anhappdev/test:10ba78e9 – Run with an API on Replicate

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anhappdev /test:10ba78e9

Playground API

Input

method

string

The method to use

Default: "replace"

prompt

string

Shift + Return to add a new line

The prompt to guide the image generation. Use ++ to emphasize and -- to de-emphasize parts of the sentence

Default: "a photo of an astronaut++ riding a horse on mars"

negative_prompt

string

Shift + Return to add a new line

Specify things to not see in the output

Default: ""

image

*file

Preview

The image which will be inpainted.Parts of the image will be masked out with `mask_image` and repainted according to `prompt`.

mask_image

*file

Preview

A black and white image to use as mask for inpainting over the image provided. White pixels in the mask will be repainted, while black pixels will be preserved

num_outputs

integer

(minimum: 1, maximum: 8)

Number of images to output. Higher number of outputs may cause OOM.

Default: 3

num_inference_steps

integer

(minimum: 1, maximum: 50)

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

Default: 30

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

seed

integer

Random seed. Leave blank to randomize the seed

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

npx create-replicate --model=anhappdev/test

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

const output = await replicate.run(
  "anhappdev/test:10ba78e98238c724dd80edabd0636066540a22df40e0e12fecdf180bdb487235",
  {
    input: {
      seed: 123,
      image: "https://replicate.delivery/pbxt/Ia2E3MUrVDVXITRVSKCHcCYi9WMYGoTpqxtqZ0PuqRoaY3FW/1.jpg",
      method: "replace",
      prompt: "a yellow++ leather++ couch",
      mask_image: "https://replicate.delivery/pbxt/Ia2E2SDOE51oEfLeToezFAIYKw84oX0wHJYNVO5GUr6YMFMi/1_mask.jpg",
      num_outputs: 3,
      guidance_scale: 7.5,
      negative_prompt: "",
      num_inference_steps: 50
    }
  }
);

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

output = replicate.run(
    "anhappdev/test:10ba78e98238c724dd80edabd0636066540a22df40e0e12fecdf180bdb487235",
    input={
        "seed": 123,
        "image": "https://replicate.delivery/pbxt/Ia2E3MUrVDVXITRVSKCHcCYi9WMYGoTpqxtqZ0PuqRoaY3FW/1.jpg",
        "method": "replace",
        "prompt": "a yellow++ leather++ couch",
        "mask_image": "https://replicate.delivery/pbxt/Ia2E2SDOE51oEfLeToezFAIYKw84oX0wHJYNVO5GUr6YMFMi/1_mask.jpg",
        "num_outputs": 3,
        "guidance_scale": 7.5,
        "negative_prompt": "",
        "num_inference_steps": 50
    }
)
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 anhappdev/test 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": "anhappdev/test:10ba78e98238c724dd80edabd0636066540a22df40e0e12fecdf180bdb487235",
    "input": {
      "seed": 123,
      "image": "https://replicate.delivery/pbxt/Ia2E3MUrVDVXITRVSKCHcCYi9WMYGoTpqxtqZ0PuqRoaY3FW/1.jpg",
      "method": "replace",
      "prompt": "a yellow++ leather++ couch",
      "mask_image": "https://replicate.delivery/pbxt/Ia2E2SDOE51oEfLeToezFAIYKw84oX0wHJYNVO5GUr6YMFMi/1_mask.jpg",
      "num_outputs": 3,
      "guidance_scale": 7.5,
      "negative_prompt": "",
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-04-24T12:58:53.449064Z",
  "created_at": "2023-04-24T12:56:49.779116Z",
  "data_removed": false,
  "error": null,
  "id": "b5a4pesonfgw5klij6lnxcpu5m",
  "input": {
    "seed": 123,
    "image": "https://replicate.delivery/pbxt/Ia2E3MUrVDVXITRVSKCHcCYi9WMYGoTpqxtqZ0PuqRoaY3FW/1.jpg",
    "method": "replace",
    "prompt": "a yellow++ leather++ couch",
    "mask_image": "https://replicate.delivery/pbxt/Ia2E2SDOE51oEfLeToezFAIYKw84oX0wHJYNVO5GUr6YMFMi/1_mask.jpg",
    "num_outputs": 3,
    "guidance_scale": 7.5,
    "num_inference_steps": 50
  },
  "logs": "2023-04-24 12:58:44,617 [INFO] :: Using seed: 123\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:07,  6.98it/s]\n  6%|▌         | 3/50 [00:00<00:03, 11.91it/s]\n 10%|█         | 5/50 [00:00<00:03, 13.93it/s]\n 14%|█▍        | 7/50 [00:00<00:02, 14.82it/s]\n 18%|█▊        | 9/50 [00:00<00:02, 15.45it/s]\n 22%|██▏       | 11/50 [00:00<00:02, 15.70it/s]\n 26%|██▌       | 13/50 [00:00<00:02, 15.88it/s]\n 30%|███       | 15/50 [00:01<00:02, 15.95it/s]\n 34%|███▍      | 17/50 [00:01<00:02, 16.10it/s]\n 38%|███▊      | 19/50 [00:01<00:01, 16.32it/s]\n 42%|████▏     | 21/50 [00:01<00:01, 16.49it/s]\n 46%|████▌     | 23/50 [00:01<00:01, 16.49it/s]\n 50%|█████     | 25/50 [00:01<00:01, 16.56it/s]\n 54%|█████▍    | 27/50 [00:01<00:01, 16.52it/s]\n 58%|█████▊    | 29/50 [00:01<00:01, 16.33it/s]\n 62%|██████▏   | 31/50 [00:01<00:01, 16.27it/s]\n 66%|██████▌   | 33/50 [00:02<00:01, 16.25it/s]\n 70%|███████   | 35/50 [00:02<00:00, 16.34it/s]\n 74%|███████▍  | 37/50 [00:02<00:00, 16.37it/s]\n 78%|███████▊  | 39/50 [00:02<00:00, 16.47it/s]\n 82%|████████▏ | 41/50 [00:02<00:00, 16.54it/s]\n 86%|████████▌ | 43/50 [00:02<00:00, 16.60it/s]\n 90%|█████████ | 45/50 [00:02<00:00, 16.61it/s]\n 94%|█████████▍| 47/50 [00:02<00:00, 16.67it/s]\n 98%|█████████▊| 49/50 [00:03<00:00, 16.69it/s]\n100%|██████████| 50/50 [00:03<00:00, 16.02it/s]",
  "metrics": {
    "predict_time": 10.088599,
    "total_time": 123.669948
  },
  "output": [
    "https://replicate.delivery/pbxt/ejfwZwb8cOqSH0kJQLzDaoKfXJqJHyeqw0GimaXssggvwLUDB/out-0.jpg",
    "https://replicate.delivery/pbxt/jE8uTi45GMp2OFqZ8JGWIWw8aJKE0PeeTqqQcnPmECCM8C1QA/out-1.jpg",
    "https://replicate.delivery/pbxt/5NEneufID7gLa0WWTeq1URlMSYgvC9RcQHgNGOvajULZ4FqhA/out-2.jpg"
  ],
  "started_at": "2023-04-24T12:58:43.360465Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/b5a4pesonfgw5klij6lnxcpu5m",
    "cancel": "https://api.replicate.com/v1/predictions/b5a4pesonfgw5klij6lnxcpu5m/cancel"
  },
  "version": "10ba78e98238c724dd80edabd0636066540a22df40e0e12fecdf180bdb487235"
}

Generated in

10.1 seconds

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