如何使用 DALL·E API

# imports
from openai import OpenAI  # OpenAI Python library to make API calls
import requests  # used to download images
import os  # used to access filepaths
from PIL import Image  # used to print and edit images

# initialize OpenAI client
client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY", "<your OpenAI API key if not set as env var>"))

# save the image
generated_image_name = "generated_image.png"  # any name you like; the filetype should be .png
generated_image_filepath = os.path.join(image_dir, generated_image_name)
generated_image_url = generation_response.data[0].url  # extract image URL from response
generated_image = requests.get(generated_image_url).content  # download the image

with open(generated_image_filepath, "wb") as image_file:
    image_file.write(generated_image)  # write the image to the file

# print the image
print(generated_image_filepath)
display(Image.open(generated_image_filepath))

# save the images
variation_urls = [datum.url for datum in variation_response.data]  # extract URLs
variation_images = [requests.get(url).content for url in variation_urls]  # download images
variation_image_names = [f"variation_image_{i}.png" for i in range(len(variation_images))]  # create names
variation_image_filepaths = [os.path.join(image_dir, name) for name in variation_image_names]  # create filepaths
for image, filepath in zip(variation_images, variation_image_filepaths):  # loop through the variations
    with open(filepath, "wb") as image_file:  # open the file
        image_file.write(image)  # write the image to the file

# print the original image
print(generated_image_filepath)
display(Image.open(generated_image_filepath))

# print the new variations
for variation_image_filepaths in variation_image_filepaths:
    print(variation_image_filepaths)
    display(Image.open(variation_image_filepaths))

# create a mask
width = 1024
height = 1024
mask = Image.new("RGBA", (width, height), (0, 0, 0, 1))  # create an opaque image mask

# set the bottom half to be transparent
for x in range(width):
    for y in range(height // 2, height):  # only loop over the bottom half of the mask
        # set alpha (A) to zero to turn pixel transparent
        alpha = 0
        mask.putpixel((x, y), (0, 0, 0, alpha))

# save the mask
mask_name = "bottom_half_mask.png"
mask_filepath = os.path.join(image_dir, mask_name)
mask.save(mask_filepath)

# save the image
edited_image_name = "edited_image.png"  # any name you like; the filetype should be .png
edited_image_filepath = os.path.join(image_dir, edited_image_name)
edited_image_url = edit_response.data[0].url  # extract image URL from response
edited_image = requests.get(edited_image_url).content  # download the image

with open(edited_image_filepath, "wb") as image_file:
    image_file.write(edited_image)  # write the image to the file

# print the original image
print(generated_image_filepath)
display(Image.open(generated_image_filepath))

# print edited image
print(edited_image_filepath)
display(Image.open(edited_image_filepath))