Prediction

k-amir/ootdifussiondc:3d375cf5aa238751a8e4342eda56a11f960964bb1023f8610ee052b5fbdc69ea

Model

k-amir/ootdifussiondc:3d375cf5

cen5vfdbn3ooqp3udm5ha6kjbq

Status

Succeeded

Source

Web

Hardware

A40

Total duration

4m 44s

Created

about 1 year ago

Input

seed: 0
n_steps: 20
category: lowerbody
garm_img
vton_img
n_samples: 1
image_scale: 2

{
  "seed": 0,
  "n_steps": 20,
  "category": "lowerbody",
  "garm_img": "https://replicate.delivery/pbxt/Ka5cuvEAmCHuL1zHrxatGHeFOs6GJZ5wjMQQg4qCmaRsNm2B/pants.jpeg",
  "vton_img": "https://replicate.delivery/pbxt/Ka5cuBJhEHKSvUB7dHIwffZUI9oeifAwzAhJhLvy4kIeooII/woman.png",
  "n_samples": 1,
  "image_scale": 2
}

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 k-amir/ootdifussiondc using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "k-amir/ootdifussiondc:3d375cf5aa238751a8e4342eda56a11f960964bb1023f8610ee052b5fbdc69ea",
  {
    input: {
      seed: 0,
      n_steps: 20,
      category: "lowerbody",
      garm_img: "https://replicate.delivery/pbxt/Ka5cuvEAmCHuL1zHrxatGHeFOs6GJZ5wjMQQg4qCmaRsNm2B/pants.jpeg",
      vton_img: "https://replicate.delivery/pbxt/Ka5cuBJhEHKSvUB7dHIwffZUI9oeifAwzAhJhLvy4kIeooII/woman.png",
      n_samples: 1,
      image_scale: 2
    }
  }
);

// 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 k-amir/ootdifussiondc using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "k-amir/ootdifussiondc:3d375cf5aa238751a8e4342eda56a11f960964bb1023f8610ee052b5fbdc69ea",
    input={
        "seed": 0,
        "n_steps": 20,
        "category": "lowerbody",
        "garm_img": "https://replicate.delivery/pbxt/Ka5cuvEAmCHuL1zHrxatGHeFOs6GJZ5wjMQQg4qCmaRsNm2B/pants.jpeg",
        "vton_img": "https://replicate.delivery/pbxt/Ka5cuBJhEHKSvUB7dHIwffZUI9oeifAwzAhJhLvy4kIeooII/woman.png",
        "n_samples": 1,
        "image_scale": 2
    }
)
print(output)

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

Run k-amir/ootdifussiondc 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": "k-amir/ootdifussiondc:3d375cf5aa238751a8e4342eda56a11f960964bb1023f8610ee052b5fbdc69ea",
    "input": {
      "seed": 0,
      "n_steps": 20,
      "category": "lowerbody",
      "garm_img": "https://replicate.delivery/pbxt/Ka5cuvEAmCHuL1zHrxatGHeFOs6GJZ5wjMQQg4qCmaRsNm2B/pants.jpeg",
      "vton_img": "https://replicate.delivery/pbxt/Ka5cuBJhEHKSvUB7dHIwffZUI9oeifAwzAhJhLvy4kIeooII/woman.png",
      "n_samples": 1,
      "image_scale": 2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-03-16T18:30:32.437867Z",
  "created_at": "2024-03-16T18:25:48.373632Z",
  "data_removed": false,
  "error": null,
  "id": "cen5vfdbn3ooqp3udm5ha6kjbq",
  "input": {
    "seed": 0,
    "n_steps": 20,
    "category": "lowerbody",
    "garm_img": "https://replicate.delivery/pbxt/Ka5cuvEAmCHuL1zHrxatGHeFOs6GJZ5wjMQQg4qCmaRsNm2B/pants.jpeg",
    "vton_img": "https://replicate.delivery/pbxt/Ka5cuBJhEHKSvUB7dHIwffZUI9oeifAwzAhJhLvy4kIeooII/woman.png",
    "n_samples": 1,
    "image_scale": 2
  },
  "logs": "0%|          | 0/1 [00:00<?, ?it/s]\n100%|██████████| 1/1 [00:21<00:00, 21.65s/it]\n100%|██████████| 1/1 [00:21<00:00, 21.65s/it]\n  0%|          | 0/1 [00:00<?, ?it/s]\n100%|██████████| 1/1 [00:21<00:00, 21.77s/it]\n100%|██████████| 1/1 [00:21<00:00, 21.77s/it]\nInitial seed: 0\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:08,  2.35it/s]\n 10%|█         | 2/20 [00:00<00:07,  2.39it/s]\n 15%|█▌        | 3/20 [00:01<00:07,  2.37it/s]\n 20%|██        | 4/20 [00:01<00:06,  2.38it/s]\n 25%|██▌       | 5/20 [00:02<00:06,  2.39it/s]\n 30%|███       | 6/20 [00:02<00:05,  2.39it/s]\n 35%|███▌      | 7/20 [00:02<00:05,  2.39it/s]\n 40%|████      | 8/20 [00:03<00:05,  2.39it/s]\n 45%|████▌     | 9/20 [00:03<00:04,  2.40it/s]\n 50%|█████     | 10/20 [00:04<00:04,  2.39it/s]\n 55%|█████▌    | 11/20 [00:04<00:03,  2.39it/s]\n 60%|██████    | 12/20 [00:05<00:03,  2.39it/s]\n 65%|██████▌   | 13/20 [00:05<00:02,  2.39it/s]\n 70%|███████   | 14/20 [00:05<00:02,  2.39it/s]\n 75%|███████▌  | 15/20 [00:06<00:02,  2.39it/s]\n 80%|████████  | 16/20 [00:06<00:01,  2.39it/s]\n 85%|████████▌ | 17/20 [00:07<00:01,  2.38it/s]\n 90%|█████████ | 18/20 [00:07<00:00,  2.38it/s]\n 95%|█████████▌| 19/20 [00:07<00:00,  2.38it/s]\n100%|██████████| 20/20 [00:08<00:00,  2.38it/s]\n100%|██████████| 20/20 [00:08<00:00,  2.39it/s]",
  "metrics": {
    "predict_time": 54.472559,
    "total_time": 284.064235
  },
  "output": "https://replicate.delivery/pbxt/ek6ezxiTpVtnJUgdUykgUqAdEzX3GWBsol94TcRfHCffoLHUC/output.png",
  "started_at": "2024-03-16T18:29:37.965308Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/cen5vfdbn3ooqp3udm5ha6kjbq",
    "cancel": "https://api.replicate.com/v1/predictions/cen5vfdbn3ooqp3udm5ha6kjbq/cancel"
  },
  "version": "3d375cf5aa238751a8e4342eda56a11f960964bb1023f8610ee052b5fbdc69ea"
}

Generated in

54.5 seconds

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