Image to Image SD 1.5

Stable Diffusion 1.5's image-to-image capability allows you to modify or transform existing images using text descriptions. It's like having a digital paintbrush that can be guided by your words.

Python
JavaScript
php

import requests
import json
url = "https://api.imagepipeline.io/sd/image2image/v1"
headers = {
    "API-Key": "Your API Key"
}
data = {
    "model_id":  "sd1.5",
    "prompt": "gingerbread house with fairy lights and realistic finish, 8k quality",
    "negative_prompt": "error, cropped, worst quality, low quality, duplicate, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, blurry, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
    "num_inference_steps": 30,
    "refiner": false,
    "samples": 1,
    "guidance_scale": 7.5,
    "width": 512,
    "height": 512,
    "init_image": "https://docs.imagepipeline.io/img/cottage.png",
    "seed": 12345,
    "scheduler": "UniPCMultistepScheduler",
    "safety_checker": true
}
response = requests.post(url, headers=headers, data=json.dumps(data))
print(response.json())

const url = "https://api.imagepipeline.io/sd/image2image/v1";
const headers = {
  "API-Key": "Your API Key",
  "Content-Type": "application/json"
};
const data = {
  "model_id":  "sd1.5",
  "prompt": "gingerbread house with fairy lights and realistic finish, 8k quality",
  "negative_prompt": "error, cropped, worst quality, low quality, duplicate, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, blurry, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
  "num_inference_steps": 30,
  "refiner": false,
  "samples": 1,
  "guidance_scale": 7.5,
  "width": 512,
  "height": 512,
  "init_image": "https://docs.imagepipeline.io/img/cottage.png",
  "seed": 12345,
  "scheduler": "UniPCMultistepScheduler",
  "safety_checker": true
};
fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(data)
})
.then(response => response.json())
.then(data => console.log(data))
.catch((error) => console.error('Error:', error));

<?php
$url = "https://api.imagepipeline.io/sd/image2image/v1";
$headers = array(
  "API-Key: Your-API-Key",
  "Content-Type: application/json"
);
$data = array(
  "model_id" =>  "sd1.5",
  "prompt" => "gingerbread house with fairy lights and realistic finish, 8k quality",
  "negative_prompt" => "error, cropped, worst quality, low quality, duplicate, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, blurry, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
  "num_inference_steps" => 30,
  "samples" => 1,
  "guidance_scale" => 7.5,
  "width" => 512,
  "height" => 512,
  "init_image"=> "https://docs.imagepipeline.io/img/cottage.png",
  "seed" => 12345,
  "scheduler"=> "UniPCMultistepScheduler",
  "safety_checker" => true
);
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
$response = curl_exec($ch);
if($response === FALSE){
  die(curl_error($ch));
}
$responseData = json_decode($response, TRUE);
curl_close($ch);
var_dump($responseData);
?>

JSON Parameters

Parameter	Permissible values	Notes
model_id	`str`	model_id can be found in models page. Filter by SD-1.5 models
prompt	`str, 75 tokens`	Check our Prompt Guide for tips
negative_prompt	`str, 75 tokens`	Check our Prompt Guide for tips
num_inference_steps	`int, [1-100]`	Noise is removed with each step, resulting in a higher-quality image over time. Ideal value 20-30
strength	`float, [0-1]`	Optional denoise strength
samples	`int, [1-4]`	Generates a maximum of 4 samples per API call
guidance_scale	`float, [1-20]`	Higher guidance scale prioritizes text prompt relevance but sacrifices image quality. Ideal value 7.5-12.5
width	`int`	Width in pixels. Lower than or equal to 512 for best results
height	`int`	Height in pixels. Lower than or equal to 512 for best results
init_image	`str`	Add a publicly available link to the image you want to edit
seed	`int`	Controlling the seed can help you generate reproducible images
safety_checker	`boolean`	Checks for NSFW images and filters explicit images

Status

Your response will include a status.

If the status = SUCCESS, you will also have download_urls that will have the links to your generated image based on the number of samples you have entered. The maximum number of samples that can be generated is 4.
If the status = PENDING, you will receive a id. You can use the status endpoint to fetch your image using the id.
If the status = FAILURE, you will receive only an error message.

Endpoint:

https://api.imagepipeline.io/sd/image2image/v1/status/{{id}}

Pass the API-Key as the authorization in the header.