dhanushreddy291/photo-background-generation | Run with an API on Replicate

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";
import fs from "node:fs";

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:965ac3a06130be7d477be7c73164fe972505fd759e7717ed28850f9865c23651",
  {
    input: {
      image: "https://unsplash.com/photos/AYIeSFWhEB8/download?force=true&w=640",
      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:965ac3a06130be7d477be7c73164fe972505fd759e7717ed28850f9865c23651",
    input={
        "image": "https://unsplash.com/photos/AYIeSFWhEB8/download?force=true&w=640",
        "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:965ac3a06130be7d477be7c73164fe972505fd759e7717ed28850f9865c23651",
    "input": {
      "image": "https://unsplash.com/photos/AYIeSFWhEB8/download?force=true&w=640",
      "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

{
  "completed_at": "2024-06-15T08:20:23.483619Z",
  "created_at": "2024-06-15T08:18:13.018000Z",
  "data_removed": false,
  "error": null,
  "id": "wv7t4cxxk9rgm0cg3bws0708a8",
  "input": {
    "image": "https://unsplash.com/photos/AYIeSFWhEB8/download?force=true&w=640",
    "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
  },
  "logs": "Using seed: 11152876\n/root/.pyenv/versions/3.10.14/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3190.)\nreturn _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]\nSettings -> Mode=base, Device=cuda:0, Torchscript=disabled\nSettings -> Mode=base, Device=cuda:0, Torchscript=disabled\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:04,  6.87it/s]\n 10%|█         | 3/30 [00:00<00:03,  8.11it/s]\n 17%|█▋        | 5/30 [00:00<00:02,  9.38it/s]\n 23%|██▎       | 7/30 [00:00<00:02, 10.02it/s]\n 30%|███       | 9/30 [00:00<00:02, 10.38it/s]\n 37%|███▋      | 11/30 [00:01<00:01, 10.60it/s]\n 43%|████▎     | 13/30 [00:01<00:01, 10.72it/s]\n 50%|█████     | 15/30 [00:01<00:01, 10.79it/s]\n 57%|█████▋    | 17/30 [00:01<00:01, 10.86it/s]\n 63%|██████▎   | 19/30 [00:01<00:01, 10.92it/s]\n 70%|███████   | 21/30 [00:02<00:00, 10.96it/s]\n 77%|███████▋  | 23/30 [00:02<00:00, 10.97it/s]\n 83%|████████▎ | 25/30 [00:02<00:00, 10.98it/s]\n 90%|█████████ | 27/30 [00:02<00:00, 11.00it/s]\n 97%|█████████▋| 29/30 [00:02<00:00, 11.01it/s]\n100%|██████████| 30/30 [00:02<00:00, 10.61it/s]",
  "metrics": {
    "predict_time": 10.733520402,
    "total_time": 130.465619
  },
  "output": [
    "https://replicate.delivery/pbxt/b8wxAZmKEmJ0NVXe7ckd7v3uvOOriLwg5HieLpU8RYkGDwelA/out-0.png"
  ],
  "started_at": "2024-06-15T08:20:12.750099Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/wv7t4cxxk9rgm0cg3bws0708a8",
    "cancel": "https://api.replicate.com/v1/predictions/wv7t4cxxk9rgm0cg3bws0708a8/cancel"
  },
  "version": "1db5ee211d65558d3fd11fc60bc00073f300d7a3a0b5abbfafbd20239ac58d2f"
}

Generated in

10.7 seconds