dhanushreddy291/photo-background-generation:ac95b715

Version

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dhanushreddy291 /photo-background-generation:ac95b715

Input

prompt

string

Shift + Return to add a new line

A Shoe on a marble podium, product photography, high resolutionA Shoe on a marble podium, product photography, high resolution

Input prompt

Default: "A Shoe on a marble podium, product photography, high resolution"

negative_prompt

string

Shift + Return to add a new line

3d, cgi, render, bad quality, normal quality3d, cgi, render, bad quality, normal quality

Input Negative Prompt

Default: "3d, cgi, render, bad quality, normal quality"

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 20, maximum: 50)

Number of inference steps

Default: 30

seed

integer

Random seed. Leave blank to randomize the seed

image

file

Input image for Generating the Background

controlnet_conditioning_scale

number

(minimum: 1, maximum: 3)

Controlnet Conditioning Scale

Default: 1

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

npx create-replicate --model=dhanushreddy291/photo-background-generation

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 dhanushreddy291/photo-background-generation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "dhanushreddy291/photo-background-generation:ac95b715321c57e6cc4b424ea1fc348daab8fe62cb07fb88bef71e9104e24a80",
  {
    input: {
      prompt: "A Shoe on a marble podium, product photography, high resolution",
      num_outputs: 1,
      negative_prompt: "3d, cgi, render, bad quality, normal quality",
      num_inference_steps: 30,
      controlnet_conditioning_scale: 1
    }
  }
);

// 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 dhanushreddy291/photo-background-generation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "dhanushreddy291/photo-background-generation:ac95b715321c57e6cc4b424ea1fc348daab8fe62cb07fb88bef71e9104e24a80",
    input={
        "prompt": "A Shoe on a marble podium, product photography, high resolution",
        "num_outputs": 1,
        "negative_prompt": "3d, cgi, render, bad quality, normal quality",
        "num_inference_steps": 30,
        "controlnet_conditioning_scale": 1
    }
)
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 dhanushreddy291/photo-background-generation 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": "dhanushreddy291/photo-background-generation:ac95b715321c57e6cc4b424ea1fc348daab8fe62cb07fb88bef71e9104e24a80",
    "input": {
      "prompt": "A Shoe on a marble podium, product photography, high resolution",
      "num_outputs": 1,
      "negative_prompt": "3d, cgi, render, bad quality, normal quality",
      "num_inference_steps": 30,
      "controlnet_conditioning_scale": 1
    }
  }' \
  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.