#5        | 39/250 [00:05<00:27,  7.81it/s]\n\noptimizing w: loss_pixel: 0.4358; loss_feature: 3.4120:  16%|#5        | 39/250 [00:05<00:27,  7.81it/s]\n\noptimizing w: loss_pixel: 0.4358; loss_feature: 3.4120:  16%|#6        | 40/250 [00:05<00:26,  7.81it/s]\n\noptimizing w: loss_pixel: 0.6302; loss_feature: 3.4205:  16%|#6        | 40/250 [00:05<00:26,  7.81it/s]\n\noptimizing w: loss_pixel: 0.6302; loss_feature: 3.4205:  16%|#6        | 41/250 [00:05<00:26,  7.81it/s]\n\noptimizing w: loss_pixel: 0.6348; loss_feature: 3.8842:  16%|#6        | 41/250 [00:05<00:26,  7.81it/s]\n\noptimizing w: loss_pixel: 0.6348; loss_feature: 3.8842:  17%|#6        | 42/250 [00:05<00:26,  7.82it/s]\n\noptimizing w: loss_pixel: 0.8909; loss_feature: 3.7292:  17%|#6        | 42/250 [00:05<00:26,  7.82it/s]\n\noptimizing w: loss_pixel: 0.8909; loss_feature: 3.7292:  17%|#7        | 43/250 [00:05<00:26,  7.82it/s]\n\noptimizing w: loss_pixel: 0.8520; loss_feature: 3.7243:  17%|#7        | 43/250 [00:05<00:26,  7.82it/s]\n\noptimizing w: loss_pixel: 0.8520; loss_feature: 3.7243:  18%|#7        | 44/250 [00:05<00:26,  7.82it/s]\n\noptimizing w: loss_pixel: 0.7912; loss_feature: 3.4142:  18%|#7        | 44/250 [00:05<00:26,  7.82it/s]\n\noptimizing w: loss_pixel: 0.7912; loss_feature: 3.4142:  18%|#8        | 45/250 [00:05<00:26,  7.82it/s]\n\noptimizing w: loss_pixel: 0.5287; loss_feature: 3.1141:  18%|#8        | 45/250 [00:05<00:26,  7.82it/s]\n\noptimizing w: loss_pixel: 0.5287; loss_feature: 3.1141:  18%|#8        | 46/250 [00:05<00:26,  7.83it/s]\n\noptimizing w: loss_pixel: 0.6788; loss_feature: 3.2908:  18%|#8        | 46/250 [00:06<00:26,  7.83it/s]\n\noptimizing w: loss_pixel: 0.6788; loss_feature: 3.2908:  19%|#8        | 47/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.7171; loss_feature: 3.6832:  19%|#8        | 47/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.7171; loss_feature: 3.6832:  19%|#9        | 48/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.5245; loss_feature: 3.5418:  19%|#9        | 48/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.5245; loss_feature: 3.5418:  20%|#9        | 49/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.7942; loss_feature: 3.4814:  20%|#9        | 49/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.7942; loss_feature: 3.4814:  20%|##        | 50/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.6157; loss_feature: 3.2146:  20%|##        | 50/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.6157; loss_feature: 3.2146:  20%|##        | 51/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.7912; loss_feature: 3.6059:  20%|##        | 51/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.7912; loss_feature: 3.6059:  21%|##        | 52/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.8262; loss_feature: 3.4572:  21%|##        | 52/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.8262; loss_feature: 3.4572:  21%|##1       | 53/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.6424; loss_feature: 3.1776:  21%|##1       | 53/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.6424; loss_feature: 3.1776:  22%|##1       | 54/250 [00:06<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.8700; loss_feature: 3.3984:  22%|##1       | 54/250 [00:07<00:25,  7.83it/s]\n\noptimizing w: loss_pixel: 0.8700; 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loss_feature: 3.0727:  52%|#####2    | 130/250 [00:16<00:15,  7.87it/s]\n\noptimizing w: loss_pixel: 0.5236; loss_feature: 3.2125:  52%|#####2    | 130/250 [00:16<00:15,  7.87it/s]\n\noptimizing w: loss_pixel: 0.5236; loss_feature: 3.2125:  52%|#####2    | 131/250 [00:16<00:15,  7.87it/s]\n\noptimizing w: loss_pixel: 0.5440; loss_feature: 3.1253:  52%|#####2    | 131/250 [00:16<00:15,  7.87it/s]\n\noptimizing w: loss_pixel: 0.5440; loss_feature: 3.1253:  53%|#####2    | 132/250 [00:16<00:14,  7.87it/s]",
  "metrics": {},
  "output": [
    {
      "file": "https://replicate.delivery/mgxm/064978a7-5bcc-46aa-9de3-8580728caf91/out.png"
    }
  ],
  "started_at": null,
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ps3d2cbfzjav7hzsoyzapach5y",
    "cancel": "https://api.replicate.com/v1/predictions/ps3d2cbfzjav7hzsoyzapach5y/cancel"
  },
  "version": "8b4fe8700fec5276c69205e70cfc3dd49d0c62a409ea8d221c1631937b5186b7"
}

Tweak itReport View full prediction

optimizing w

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optimizing w: loss_pixel: 0.7934; loss_feature: 3.7670:   0%|          | 0/250 [00:00<?, ?it/s]

optimizing w: loss_pixel: 0.7934; loss_feature: 3.7670:   0%|          | 1/250 [00:00<00:53,  4.68it/s]

optimizing w: loss_pixel: 0.7682; loss_feature: 3.8448:   0%|          | 1/250 [00:00<00:53,  4.68it/s]

optimizing w: loss_pixel: 0.7682; loss_feature: 3.8448:   1%|          | 2/250 [00:00<00:42,  5.87it/s]

optimizing w: loss_pixel: 1.0069; loss_feature: 3.9013:   1%|          | 2/250 [00:00<00:42,  5.87it/s]

optimizing w: loss_pixel: 1.0069; loss_feature: 3.9013:   1%|1         | 3/250 [00:00<00:38,  6.43it/s]

optimizing w: loss_pixel: 0.7602; loss_feature: 3.8232:   1%|1         | 3/250 [00:00<00:38,  6.43it/s]

optimizing w: loss_pixel: 0.7602; loss_feature: 3.8232:   2%|1         | 4/250 [00:00<00:36,  6.77it/s]

optimizing w: loss_pixel: 0.9116; loss_feature: 3.6387:   2%|1         | 4/250 [00:00<00:36,  6.77it/s]

optimizing w: loss_pixel: 0.9116; loss_feature: 3.6387:   2%|2         | 5/250 [00:00<00:35,  6.98it/s]

optimizing w: loss_pixel: 0.9202; loss_feature: 3.6004:   2%|2         | 5/250 [00:00<00:35,  6.98it/s]

optimizing w: loss_pixel: 0.9202; loss_feature: 3.6004:   2%|2         | 6/250 [00:00<00:34,  7.12it/s]

optimizing w: loss_pixel: 0.6813; loss_feature: 3.8083:   2%|2         | 6/250 [00:00<00:34,  7.12it/s]

optimizing w: loss_pixel: 0.6813; loss_feature: 3.8083:   3%|2         | 7/250 [00:00<00:33,  7.22it/s]

optimizing w: loss_pixel: 0.6189; loss_feature: 3.8143:   3%|2         | 7/250 [00:01<00:33,  7.22it/s]

optimizing w: loss_pixel: 0.6189; loss_feature: 3.8143:   3%|3         | 8/250 [00:01<00:33,  7.30it/s]

optimizing w: loss_pixel: 0.9602; loss_feature: 3.8682:   3%|3         | 8/250 [00:01<00:33,  7.30it/s]

optimizing w: loss_pixel: 0.9602; loss_feature: 3.8682:   4%|3         | 9/250 [00:01<00:32,  7.37it/s]

optimizing w: loss_pixel: 1.1020; loss_feature: 3.7113:   4%|3         | 9/250 [00:01<00:32,  7.37it/s]

optimizing w: loss_pixel: 1.1020; loss_feature: 3.7113:   4%|4         | 10/250 [00:01<00:32,  7.42it/s]

optimizing w: loss_pixel: 0.7938; loss_feature: 3.7588:   4%|4         | 10/250 [00:01<00:32,  7.42it/s]

optimizing w: loss_pixel: 0.7938; loss_feature: 3.7588:   4%|4         | 11/250 [00:01<00:31,  7.47it/s]

optimizing w: loss_pixel: 0.9697; loss_feature: 3.7959:   4%|4         | 11/250 [00:01<00:31,  7.47it/s]

optimizing w: loss_pixel: 0.9697; loss_feature: 3.7959:   5%|4         | 12/250 [00:01<00:31,  7.51it/s]

optimizing w: loss_pixel: 1.0211; loss_feature: 3.5163:   5%|4         | 12/250 [00:01<00:31,  7.51it/s]

optimizing w: loss_pixel: 1.0211; loss_feature: 3.5163:   5%|5         | 13/250 [00:01<00:31,  7.54it/s]

optimizing w: loss_pixel: 0.5411; loss_feature: 3.6139:   5%|5         | 13/250 [00:01<00:31,  7.54it/s]

optimizing w: loss_pixel: 0.5411; loss_feature: 3.6139:   6%|5         | 14/250 [00:01<00:31,  7.57it/s]

optimizing w: loss_pixel: 0.8036; loss_feature: 3.7163:   6%|5         | 14/250 [00:01<00:31,  7.57it/s]

optimizing w: loss_pixel: 0.8036; loss_feature: 3.7163:   6%|6         | 15/250 [00:01<00:31,  7.58it/s]

optimizing w: loss_pixel: 0.6267; loss_feature: 3.5681:   6%|6         | 15/250 [00:02<00:31,  7.58it/s]

optimizing w: loss_pixel: 0.6267; loss_feature: 3.5681:   6%|6         | 16/250 [00:02<00:30,  7.61it/s]

optimizing w: loss_pixel: 0.8688; loss_feature: 3.7778:   6%|6         | 16/250 [00:02<00:30,  7.61it/s]

optimizing w: loss_pixel: 0.8688; loss_feature: 3.7778:   7%|6         | 17/250 [00:02<00:30,  7.62it/s]

optimizing w: loss_pixel: 1.1054; loss_feature: 3.6137:   7%|6         | 17/250 [00:02<00:30,  7.62it/s]

optimizing w: loss_pixel: 1.1054; loss_feature: 3.6137:   7%|7         | 18/250 [00:02<00:30,  7.65it/s]

optimizing w: loss_pixel: 1.0096; loss_feature: 3.8853:   7%|7         | 18/250 [00:02<00:30,  7.65it/s]

optimizing w: loss_pixel: 1.0096; loss_feature: 3.8853:   8%|7         | 19/250 [00:02<00:30,  7.66it/s]

optimizing w: loss_pixel: 0.9426; loss_feature: 3.2381:   8%|7         | 19/250 [00:02<00:30,  7.66it/s]

optimizing w: loss_pixel: 0.9426; loss_feature: 3.2381:   8%|8         | 20/250 [00:02<00:29,  7.67it/s]

optimizing w: loss_pixel: 0.7127; loss_feature: 3.4304:   8%|8         | 20/250 [00:02<00:29,  7.67it/s]

optimizing w: loss_pixel: 0.7127; loss_feature: 3.4304:   8%|8         | 21/250 [00:02<00:29,  7.69it/s]

optimizing w: loss_pixel: 0.8944; loss_feature: 4.2830:   8%|8         | 21/250 [00:02<00:29,  7.69it/s]

optimizing w: loss_pixel: 0.8944; loss_feature: 4.2830:   9%|8         | 22/250 [00:02<00:29,  7.70it/s]

optimizing w: loss_pixel: 0.8506; loss_feature: 4.0462:   9%|8         | 22/250 [00:02<00:29,  7.70it/s]

optimizing w: loss_pixel: 0.8506; loss_feature: 4.0462:   9%|9         | 23/250 [00:02<00:29,  7.71it/s]

optimizing w: loss_pixel: 0.5493; loss_feature: 3.1136:   9%|9         | 23/250 [00:03<00:29,  7.71it/s]

optimizing w: loss_pixel: 0.5493; loss_feature: 3.1136:  10%|9         | 24/250 [00:03<00:29,  7.72it/s]

optimizing w: loss_pixel: 0.7558; loss_feature: 3.5572:  10%|9         | 24/250 [00:03<00:29,  7.72it/s]

optimizing w: loss_pixel: 0.7558; loss_feature: 3.5572:  10%|#         | 25/250 [00:03<00:29,  7.73it/s]

optimizing w: loss_pixel: 0.5158; loss_feature: 3.2488:  10%|#         | 25/250 [00:03<00:29,  7.73it/s]

optimizing w: loss_pixel: 0.5158; loss_feature: 3.2488:  10%|#         | 26/250 [00:03<00:28,  7.74it/s]

optimizing w: loss_pixel: 0.9461; loss_feature: 3.6123:  10%|#         | 26/250 [00:03<00:28,  7.74it/s]

optimizing w: loss_pixel: 0.9461; loss_feature: 3.6123:  11%|#         | 27/250 [00:03<00:28,  7.75it/s]

optimizing w: loss_pixel: 0.5718; loss_feature: 3.7637:  11%|#         | 27/250 [00:03<00:28,  7.75it/s]

optimizing w: loss_pixel: 0.5718; loss_feature: 3.7637:  11%|#1        | 28/250 [00:03<00:28,  7.75it/s]

optimizing w: loss_pixel: 0.5177; loss_feature: 3.4541:  11%|#1        | 28/250 [00:03<00:28,  7.75it/s]

optimizing w: loss_pixel: 0.5177; loss_feature: 3.4541:  12%|#1        | 29/250 [00:03<00:28,  7.76it/s]

optimizing w: loss_pixel: 0.8081; loss_feature: 3.3848:  12%|#1        | 29/250 [00:03<00:28,  7.76it/s]

optimizing w: loss_pixel: 0.8081; loss_feature: 3.3848:  12%|#2        | 30/250 [00:03<00:28,  7.77it/s]

optimizing w: loss_pixel: 0.7924; loss_feature: 3.5537:  12%|#2        | 30/250 [00:03<00:28,  7.77it/s]

optimizing w: loss_pixel: 0.7924; loss_feature: 3.5537:  12%|#2        | 31/250 [00:04<00:28,  7.77it/s]

optimizing w: loss_pixel: 0.7984; loss_feature: 3.5193:  12%|#2        | 31/250 [00:04<00:28,  7.77it/s]

optimizing w: loss_pixel: 0.7984; loss_feature: 3.5193:  13%|#2        | 32/250 [00:04<00:28,  7.78it/s]

optimizing w: loss_pixel: 0.7183; loss_feature: 4.0197:  13%|#2        | 32/250 [00:04<00:28,  7.78it/s]

optimizing w: loss_pixel: 0.7183; loss_feature: 4.0197:  13%|#3        | 33/250 [00:04<00:27,  7.78it/s]

optimizing w: loss_pixel: 0.7144; loss_feature: 3.6309:  13%|#3        | 33/250 [00:04<00:27,  7.78it/s]

optimizing w: loss_pixel: 0.7144; loss_feature: 3.6309:  14%|#3        | 34/250 [00:04<00:27,  7.79it/s]

optimizing w: loss_pixel: 0.6366; loss_feature: 3.5392:  14%|#3        | 34/250 [00:04<00:27,  7.79it/s]

optimizing w: loss_pixel: 0.6366; loss_feature: 3.5392:  14%|#4        | 35/250 [00:04<00:27,  7.79it/s]

optimizing w: loss_pixel: 0.6279; loss_feature: 3.3970:  14%|#4        | 35/250 [00:04<00:27,  7.79it/s]

optimizing w: loss_pixel: 0.6279; loss_feature: 3.3970:  14%|#4        | 36/250 [00:04<00:27,  7.80it/s]

optimizing w: loss_pixel: 0.9659; loss_feature: 3.8157:  14%|#4        | 36/250 [00:04<00:27,  7.80it/s]

optimizing w: loss_pixel: 0.9659; loss_feature: 3.8157:  15%|#4        | 37/250 [00:04<00:27,  7.80it/s]

optimizing w: loss_pixel: 0.6543; loss_feature: 4.1070:  15%|#4        | 37/250 [00:04<00:27,  7.80it/s]

optimizing w: loss_pixel: 0.6543; loss_feature: 4.1070:  15%|#5        | 38/250 [00:04<00:27,  7.80it/s]

optimizing w: loss_pixel: 0.6525; loss_feature: 3.2327:  15%|#5        | 38/250 [00:05<00:27,  7.80it/s]

optimizing w: loss_pixel: 0.6525; loss_feature: 3.2327:  16%|#5        | 39/250 [00:05<00:27,  7.81it/s]

optimizing w: loss_pixel: 0.4358; loss_feature: 3.4120:  16%|#5        | 39/250 [00:05<00:27,  7.81it/s]

optimizing w: loss_pixel: 0.4358; loss_feature: 3.4120:  16%|#6        | 40/250 [00:05<00:26,  7.81it/s]

optimizing w: loss_pixel: 0.6302; loss_feature: 3.4205:  16%|#6        | 40/250 [00:05<00:26,  7.81it/s]

optimizing w: loss_pixel: 0.6302; loss_feature: 3.4205:  16%|#6        | 41/250 [00:05<00:26,  7.81it/s]

optimizing w: loss_pixel: 0.6348; loss_feature: 3.8842:  16%|#6        | 41/250 [00:05<00:26,  7.81it/s]

optimizing w: loss_pixel: 0.6348; loss_feature: 3.8842:  17%|#6        | 42/250 [00:05<00:26,  7.82it/s]

optimizing w: loss_pixel: 0.8909; loss_feature: 3.7292:  17%|#6        | 42/250 [00:05<00:26,  7.82it/s]

optimizing w: loss_pixel: 0.8909; loss_feature: 3.7292:  17%|#7        | 43/250 [00:05<00:26,  7.82it/s]

optimizing w: loss_pixel: 0.8520; loss_feature: 3.7243:  17%|#7        | 43/250 [00:05<00:26,  7.82it/s]

optimizing w: loss_pixel: 0.8520; loss_feature: 3.7243:  18%|#7        | 44/250 [00:05<00:26,  7.82it/s]

optimizing w: loss_pixel: 0.7912; loss_feature: 3.4142:  18%|#7        | 44/250 [00:05<00:26,  7.82it/s]

optimizing w: loss_pixel: 0.7912; loss_feature: 3.4142:  18%|#8        | 45/250 [00:05<00:26,  7.82it/s]

optimizing w: loss_pixel: 0.5287; loss_feature: 3.1141:  18%|#8        | 45/250 [00:05<00:26,  7.82it/s]

optimizing w: loss_pixel: 0.5287; loss_feature: 3.1141:  18%|#8        | 46/250 [00:05<00:26,  7.83it/s]

optimizing w: loss_pixel: 0.6788; loss_feature: 3.2908:  18%|#8        | 46/250 [00:06<00:26,  7.83it/s]

optimizing w: loss_pixel: 0.6788; loss_feature: 3.2908:  19%|#8        | 47/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.7171; loss_feature: 3.6832:  19%|#8        | 47/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.7171; loss_feature: 3.6832:  19%|#9        | 48/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.5245; loss_feature: 3.5418:  19%|#9        | 48/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.5245; loss_feature: 3.5418:  20%|#9        | 49/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.7942; loss_feature: 3.4814:  20%|#9        | 49/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.7942; loss_feature: 3.4814:  20%|##        | 50/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.6157; loss_feature: 3.2146:  20%|##        | 50/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.6157; loss_feature: 3.2146:  20%|##        | 51/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.7912; loss_feature: 3.6059:  20%|##        | 51/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.7912; loss_feature: 3.6059:  21%|##        | 52/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.8262; loss_feature: 3.4572:  21%|##        | 52/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.8262; loss_feature: 3.4572:  21%|##1       | 53/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.6424; loss_feature: 3.1776:  21%|##1       | 53/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.6424; loss_feature: 3.1776:  22%|##1       | 54/250 [00:06<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.8700; loss_feature: 3.3984:  22%|##1       | 54/250 [00:07<00:25,  7.83it/s]

optimizing w: loss_pixel: 0.8700; loss_feature: 3.3984:  22%|##2       | 55/250 [00:07<00:24,  7.83it/s]

optimizing w: loss_pixel: 0.9091; loss_feature: 3.2255:  22%|##2       | 55/250 [00:07<00:24,  7.83it/s]

optimizing w: loss_pixel: 0.9091; loss_feature: 3.2255:  22%|##2       | 56/250 [00:07<00:24,  7.84it/s]

optimizing w: loss_pixel: 0.8466; loss_feature: 3.2150:  22%|##2       | 56/250 [00:07<00:24,  7.84it/s]

optimizing w: loss_pixel: 0.8466; loss_feature: 3.2150:  23%|##2       | 57/250 [00:07<00:24,  7.84it/s]

optimizing w: loss_pixel: 0.6869; loss_feature: 3.2345:  23%|##2       | 57/250 [00:07<00:24,  7.84it/s]

optimizing w: loss_pixel: 0.6869; loss_feature: 3.2345:  23%|##3       | 58/250 [00:07<00:24,  7.84it/s]

optimizing w: loss_pixel: 0.8698; loss_feature: 3.3638:  23%|##3       | 58/250 [00:07<00:24,  7.84it/s]

optimizing w: loss_pixel: 0.8698; loss_feature: 3.3638:  24%|##3       | 59/250 [00:07<00:24,  7.84it/s]

optimizing w: loss_pixel: 0.6262; loss_feature: 3.3919:  24%|##3       | 59/250 [00:07<00:24,  7.84it/s]

optimizing w: loss_pixel: 0.6262; loss_feature: 3.3919:  24%|##4       | 60/250 [00:07<00:24,  7.84it/s]

optimizing w: loss_pixel: 0.5899; loss_feature: 3.5870:  24%|##4       | 60/250 [00:07<00:24,  7.84it/s]

optimizing w: loss_pixel: 0.5899; loss_feature: 3.5870:  24%|##4       | 61/250 [00:07<00:24,  7.85it/s]

optimizing w: loss_pixel: 0.7473; loss_feature: 3.3323:  24%|##4       | 61/250 [00:07<00:24,  7.85it/s]

optimizing w: loss_pixel: 0.7473; loss_feature: 3.3323:  25%|##4       | 62/250 [00:07<00:23,  7.85it/s]

optimizing w: loss_pixel: 0.6754; loss_feature: 3.3882:  25%|##4       | 62/250 [00:08<00:23,  7.85it/s]

optimizing w: loss_pixel: 0.6754; loss_feature: 3.3882:  25%|##5       | 63/250 [00:08<00:23,  7.85it/s]

optimizing w: loss_pixel: 0.7115; loss_feature: 3.5083:  25%|##5       | 63/250 [00:08<00:23,  7.85it/s]

optimizing w: loss_pixel: 0.7115; loss_feature: 3.5083:  26%|##5       | 64/250 [00:08<00:23,  7.85it/s]

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optimizing w: loss_pixel: 0.5414; loss_feature: 3.2774:  36%|###6      | 91/250 [00:11<00:20,  7.86it/s]

optimizing w: loss_pixel: 0.3909; loss_feature: 3.1497:  36%|###6      | 91/250 [00:11<00:20,  7.86it/s]

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optimizing w: loss_pixel: 0.6432; loss_feature: 3.2742:  37%|###7      | 93/250 [00:11<00:19,  7.86it/s]

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optimizing w: loss_pixel: 0.7063; loss_feature: 3.0913:  38%|###7      | 94/250 [00:12<00:19,  7.86it/s]

optimizing w: loss_pixel: 0.7063; loss_feature: 3.0913:  38%|###8      | 95/250 [00:12<00:19,  7.86it/s]

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optimizing w: loss_pixel: 0.8090; loss_feature: 3.3101:  39%|###9      | 98/250 [00:12<00:19,  7.86it/s]

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optimizing w: loss_pixel: 0.5455; loss_feature: 3.4030:  40%|####      | 100/250 [00:12<00:19,  7.86it/s]

optimizing w: loss_pixel: 0.5698; loss_feature: 3.1571:  40%|####      | 100/250 [00:12<00:19,  7.86it/s]

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optimizing w: loss_pixel: 0.6666; loss_feature: 3.0098:  41%|####      | 102/250 [00:13<00:18,  7.87it/s]

optimizing w: loss_pixel: 0.6666; loss_feature: 3.0098:  41%|####1     | 103/250 [00:13<00:18,  7.87it/s]

optimizing w: loss_pixel: 0.8881; loss_feature: 3.0091:  41%|####1     | 103/250 [00:13<00:18,  7.87it/s]

optimizing w: loss_pixel: 0.8881; loss_feature: 3.0091:  42%|####1     | 104/250 [00:13<00:18,  7.87it/s]

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optimizing w: loss_pixel: 0.5686; loss_feature: 3.1677:  49%|####9     | 123/250 [00:15<00:16,  7.87it/s]

optimizing w: loss_pixel: 0.5686; loss_feature: 3.1677:  50%|####9     | 124/250 [00:15<00:16,  7.87it/s]

optimizing w: loss_pixel: 0.5986; loss_feature: 3.2470:  50%|####9     | 124/250 [00:15<00:16,  7.87it/s]

optimizing w: loss_pixel: 0.5986; loss_feature: 3.2470:  50%|#####     | 125/250 [00:15<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.4671; loss_feature: 3.1033:  50%|#####     | 125/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.4671; loss_feature: 3.1033:  50%|#####     | 126/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.4253; loss_feature: 2.9454:  50%|#####     | 126/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.4253; loss_feature: 2.9454:  51%|#####     | 127/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.4381; loss_feature: 3.0498:  51%|#####     | 127/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.4381; loss_feature: 3.0498:  51%|#####1    | 128/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.4726; loss_feature: 3.0755:  51%|#####1    | 128/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.4726; loss_feature: 3.0755:  52%|#####1    | 129/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.4491; loss_feature: 3.0727:  52%|#####1    | 129/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.4491; loss_feature: 3.0727:  52%|#####2    | 130/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.5236; loss_feature: 3.2125:  52%|#####2    | 130/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.5236; loss_feature: 3.2125:  52%|#####2    | 131/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.5440; loss_feature: 3.1253:  52%|#####2    | 131/250 [00:16<00:15,  7.87it/s]

optimizing w: loss_pixel: 0.5440; loss_feature: 3.1253:  53%|#####2    | 132/250 [00:16<00:14,  7.87it/s]

This output was created using a different version of the model, wonjongg/stylecarigan:8b4fe870.

Run time and cost

This model costs approximately $0.13 to run on Replicate, or 7 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 T4 GPU hardware. Predictions typically complete within 10 minutes. The predict time for this model varies significantly based on the inputs.

Readme

StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation

This repository contains the official PyTorch implementation of the following paper:

StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation
Wonjong Jang, Gwangjin Ju, Yucheol Jung, Jiaolong Yang, Xin Tong, Seungyong Lee, SIGGRAPH 2021

It inverts latent codes from input photos and generates caricatures from latent codes.

Citation

If you find this code useful, please consider citing:

@article{Jang2021StyleCari,
  author    = {Wonjong Jang and Gwangjin Ju and Yucheol Jung and Jiaolong Yang and Xin Tong and Seungyong Lee},
  title     = {StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation},
  booktitle = {ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH)},
  publisher = {ACM},
  volume = {40},
  number = {4},
  year = {2021}
}

Contact

You can have contact with wonjong@postech.ac.kr or ycjung@postech.ac.kr