yuni-eng/inpainting:062d8ed6 – Run with an API on Replicate

Version

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yuni-eng /inpainting:062d8ed6

Playground API

Input

image

file

Preview

Input image to inpaint.

mask

file

Preview

Black and white image to use as mask for inpainting over the image provided. White-colored regions are inpainted and black-colored regions are preserved

prompt

string

Shift + Return to add a new line

realistic photo of golden shoes, no text in billboardrealistic photo of golden shoes, no text in billboard

Input prompt

Default: "nike shoes in billboard"

negative_prompt

string

Shift + Return to add a new line

poorly drawn hands, poorly drawn feet, poorly drawn face, poorly drawn eyes, extra limbs, disfigured, deformed, bad anatomy, distorted text, incorrect text spellingpoorly drawn hands, poorly drawn feet, poorly drawn face, poorly drawn eyes, extra limbs, disfigured, deformed, bad anatomy, distorted text, incorrect text spelling

Specify things to not see in the output

Default: "poorly drawn hands, poorly drawn feet, poorly drawn face, poorly drawn eyes, extra limbs, disfigured, deformed, bad anatomy, distorted text, incorrect text spelling"

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output. > 2 might generate out-of-memory errors.

Default: 1

seed

integer

Random seed. Set to 0 to randomize the seed. If you need tweaks to a generated image, reuse the same seed number from output logs.

Default: 0

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps. More denoising steps usually lead to a higher quality image at the expense of slower inference

Default: 100

guidance_scale

number

(minimum: 1, maximum: 20)

A higher guidance scale value generate images closely to the text prompt at the expense of lower image quality. Guidance scale is enabled when guidance_scale > 1.

Default: 7.5

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

npx create-replicate --model=yuni-eng/inpainting

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

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

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run yuni-eng/inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "yuni-eng/inpainting:062d8ed6016c7bf957101afbe2d279b5698a6b822def8d592a36a5efdf372752",
  {
    input: {
      mask: "https://replicate.delivery/pbxt/JuydgV8lA1U9R1xKiTVxO5PMCXUoYpOP3VxdLbMHIcNkY1nY/mask.png",
      seed: 0,
      image: "https://replicate.delivery/pbxt/JuydgiKU8Dnu68VP1C5yNMwqM7i0eD55I8uQQJMfdR3hUgxN/billboard.png",
      prompt: "realistic photo of golden shoes, no text in billboard",
      num_outputs: 1,
      guidance_scale: 20,
      negative_prompt: "poorly drawn hands, poorly drawn feet, poorly drawn face, poorly drawn eyes, extra limbs, disfigured, deformed, bad anatomy, distorted text, incorrect text spelling",
      num_inference_steps: 200
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

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

Find your API token in your account settings.

Import the client:

import replicate

Run yuni-eng/inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "yuni-eng/inpainting:062d8ed6016c7bf957101afbe2d279b5698a6b822def8d592a36a5efdf372752",
    input={
        "mask": "https://replicate.delivery/pbxt/JuydgV8lA1U9R1xKiTVxO5PMCXUoYpOP3VxdLbMHIcNkY1nY/mask.png",
        "seed": 0,
        "image": "https://replicate.delivery/pbxt/JuydgiKU8Dnu68VP1C5yNMwqM7i0eD55I8uQQJMfdR3hUgxN/billboard.png",
        "prompt": "realistic photo of golden shoes, no text in billboard",
        "num_outputs": 1,
        "guidance_scale": 20,
        "negative_prompt": "poorly drawn hands, poorly drawn feet, poorly drawn face, poorly drawn eyes, extra limbs, disfigured, deformed, bad anatomy, distorted text, incorrect text spelling",
        "num_inference_steps": 200
    }
)
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 yuni-eng/inpainting 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": "yuni-eng/inpainting:062d8ed6016c7bf957101afbe2d279b5698a6b822def8d592a36a5efdf372752",
    "input": {
      "mask": "https://replicate.delivery/pbxt/JuydgV8lA1U9R1xKiTVxO5PMCXUoYpOP3VxdLbMHIcNkY1nY/mask.png",
      "seed": 0,
      "image": "https://replicate.delivery/pbxt/JuydgiKU8Dnu68VP1C5yNMwqM7i0eD55I8uQQJMfdR3hUgxN/billboard.png",
      "prompt": "realistic photo of golden shoes, no text in billboard",
      "num_outputs": 1,
      "guidance_scale": 20,
      "negative_prompt": "poorly drawn hands, poorly drawn feet, poorly drawn face, poorly drawn eyes, extra limbs, disfigured, deformed, bad anatomy, distorted text, incorrect text spelling",
      "num_inference_steps": 200
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-21T22:38:26.086118Z",
  "created_at": "2023-11-21T22:38:16.635887Z",
  "data_removed": false,
  "error": null,
  "id": "6s5oculbvlyayrpgbc7gkr2u34",
  "input": {
    "mask": "https://replicate.delivery/pbxt/JuydgV8lA1U9R1xKiTVxO5PMCXUoYpOP3VxdLbMHIcNkY1nY/mask.png",
    "seed": 0,
    "image": "https://replicate.delivery/pbxt/JuydgiKU8Dnu68VP1C5yNMwqM7i0eD55I8uQQJMfdR3hUgxN/billboard.png",
    "prompt": "realistic photo of golden shoes, no text in billboard",
    "num_outputs": 1,
    "guidance_scale": 20,
    "negative_prompt": "poorly drawn hands, poorly drawn feet, poorly drawn face, poorly drawn eyes, extra limbs, disfigured, deformed, bad anatomy, distorted text, incorrect text spelling",
    "num_inference_steps": 200
  },
  "logs": "Using seed: 15078\n  0%|          | 0/200 [00:00<?, ?it/s]\n  0%|          | 1/200 [00:00<00:20,  9.73it/s]\n  2%|▏         | 4/200 [00:00<00:09, 20.27it/s]\n  4%|▎         | 7/200 [00:00<00:08, 23.44it/s]\n  5%|▌         | 10/200 [00:00<00:07, 24.91it/s]\n  6%|▋         | 13/200 [00:00<00:07, 25.67it/s]\n  8%|▊         | 16/200 [00:00<00:07, 26.06it/s]\n 10%|▉         | 19/200 [00:00<00:06, 26.39it/s]\n 11%|█         | 22/200 [00:00<00:06, 26.64it/s]\n 12%|█▎        | 25/200 [00:00<00:06, 26.72it/s]\n 14%|█▍        | 28/200 [00:01<00:06, 26.84it/s]\n 16%|█▌        | 31/200 [00:01<00:06, 26.94it/s]\n 17%|█▋        | 34/200 [00:01<00:06, 26.97it/s]\n 18%|█▊        | 37/200 [00:01<00:06, 27.05it/s]\n 20%|██        | 40/200 [00:01<00:05, 27.06it/s]\n 22%|██▏       | 43/200 [00:01<00:05, 27.08it/s]\n 23%|██▎       | 46/200 [00:01<00:05, 27.09it/s]\n 24%|██▍       | 49/200 [00:01<00:05, 27.13it/s]\n 26%|██▌       | 52/200 [00:01<00:05, 27.12it/s]\n 28%|██▊       | 55/200 [00:02<00:05, 27.13it/s]\n 29%|██▉       | 58/200 [00:02<00:05, 27.10it/s]\n 30%|███       | 61/200 [00:02<00:05, 27.10it/s]\n 32%|███▏      | 64/200 [00:02<00:05, 27.10it/s]\n 34%|███▎      | 67/200 [00:02<00:04, 27.09it/s]\n 35%|███▌      | 70/200 [00:02<00:04, 27.10it/s]\n 36%|███▋      | 73/200 [00:02<00:04, 27.09it/s]\n 38%|███▊      | 76/200 [00:02<00:04, 27.11it/s]\n 40%|███▉      | 79/200 [00:02<00:04, 27.13it/s]\n 41%|████      | 82/200 [00:03<00:04, 27.18it/s]\n 42%|████▎     | 85/200 [00:03<00:04, 27.21it/s]\n 44%|████▍     | 88/200 [00:03<00:04, 27.28it/s]\n 46%|████▌     | 91/200 [00:03<00:03, 27.28it/s]\n 47%|████▋     | 94/200 [00:03<00:03, 27.29it/s]\n 48%|████▊     | 97/200 [00:03<00:03, 27.28it/s]\n 50%|█████     | 100/200 [00:03<00:03, 27.29it/s]\n 52%|█████▏    | 103/200 [00:03<00:03, 27.25it/s]\n 53%|█████▎    | 106/200 [00:03<00:03, 27.29it/s]\n 55%|█████▍    | 109/200 [00:04<00:03, 27.27it/s]\n 56%|█████▌    | 112/200 [00:04<00:03, 27.26it/s]\n 57%|█████▊    | 115/200 [00:04<00:03, 27.24it/s]\n 59%|█████▉    | 118/200 [00:04<00:03, 27.25it/s]\n 60%|██████    | 121/200 [00:04<00:02, 27.26it/s]\n 62%|██████▏   | 124/200 [00:04<00:02, 27.29it/s]\n 64%|██████▎   | 127/200 [00:04<00:02, 27.27it/s]\n 65%|██████▌   | 130/200 [00:04<00:02, 27.27it/s]\n 66%|██████▋   | 133/200 [00:04<00:02, 27.28it/s]\n 68%|██████▊   | 136/200 [00:05<00:02, 27.30it/s]\n 70%|██████▉   | 139/200 [00:05<00:02, 27.27it/s]\n 71%|███████   | 142/200 [00:05<00:02, 27.30it/s]\n 72%|███████▎  | 145/200 [00:05<00:02, 27.25it/s]\n 74%|███████▍  | 148/200 [00:05<00:01, 27.24it/s]\n 76%|███████▌  | 151/200 [00:05<00:01, 27.24it/s]\n 77%|███████▋  | 154/200 [00:05<00:01, 27.28it/s]\n 78%|███████▊  | 157/200 [00:05<00:01, 27.26it/s]\n 80%|████████  | 160/200 [00:05<00:01, 27.27it/s]\n 82%|████████▏ | 163/200 [00:06<00:01, 27.27it/s]\n 83%|████████▎ | 166/200 [00:06<00:01, 27.27it/s]\n 84%|████████▍ | 169/200 [00:06<00:01, 27.27it/s]\n 86%|████████▌ | 172/200 [00:06<00:01, 27.29it/s]\n 88%|████████▊ | 175/200 [00:06<00:00, 27.28it/s]\n 89%|████████▉ | 178/200 [00:06<00:00, 27.30it/s]\n 90%|█████████ | 181/200 [00:06<00:00, 27.29it/s]\n 92%|█████████▏| 184/200 [00:06<00:00, 27.29it/s]\n 94%|█████████▎| 187/200 [00:06<00:00, 27.27it/s]\n 95%|█████████▌| 190/200 [00:07<00:00, 27.28it/s]\n 96%|█████████▋| 193/200 [00:07<00:00, 27.26it/s]\n 98%|█████████▊| 196/200 [00:07<00:00, 27.29it/s]\n100%|█████████▉| 199/200 [00:07<00:00, 27.24it/s]\n100%|██████████| 200/200 [00:07<00:00, 26.96it/s]\nPrediction complete",
  "metrics": {
    "predict_time": 9.383412,
    "total_time": 9.450231
  },
  "output": [
    "https://replicate.delivery/pbxt/vDyJdsMz3orfUaCUvxFQPwPHrchopZmNtV7Srish0O3wGX9IA/out-0.png"
  ],
  "started_at": "2023-11-21T22:38:16.702706Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/6s5oculbvlyayrpgbc7gkr2u34",
    "cancel": "https://api.replicate.com/v1/predictions/6s5oculbvlyayrpgbc7gkr2u34/cancel"
  },
  "version": "062d8ed6016c7bf957101afbe2d279b5698a6b822def8d592a36a5efdf372752"
}

Generated in

9.4 seconds

Tweak itReport

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Prediction complete