Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

rwasfmdbcx25iw2kneyh67w2fy

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14.2s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3HlYnhvVI5IX35KJ6RkTTzoHwEDKL7KtAiPc4F4fDvcgJX3/pete-walls-92JRuvQZfKs-unsplash_crop43.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3HlYnhvVI5IX35KJ6RkTTzoHwEDKL7KtAiPc4F4fDvcgJX3/pete-walls-92JRuvQZfKs-unsplash_crop43.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3HlYnhvVI5IX35KJ6RkTTzoHwEDKL7KtAiPc4F4fDvcgJX3/pete-walls-92JRuvQZfKs-unsplash_crop43.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3HlYnhvVI5IX35KJ6RkTTzoHwEDKL7KtAiPc4F4fDvcgJX3/pete-walls-92JRuvQZfKs-unsplash_crop43.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:24:45.085754Z",
  "created_at": "2023-12-15T08:24:30.867733Z",
  "data_removed": false,
  "error": null,
  "id": "rwasfmdbcx25iw2kneyh67w2fy",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3HlYnhvVI5IX35KJ6RkTTzoHwEDKL7KtAiPc4F4fDvcgJX3/pete-walls-92JRuvQZfKs-unsplash_crop43.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:13,  1.55s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:09,  1.14s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:07,  1.01s/it]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.05it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:04<00:04,  1.09it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.12it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.13it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.14it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.15it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.15it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.34s/it]",
  "metrics": {
    "predict_time": 14.178237,
    "total_time": 14.218021
  },
  "output": [
    "https://replicate.delivery/pbxt/e3ADRhee5YRfZS3BD9DFNycivG5vNhNWtUCm2R6vrtMs0vJIB/depth_bw.png",
    "https://replicate.delivery/pbxt/9ZiEje1wIfiOaU7QdNbhOVH5fuFdPUSdY3dcwnaHfUdw0vJIB/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:24:30.907517Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/rwasfmdbcx25iw2kneyh67w2fy",
    "cancel": "https://api.replicate.com/v1/predictions/rwasfmdbcx25iw2kneyh67w2fy/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.2 seconds

Tweak it Share Report

Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

7joi6b3bpm6yv3jqcxsspxjopi

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14.5s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3Hm7yElxrTdGtqcO1QOFfOQgo7X2Dkkv4L4L8uU9MaJeeSM/dalle_3_crop43.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3Hm7yElxrTdGtqcO1QOFfOQgo7X2Dkkv4L4L8uU9MaJeeSM/dalle_3_crop43.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3Hm7yElxrTdGtqcO1QOFfOQgo7X2Dkkv4L4L8uU9MaJeeSM/dalle_3_crop43.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3Hm7yElxrTdGtqcO1QOFfOQgo7X2Dkkv4L4L8uU9MaJeeSM/dalle_3_crop43.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:25:20.932616Z",
  "created_at": "2023-12-15T08:25:06.398405Z",
  "data_removed": false,
  "error": null,
  "id": "7joi6b3bpm6yv3jqcxsspxjopi",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3Hm7yElxrTdGtqcO1QOFfOQgo7X2Dkkv4L4L8uU9MaJeeSM/dalle_3_crop43.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:14,  1.56s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:09,  1.15s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:07,  1.02s/it]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.04it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:05<00:04,  1.08it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.10it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.12it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.13it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.14it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.14it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.48s/it]",
  "metrics": {
    "predict_time": 14.495372,
    "total_time": 14.534211
  },
  "output": [
    "https://replicate.delivery/pbxt/eN7yq3tkXfvoxkQ85vrORHPe76NXSHt0S4xuTmLefHLebfNBJA/depth_bw.png",
    "https://replicate.delivery/pbxt/CSay5c2p7RoaD9KZpn6moPlCDQHXDeau0rCCU3CnyxX4ebCSA/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:25:06.437244Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/7joi6b3bpm6yv3jqcxsspxjopi",
    "cancel": "https://api.replicate.com/v1/predictions/7joi6b3bpm6yv3jqcxsspxjopi/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.5 seconds

Tweak it Share Report

Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

gstmeitbpogjtwj7hqa5uwfpbm

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14.1s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3HoJ3Y9YuTPA4AphIw9azAo518qBjztAQGzEhYUx8cr64vP/Ticino_crop43.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3HoJ3Y9YuTPA4AphIw9azAo518qBjztAQGzEhYUx8cr64vP/Ticino_crop43.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3HoJ3Y9YuTPA4AphIw9azAo518qBjztAQGzEhYUx8cr64vP/Ticino_crop43.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3HoJ3Y9YuTPA4AphIw9azAo518qBjztAQGzEhYUx8cr64vP/Ticino_crop43.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:27:39.501977Z",
  "created_at": "2023-12-15T08:27:25.399669Z",
  "data_removed": false,
  "error": null,
  "id": "gstmeitbpogjtwj7hqa5uwfpbm",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3HoJ3Y9YuTPA4AphIw9azAo518qBjztAQGzEhYUx8cr64vP/Ticino_crop43.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:13,  1.52s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:08,  1.12s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:06,  1.00it/s]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.06it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:04<00:04,  1.10it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.13it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.14it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.15it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.16it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.16it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.24s/it]",
  "metrics": {
    "predict_time": 14.063309,
    "total_time": 14.102308
  },
  "output": [
    "https://replicate.delivery/pbxt/FmtdwGsFxH6MHdSAFK2sXAQltkU1oaKSD3hBqRwQGYrefbCSA/depth_bw.png",
    "https://replicate.delivery/pbxt/6rTBCipOfBWvXyVTfduhHMUQds12VVIMT3C1XAMW0O47f3EkA/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:27:25.438668Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/gstmeitbpogjtwj7hqa5uwfpbm",
    "cancel": "https://api.replicate.com/v1/predictions/gstmeitbpogjtwj7hqa5uwfpbm/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.1 seconds

Tweak it Share Report

Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

cillxw3bb6x3zngakajlnusgre

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14.5s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3Hn7u1rSVlRRjCXxGVjXU6zfIX09DW30uYjRtYapxR5YDiX/S-IC_engines_and_Von_Braun_crop43.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3Hn7u1rSVlRRjCXxGVjXU6zfIX09DW30uYjRtYapxR5YDiX/S-IC_engines_and_Von_Braun_crop43.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3Hn7u1rSVlRRjCXxGVjXU6zfIX09DW30uYjRtYapxR5YDiX/S-IC_engines_and_Von_Braun_crop43.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3Hn7u1rSVlRRjCXxGVjXU6zfIX09DW30uYjRtYapxR5YDiX/S-IC_engines_and_Von_Braun_crop43.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:26:24.116757Z",
  "created_at": "2023-12-15T08:26:09.583150Z",
  "data_removed": false,
  "error": null,
  "id": "cillxw3bb6x3zngakajlnusgre",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3Hn7u1rSVlRRjCXxGVjXU6zfIX09DW30uYjRtYapxR5YDiX/S-IC_engines_and_Von_Braun_crop43.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:14,  1.56s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:09,  1.14s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:07,  1.02s/it]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.05it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:04<00:04,  1.09it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.11it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.13it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.14it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.14it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.15it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.34s/it]",
  "metrics": {
    "predict_time": 14.471544,
    "total_time": 14.533607
  },
  "output": [
    "https://replicate.delivery/pbxt/rjEj4iCyigrPMh5yl1nQi3K7POuWJ8ez1QDe2ZofyXRd93EkA/depth_bw.png",
    "https://replicate.delivery/pbxt/WHkMnfiVHtW1DSflrBJBB1LtCT0q7hHMUNTaw22vBivve3EkA/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:26:09.645213Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/cillxw3bb6x3zngakajlnusgre",
    "cancel": "https://api.replicate.com/v1/predictions/cillxw3bb6x3zngakajlnusgre/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.5 seconds

Tweak it Share Report

Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

zxctnwtbp2ke2qy53cxkl2ekv4

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14.7s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3HorhanHXhZ8WeWpH1udCnnXe3UX1Olmp619RN3nHxNBBmU/WechatIMG17527_crop43.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3HorhanHXhZ8WeWpH1udCnnXe3UX1Olmp619RN3nHxNBBmU/WechatIMG17527_crop43.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3HorhanHXhZ8WeWpH1udCnnXe3UX1Olmp619RN3nHxNBBmU/WechatIMG17527_crop43.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3HorhanHXhZ8WeWpH1udCnnXe3UX1Olmp619RN3nHxNBBmU/WechatIMG17527_crop43.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:28:13.995762Z",
  "created_at": "2023-12-15T08:27:59.350010Z",
  "data_removed": false,
  "error": null,
  "id": "zxctnwtbp2ke2qy53cxkl2ekv4",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3HorhanHXhZ8WeWpH1udCnnXe3UX1Olmp619RN3nHxNBBmU/WechatIMG17527_crop43.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:14,  1.57s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:09,  1.16s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:07,  1.02s/it]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.04it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:05<00:04,  1.08it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.10it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.12it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.13it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.13it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.14it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.45s/it]",
  "metrics": {
    "predict_time": 14.571437,
    "total_time": 14.645752
  },
  "output": [
    "https://replicate.delivery/pbxt/fS7CT14IFJXyHiAIfcKospCWztxuheAEyR8zffRKhR1lDgTQC/depth_bw.png",
    "https://replicate.delivery/pbxt/TadKPFoM0Nr3Ktl6gyAcdEUp5mUTWN8rOokJlNJD0zTHAngE/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:27:59.424325Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/zxctnwtbp2ke2qy53cxkl2ekv4",
    "cancel": "https://api.replicate.com/v1/predictions/zxctnwtbp2ke2qy53cxkl2ekv4/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.6 seconds

Tweak it Share Report

Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

ee7744lbnlzxtwgdxez6neo66m

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14.4s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3HpMRbaY4XdvJt6SXDfnau7DyMRUIREKxpJT0uoxNH86mpJ/STS_114_day_before_launch_crop43.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3HpMRbaY4XdvJt6SXDfnau7DyMRUIREKxpJT0uoxNH86mpJ/STS_114_day_before_launch_crop43.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3HpMRbaY4XdvJt6SXDfnau7DyMRUIREKxpJT0uoxNH86mpJ/STS_114_day_before_launch_crop43.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3HpMRbaY4XdvJt6SXDfnau7DyMRUIREKxpJT0uoxNH86mpJ/STS_114_day_before_launch_crop43.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:28:44.514139Z",
  "created_at": "2023-12-15T08:28:30.090852Z",
  "data_removed": false,
  "error": null,
  "id": "ee7744lbnlzxtwgdxez6neo66m",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3HpMRbaY4XdvJt6SXDfnau7DyMRUIREKxpJT0uoxNH86mpJ/STS_114_day_before_launch_crop43.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:14,  1.57s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:09,  1.15s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:07,  1.02s/it]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.05it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:05<00:04,  1.08it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.11it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.13it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.14it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.14it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.15it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.37s/it]",
  "metrics": {
    "predict_time": 14.319215,
    "total_time": 14.423287
  },
  "output": [
    "https://replicate.delivery/pbxt/0lWdWN2BvLoEIRPeWS7lEZ8Xa7KPpecznB4YGtb7kv57AcCSA/depth_bw.png",
    "https://replicate.delivery/pbxt/2xkU38j1rKbBGlBSPeqSNrsypkVSsG9KfIeCqudIwL15B4EkA/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:28:30.194924Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ee7744lbnlzxtwgdxez6neo66m",
    "cancel": "https://api.replicate.com/v1/predictions/ee7744lbnlzxtwgdxez6neo66m/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.3 seconds

Tweak it Share Report

Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

z7mj72lb5ta3rouits5leho4hm

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14.4s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3HqoCZAd1g4hzLB01eEzvkyPQlAzxFckg8D2Pj4K8Ok5toE/files_bee.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3HqoCZAd1g4hzLB01eEzvkyPQlAzxFckg8D2Pj4K8Ok5toE/files_bee.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3HqoCZAd1g4hzLB01eEzvkyPQlAzxFckg8D2Pj4K8Ok5toE/files_bee.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3HqoCZAd1g4hzLB01eEzvkyPQlAzxFckg8D2Pj4K8Ok5toE/files_bee.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:30:17.374938Z",
  "created_at": "2023-12-15T08:30:02.962303Z",
  "data_removed": false,
  "error": null,
  "id": "z7mj72lb5ta3rouits5leho4hm",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3HqoCZAd1g4hzLB01eEzvkyPQlAzxFckg8D2Pj4K8Ok5toE/files_bee.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:14,  1.57s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:09,  1.15s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:07,  1.02s/it]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.05it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:05<00:04,  1.09it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.11it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.13it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.14it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.14it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.15it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.38s/it]",
  "metrics": {
    "predict_time": 14.374841,
    "total_time": 14.412635
  },
  "output": [
    "https://replicate.delivery/pbxt/N3On4OOHxrpcJtEPNmcF3HROgJfjL0EzhWePf9AIz02uE4EkA/depth_bw.png",
    "https://replicate.delivery/pbxt/mLjUAMoVeowYPS3e2kYqnUFB68dfCBXPTrxFNrxWcIZxE4EkA/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:30:03.000097Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/z7mj72lb5ta3rouits5leho4hm",
    "cancel": "https://api.replicate.com/v1/predictions/z7mj72lb5ta3rouits5leho4hm/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.4 seconds

Tweak it Share Report

Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

3olmeqdbcg5foloiscmujnvz7e

Status

Succeeded

Source

Web

Hardware

A40

Total duration

15.0s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3HpzgbSdE1ogtGAXXYB67Uh88Y2XmNvXTPGYyKotD34la2x/Lincoln_Cathedral_Chapter_House.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3HpzgbSdE1ogtGAXXYB67Uh88Y2XmNvXTPGYyKotD34la2x/Lincoln_Cathedral_Chapter_House.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3HpzgbSdE1ogtGAXXYB67Uh88Y2XmNvXTPGYyKotD34la2x/Lincoln_Cathedral_Chapter_House.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3HpzgbSdE1ogtGAXXYB67Uh88Y2XmNvXTPGYyKotD34la2x/Lincoln_Cathedral_Chapter_House.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:29:25.443773Z",
  "created_at": "2023-12-15T08:29:10.468453Z",
  "data_removed": false,
  "error": null,
  "id": "3olmeqdbcg5foloiscmujnvz7e",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3HpzgbSdE1ogtGAXXYB67Uh88Y2XmNvXTPGYyKotD34la2x/Lincoln_Cathedral_Chapter_House.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:14,  1.59s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:09,  1.17s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:07,  1.03s/it]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.03it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:05<00:04,  1.07it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.10it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.11it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.12it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.13it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.14it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.47s/it]",
  "metrics": {
    "predict_time": 14.922706,
    "total_time": 14.97532
  },
  "output": [
    "https://replicate.delivery/pbxt/O0cmbtUiayZwCBbWzcnne5dGJrVnTspHqOrbeG3S9HnjBcCSA/depth_bw.png",
    "https://replicate.delivery/pbxt/pnnfM3Bots3BJqPW8Ehem13CVfkufu2MvyR6nQMhqwhSGwJIB/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:29:10.521067Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3olmeqdbcg5foloiscmujnvz7e",
    "cancel": "https://api.replicate.com/v1/predictions/3olmeqdbcg5foloiscmujnvz7e/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.9 seconds

Tweak it Share Report

Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

pvkgfytbzq2a34zw5x26oded4y

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14.2s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3Ht9IEFlsAAXXIuLiOiRZIMoWnwDBt46qcuOx3GTbRP26KX/files_swings.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3Ht9IEFlsAAXXIuLiOiRZIMoWnwDBt46qcuOx3GTbRP26KX/files_swings.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3Ht9IEFlsAAXXIuLiOiRZIMoWnwDBt46qcuOx3GTbRP26KX/files_swings.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3Ht9IEFlsAAXXIuLiOiRZIMoWnwDBt46qcuOx3GTbRP26KX/files_swings.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:32:45.500230Z",
  "created_at": "2023-12-15T08:32:31.301569Z",
  "data_removed": false,
  "error": null,
  "id": "pvkgfytbzq2a34zw5x26oded4y",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3Ht9IEFlsAAXXIuLiOiRZIMoWnwDBt46qcuOx3GTbRP26KX/files_swings.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:14,  1.58s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:09,  1.16s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:07,  1.02s/it]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.04it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:05<00:04,  1.08it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.11it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.12it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.13it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.14it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.15it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.39s/it]",
  "metrics": {
    "predict_time": 14.159943,
    "total_time": 14.198661
  },
  "output": [
    "https://replicate.delivery/pbxt/EKZOphPHyHYsJdB7e1Mb2BeRYLK6LwVrrSlkttoIGR0sEcCSA/depth_bw.png",
    "https://replicate.delivery/pbxt/t6bvQfkrpoygKKhMHcwYRsUaQYSi9H6Y4wDrbXpEeE9tEcCSA/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:32:31.340287Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/pvkgfytbzq2a34zw5x26oded4y",
    "cancel": "https://api.replicate.com/v1/predictions/pvkgfytbzq2a34zw5x26oded4y/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.2 seconds

Tweak it Share Report

Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

27v25d3buswn34er73ztugstxq

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14.8s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3HrncwgRcCEYr3ohl0zvap90Ib4wAAEb3T1V1zsupxtQ8nN/example_0.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3HrncwgRcCEYr3ohl0zvap90Ib4wAAEb3T1V1zsupxtQ8nN/example_0.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3HrncwgRcCEYr3ohl0zvap90Ib4wAAEb3T1V1zsupxtQ8nN/example_0.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3HrncwgRcCEYr3ohl0zvap90Ib4wAAEb3T1V1zsupxtQ8nN/example_0.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:31:21.373539Z",
  "created_at": "2023-12-15T08:31:06.565725Z",
  "data_removed": false,
  "error": null,
  "id": "27v25d3buswn34er73ztugstxq",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3HrncwgRcCEYr3ohl0zvap90Ib4wAAEb3T1V1zsupxtQ8nN/example_0.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:14,  1.56s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:09,  1.15s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:07,  1.02s/it]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.04it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:05<00:04,  1.08it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.10it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.12it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.13it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.14it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.14it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.39s/it]",
  "metrics": {
    "predict_time": 14.770289,
    "total_time": 14.807814
  },
  "output": [
    "https://replicate.delivery/pbxt/2mR5c2igct6sLZV3TkFwe5ZYXQe4MTXK1mqLePC3piCvG4EkA/depth_bw.png",
    "https://replicate.delivery/pbxt/eyWf0XDPc9rhA0gUs6pfGtpQJDRtsXlmJnfQ4kgdu2OlNwJIB/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:31:06.603250Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/27v25d3buswn34er73ztugstxq",
    "cancel": "https://api.replicate.com/v1/predictions/27v25d3buswn34er73ztugstxq/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.8 seconds

Tweak it Share Report

Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

6svvhgtbse4i7372uiuv6qj6qm

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14.8s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3HsJRvTU665Mhb4k7AwzwjuuOtpIf0TxakhLCCVt1QRI2Rg/example_4.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3HsJRvTU665Mhb4k7AwzwjuuOtpIf0TxakhLCCVt1QRI2Rg/example_4.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3HsJRvTU665Mhb4k7AwzwjuuOtpIf0TxakhLCCVt1QRI2Rg/example_4.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3HsJRvTU665Mhb4k7AwzwjuuOtpIf0TxakhLCCVt1QRI2Rg/example_4.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:31:53.846953Z",
  "created_at": "2023-12-15T08:31:39.013133Z",
  "data_removed": false,
  "error": null,
  "id": "6svvhgtbse4i7372uiuv6qj6qm",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3HsJRvTU665Mhb4k7AwzwjuuOtpIf0TxakhLCCVt1QRI2Rg/example_4.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:14,  1.57s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:09,  1.15s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:07,  1.02s/it]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.04it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:05<00:04,  1.08it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.10it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.12it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.13it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.13it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.14it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.43s/it]",
  "metrics": {
    "predict_time": 14.766253,
    "total_time": 14.83382
  },
  "output": [
    "https://replicate.delivery/pbxt/lPh2IVyuApqXO9kfNSoqlzqfYiOi3a74JhyoyLjeeu4gPwJIB/depth_bw.png",
    "https://replicate.delivery/pbxt/KMyiw0xR42alMpHmJCa2x0z9RU8Ae39VTYntEhTSVjl8BOBJA/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:31:39.080700Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/6svvhgtbse4i7372uiuv6qj6qm",
    "cancel": "https://api.replicate.com/v1/predictions/6svvhgtbse4i7372uiuv6qj6qm/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.8 seconds

Tweak it Share Report

Prediction

adirik/marigold:1a363593

Model

adirik/marigold:1a363593

ID

mxznwkdbmh2dxckadhq3qxpvvy

Status

Succeeded

Source

Web

Hardware

A40

Total duration

14.7s

Created

over 1 year ago

Input

image
max_iter: 5
num_infer: 10
resize_input
denoise_steps: 10
reduction_method: median
regularizer_strength: 0.02

{
  "image": "https://replicate.delivery/pbxt/K3HtgAOtKrM1b7HB6hYfXDVKXiq7cs64PQQp8ppOV5DYg3gI/example_5.jpg",
  "max_iter": 5,
  "num_infer": 10,
  "resize_input": true,
  "denoise_steps": 10,
  "reduction_method": "median",
  "regularizer_strength": 0.02
}

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

const output = await replicate.run(
  "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
  {
    input: {
      image: "https://replicate.delivery/pbxt/K3HtgAOtKrM1b7HB6hYfXDVKXiq7cs64PQQp8ppOV5DYg3gI/example_5.jpg",
      max_iter: 5,
      num_infer: 10,
      resize_input: true,
      denoise_steps: 10,
      reduction_method: "median",
      regularizer_strength: 0.02
    }
  }
);
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 adirik/marigold using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/marigold:1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    input={
        "image": "https://replicate.delivery/pbxt/K3HtgAOtKrM1b7HB6hYfXDVKXiq7cs64PQQp8ppOV5DYg3gI/example_5.jpg",
        "max_iter": 5,
        "num_infer": 10,
        "resize_input": True,
        "denoise_steps": 10,
        "reduction_method": "median",
        "regularizer_strength": 0.02
    }
)
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 adirik/marigold 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": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818",
    "input": {
      "image": "https://replicate.delivery/pbxt/K3HtgAOtKrM1b7HB6hYfXDVKXiq7cs64PQQp8ppOV5DYg3gI/example_5.jpg",
      "max_iter": 5,
      "num_infer": 10,
      "resize_input": true,
      "denoise_steps": 10,
      "reduction_method": "median",
      "regularizer_strength": 0.02
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-12-15T08:33:19.013048Z",
  "created_at": "2023-12-15T08:33:04.358246Z",
  "data_removed": false,
  "error": null,
  "id": "mxznwkdbmh2dxckadhq3qxpvvy",
  "input": {
    "image": "https://replicate.delivery/pbxt/K3HtgAOtKrM1b7HB6hYfXDVKXiq7cs64PQQp8ppOV5DYg3gI/example_5.jpg",
    "max_iter": 5,
    "num_infer": 10,
    "resize_input": true,
    "denoise_steps": 10,
    "reduction_method": "median",
    "regularizer_strength": 0.02
  },
  "logs": "multiple inference:   0%|          | 0/1 [00:00<?, ?it/s]\ndenoising:   0%|          | 0/10 [00:00<?, ?it/s]\u001b[A\ndenoising:  10%|█         | 1/10 [00:01<00:14,  1.58s/it]\u001b[A\ndenoising:  20%|██        | 2/10 [00:02<00:09,  1.16s/it]\u001b[A\ndenoising:  30%|███       | 3/10 [00:03<00:07,  1.02s/it]\u001b[A\ndenoising:  40%|████      | 4/10 [00:04<00:05,  1.04it/s]\u001b[A\ndenoising:  50%|█████     | 5/10 [00:05<00:04,  1.08it/s]\u001b[A\ndenoising:  60%|██████    | 6/10 [00:05<00:03,  1.11it/s]\u001b[A\ndenoising:  70%|███████   | 7/10 [00:06<00:02,  1.12it/s]\u001b[A\ndenoising:  80%|████████  | 8/10 [00:07<00:01,  1.13it/s]\u001b[A\ndenoising:  90%|█████████ | 9/10 [00:08<00:00,  1.14it/s]\u001b[A\ndenoising: 100%|██████████| 10/10 [00:09<00:00,  1.15it/s]\u001b[A\n                                                          \u001b[A\nmultiple inference: 100%|██████████| 1/1 [00:09<00:00,  9.39s/it]",
  "metrics": {
    "predict_time": 14.61633,
    "total_time": 14.654802
  },
  "output": [
    "https://replicate.delivery/pbxt/OkOKDOE1BloeIaPEDIWR6LVSGQoxQQkprg0jq3gGv7qmCOBJA/depth_bw.png",
    "https://replicate.delivery/pbxt/iq8eVorj2AzrNyFynG8jbFBtVPH6piqXQJfCidKH5gZOFcCSA/depth_colored.png"
  ],
  "started_at": "2023-12-15T08:33:04.396718Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/mxznwkdbmh2dxckadhq3qxpvvy",
    "cancel": "https://api.replicate.com/v1/predictions/mxznwkdbmh2dxckadhq3qxpvvy/cancel"
  },
  "version": "1a363593bc4882684fc58042d19db5e13a810e44e02f8d4c32afd1eb30464818"
}

Generated in

14.6 seconds

Tweak it Share Report