model: string, identifier of the model to choose
- stabilityai/stable-diffusion-xl-base-1.0: Default Stable Diffusion XL model
ratio: Ratio of the output image
- 1-1 ,4-3, 16-9, 16-10, 3-4,9-16,10-16
high_noise_frac: Denoising factor
n_steps: how many iterations should be performed

Example payload

payload = {
    'trainerFilePath': 'modules\\stablediffusionxl\\stablediffusionxl.trainer',
    'server': '127.0.0.1',
    'data' = '[{"id":"input_prompt","type":"input","src":"user:text","prompt":"' + prompt +'","active":"True"},{"id":"negative_prompt","type":"input","src":"user:text","prompt":"' +  negative_prompt +'","active":"True"},{"id":"output_image","type":"output","src":"file:image","uri":"' + outputfile+'","active":"True"}]'
    'optStr': 'model=stabilityai/stable-diffusion-xl-base-1.0;ratio=4-3'
}

import requests

url = 'http://127.0.0.1:53770/predict'
headers = {'Content-type': 'application/x-www-form-urlencoded'}
requests.post(url, headers=headers, data=payload)