logerzhu/ad-inpaint:e206f01e – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

logerzhu /ad-inpaint:e206f01e

Playground API

Input

image_path

*file

input image

prompt

*string

Shift + Return to add a new line

Prompt

regen_prompt

boolean

Regenerate prompt with ChatGPT

Default: false

negative_prompt

string

Shift + Return to add a new line

text, illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)text, illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)

Negative Prompt

Default: "text, illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)"

limit_product

boolean

Limit the max product size

Default: false

picwish_api_key

string

Shift + Return to add a new line

Remove background with picwish.cn api

guidance_scale

number

Guidance Scale

Default: 7.5

num_inference_steps

integer

Inference Steps

Default: 20

controlnet_conditioning_scale

number

Controlnet Conditioning Scale

Default: 0.7

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

npx create-replicate --model=logerzhu/ad-inpaint

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 logerzhu/ad-inpaint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "logerzhu/ad-inpaint:e206f01e3e2ec2ebd7f3f8150a1f5dc9479b96c69882e358ac3af30eaef45eb6",
  {
    input: {
      regen_prompt: false,
      limit_product: false,
      guidance_scale: 7.5,
      negative_prompt: "text, illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)",
      num_inference_steps: 20,
      controlnet_conditioning_scale: 0.7
    }
  }
);

// 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 logerzhu/ad-inpaint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "logerzhu/ad-inpaint:e206f01e3e2ec2ebd7f3f8150a1f5dc9479b96c69882e358ac3af30eaef45eb6",
    input={
        "regen_prompt": False,
        "limit_product": False,
        "guidance_scale": 7.5,
        "negative_prompt": "text, illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)",
        "num_inference_steps": 20,
        "controlnet_conditioning_scale": 0.7
    }
)
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 logerzhu/ad-inpaint 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": "logerzhu/ad-inpaint:e206f01e3e2ec2ebd7f3f8150a1f5dc9479b96c69882e358ac3af30eaef45eb6",
    "input": {
      "regen_prompt": false,
      "limit_product": false,
      "guidance_scale": 7.5,
      "negative_prompt": "text, illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)",
      "num_inference_steps": 20,
      "controlnet_conditioning_scale": 0.7
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.