text_to_image.py

import base64
from io import BytesIO

import requests
from PIL import Image

ENDPOINT_ADDRESS = "http://35.233.231.20:5000"


def text_to_image(prompt):
    inputs = {
        "modelInputs": {
            "prompt": prompt,
            "num_inference_steps": 25,
            "width": 512,
            "height": 512,
        },
        "callInputs": {
            "MODEL_ID": "lykon/dreamshaper-8",
            "PIPELINE": "AutoPipelineForText2Image",
            "SCHEDULER": "DEISMultistepScheduler",
            "PRECISION": "fp16",
            "REVISION": "fp16",
        },
    }

    response = requests.post(ENDPOINT_ADDRESS, json=inputs).json()
    image_data = BytesIO(base64.b64decode(response["image_base64"]))
    image = Image.open(image_data)

    return image


if __name__ == "__main__":
    image = text_to_image(prompt="Robot dinosaur")
    image.save("result.png")