如何在keras tensorflow中提供一张图片作为输入，并获得另一张图片作为输出

import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.layers import Conv2D, UpSampling2D

input_shape = (height, width, channels)  # 输入图片的形状
model = keras.Sequential()
model.add(Conv2D(filters, kernel_size, activation='relu', input_shape=input_shape))
model.add(UpSampling2D(size=(scale_factor, scale_factor)))
# 添加更多的层和操作以构建模型

model.compile(optimizer='adam', loss='mse')

x_train = ...  # 输入图片数据
y_train = ...  # 输出图片数据

model.fit(x_train, y_train, batch_size=batch_size, epochs=epochs)

x_test = ...  # 待预测的输入图片数据
y_pred = model.predict(x_test)