Stable Diffusion 3.5

Text to image with Stable Diffusion 3.5

Python

import requests
import json

url = "https://api.imagepipeline.io/sd3_5/v1"
headers = {
    "API-Key": "Your API Key",
    "Content-Type": "application/json"
}
data = {
  "prompt": "beautiful waterfall in the rainforest, anime style",
  "negative_prompt": "error, cropped, worst quality, low quality, duplicate, bad proportions, incomplete subject",
  "num_inference_steps": 4,
  "samples": 1,
  "guidance_scale":0.0,
  "width": 1024,
  "height": 1024
}
response = requests.post(url, headers=headers, data=json.dumps(data))
print(response.json())

JavaScript

const url = "https://api.imagepipeline.io/sd3_5/v1";
const headers = {
  "API-Key": "Your API Key",
  "Content-Type": "application/json"
};
const data = {
  "prompt": "beautiful waterfall in the rainforest, anime style",
  "negative_prompt": "error, cropped, worst quality, low quality, duplicate, bad proportions, incomplete subject",
  "num_inference_steps": 4,
  "samples": 1,
  "guidance_scale":0.0,
  "width": 1024,
  "height": 1024
};
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

<?php
$url = "https://api.imagepipeline.io/sd3_5/v1";
$headers = array(
  "API-Key: Your-API-Key",
  "Content-Type: application/json"
);
$data = array(
  "prompt"=> "beautiful waterfall in the rainforest, anime style",
  "negative_prompt"=> "error, cropped, worst quality, low quality, duplicate, bad proportions, incomplete subject",
  "num_inference_steps"=> 4,
  "samples"=> 1,
  "guidance_scale"=> 0.0,
  "width"=> 1024,
  "height"=> 1024
);
$ch = curl_init($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);
?>

Available JSON Parameters for Control

Parameter	Type	Notes
prompt	string	Required. Description of the image to generate.
negative_prompt	string	Required. Description of what should not appear in the image.
num_inference_steps	integer	Required. Number of inference steps.
samples	integer	Required. Max: 2. Number of images to generate.
guidance_scale	number	Required. Max: 20. Controls how much the image should adhere to the prompt.
height	integer	Default: 1024. Optional image height.
width	integer	Default: 1024. Optional image width.
webhook	string	Generated image will be sent to this webhook.
direct_link	boolean	Fetches the friendly URL in PNG format.
batch_id	string	Adds a batch_id.
file_prefix	string	Adds a file_prefix.
queued_image_urls	boolean	Returns the links of the images prematurely. The link will have the image once the task is completed.

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 an 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: [GET]

• https://api.imagepipeline.io/sd3_5/v1/status/{{id}}

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