anhappdev/test:ef4e1e64 | Run with an API on Replicate

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anhappdev /test:ef4e1e64

Playground API

Input

method

string

The method to use

Default: "remove"

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: 5

seed

integer

Random seed. Leave blank to randomize the seed

preview_input_image

boolean

Include the input image with mask overlay in the output

Default: false

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:ef4e1e6402b90b4164caf1f8141e4994a7ae752e47cab0a452dc94039cec550a",
  {
    input: {
      seed: 1234,
      image: "https://replicate.delivery/pbxt/Ia2sH4mZsg448cYoYBspSFbg5MtdDXCSBmtbQJ1sUscw0rVl/2.jpg",
      method: "replace",
      prompt: "a Christmas tree",
      mask_image: "https://replicate.delivery/pbxt/Ia2sGuBRcn7Va7fcHH1IapXZgguPWEOSoqjkM6B6NxziW2YV/2_mask.jpg",
      num_outputs: 3,
      guidance_scale: 4,
      negative_prompt: "",
      num_inference_steps: 40,
      preview_input_image: true
    }
  }
);

// 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:ef4e1e6402b90b4164caf1f8141e4994a7ae752e47cab0a452dc94039cec550a",
    input={
        "seed": 1234,
        "image": "https://replicate.delivery/pbxt/Ia2sH4mZsg448cYoYBspSFbg5MtdDXCSBmtbQJ1sUscw0rVl/2.jpg",
        "method": "replace",
        "prompt": "a Christmas tree",
        "mask_image": "https://replicate.delivery/pbxt/Ia2sGuBRcn7Va7fcHH1IapXZgguPWEOSoqjkM6B6NxziW2YV/2_mask.jpg",
        "num_outputs": 3,
        "guidance_scale": 4,
        "negative_prompt": "",
        "num_inference_steps": 40,
        "preview_input_image": True
    }
)
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:ef4e1e6402b90b4164caf1f8141e4994a7ae752e47cab0a452dc94039cec550a",
    "input": {
      "seed": 1234,
      "image": "https://replicate.delivery/pbxt/Ia2sH4mZsg448cYoYBspSFbg5MtdDXCSBmtbQJ1sUscw0rVl/2.jpg",
      "method": "replace",
      "prompt": "a Christmas tree",
      "mask_image": "https://replicate.delivery/pbxt/Ia2sGuBRcn7Va7fcHH1IapXZgguPWEOSoqjkM6B6NxziW2YV/2_mask.jpg",
      "num_outputs": 3,
      "guidance_scale": 4,
      "negative_prompt": "",
      "num_inference_steps": 40,
      "preview_input_image": true
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-05-11T16:09:28.274747Z",
  "created_at": "2023-05-11T16:09:15.192448Z",
  "data_removed": false,
  "error": null,
  "id": "rkywf4latvc53pdu5lo6bn4kvq",
  "input": {
    "seed": 1234,
    "image": "https://replicate.delivery/pbxt/Ia2sH4mZsg448cYoYBspSFbg5MtdDXCSBmtbQJ1sUscw0rVl/2.jpg",
    "method": "replace",
    "prompt": "a Christmas tree",
    "mask_image": "https://replicate.delivery/pbxt/Ia2sGuBRcn7Va7fcHH1IapXZgguPWEOSoqjkM6B6NxziW2YV/2_mask.jpg",
    "num_outputs": 3,
    "guidance_scale": 4,
    "num_inference_steps": 40,
    "preview_input_image": true
  },
  "logs": "2023-05-11 16:09:16,079 [INFO] :: Using seed: 1234\n  0%|          | 0/40 [00:00<?, ?it/s]\n  5%|▌         | 2/40 [00:00<00:03, 11.82it/s]\n 10%|█         | 4/40 [00:00<00:03, 11.96it/s]\n 15%|█▌        | 6/40 [00:00<00:02, 12.74it/s]\n 20%|██        | 8/40 [00:00<00:02, 12.75it/s]\n 25%|██▌       | 10/40 [00:00<00:02, 12.87it/s]\n 30%|███       | 12/40 [00:00<00:02, 12.87it/s]\n 35%|███▌      | 14/40 [00:01<00:02, 12.89it/s]\n 40%|████      | 16/40 [00:01<00:01, 12.71it/s]\n 45%|████▌     | 18/40 [00:01<00:01, 12.93it/s]\n 50%|█████     | 20/40 [00:01<00:01, 12.79it/s]\n 55%|█████▌    | 22/40 [00:01<00:01, 12.76it/s]\n 60%|██████    | 24/40 [00:01<00:01, 13.21it/s]\n 65%|██████▌   | 26/40 [00:02<00:01, 13.55it/s]\n 70%|███████   | 28/40 [00:02<00:00, 13.40it/s]\n 75%|███████▌  | 30/40 [00:02<00:00, 13.20it/s]\n 80%|████████  | 32/40 [00:02<00:00, 13.07it/s]\n 85%|████████▌ | 34/40 [00:02<00:00, 12.82it/s]\n 90%|█████████ | 36/40 [00:02<00:00, 13.40it/s]\n 95%|█████████▌| 38/40 [00:02<00:00, 13.85it/s]\n100%|██████████| 40/40 [00:03<00:00, 14.02it/s]\n100%|██████████| 40/40 [00:03<00:00, 13.15it/s]",
  "metrics": {
    "predict_time": 13.038941,
    "total_time": 13.082299
  },
  "output": [
    "https://replicate.delivery/pbxt/dwimchKBLOb8ORkAnRRAKDf59r8f7iflcX51NOKcB51rpY1hA/replace-masked-image.jpg",
    "https://replicate.delivery/pbxt/0N3feGIm3efSORZXfGsAMlJ5b12WKSXs9RBNA859yGrxmiVHC/replace-out-0.jpg",
    "https://replicate.delivery/pbxt/KeXIe0yxh1uwlkCHqQl4PsFX6YaqVBfw9dcYwLOUJO4spY1hA/replace-out-1.jpg",
    "https://replicate.delivery/pbxt/LstIB3uC7QJyDNQfUnnMCpL0o0cYZkLGfbecCsJUe6cdTxqDB/replace-out-2.jpg"
  ],
  "started_at": "2023-05-11T16:09:15.235806Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/rkywf4latvc53pdu5lo6bn4kvq",
    "cancel": "https://api.replicate.com/v1/predictions/rkywf4latvc53pdu5lo6bn4kvq/cancel"
  },
  "version": "ef4e1e6402b90b4164caf1f8141e4994a7ae752e47cab0a452dc94039cec550a"
}

Generated in

13.0 seconds

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