CM191919191992/AUTOMATIC1111NSFW

import requests from flask import Flask, request, jsonify from PIL import Image

app = Flask(_name_)

Define a route for the endpoint

@app.route('/generateimage', methods=['POST']) def generateimage(): # Get the model and prompt from the request model_file = request.files['model'] prompt = request.form['prompt']

# Load the model model = loadmodel(modelfile)

# Generate an image based on the prompt image = generate_image(model, prompt)

# Return the image as a response return jsonify({'image': image})

Define a function to load the model

def loadmodel(modelfile): # Load the model using TensorFlow or PyTorch model = tf.keras.models.loadmodel(modelfile) return model

Define a function to generate an image

def generate_image(model, prompt): # Use the model to generate an image based on the prompt image = model.generate(prompt) return image

if _name == 'main_': app.run(debug=True)

import requests

Define the model and prompt

model_file = open('model.h5', 'rb') prompt = 'Generate an image of a cat'

Send a POST request to the endpoint

response = requests.post('https://example.com/generateimage', files={'model': modelfile}, data={'prompt': prompt})

Get the image from the response

image = response.json()['image']

Display the image

image = Image.fromarray(image) image.show()