Python Image Generation

Python image generation and editing with DALL-E and GPT-Image-1

DALL-E 3 Image Generation

from openai import OpenAI

client = OpenAI(api_key="sk-xxx", base_url="https://crazyrouter.com/v1")

response = client.images.generate(
    model="dall-e-3",
    prompt="A cat wearing a spacesuit walking on the moon, digital art style",
    size="1024x1024",
    quality="hd",
    n=1
)

image_url = response.data[0].url
print(f"Image URL: {image_url}")

DALL-E Parameters

Parameter	Options	Description
size	1024x1024, 1792x1024, 1024x1792	Image dimensions
quality	standard, hd	Image quality
style	vivid, natural	Style

GPT-Image-1 Image Generation

response = client.images.generate(
    model="gpt-image-1",
    prompt="A modern minimalist logo with an artificial intelligence theme",
    size="1024x1024",
    n=1
)

# GPT-Image-1 returns base64
import base64
image_b64 = response.data[0].b64_json
with open("logo.png", "wb") as f:
    f.write(base64.b64decode(image_b64))
print("Image saved")

GPT-Image-1 Image Editing

# Image editing (requires original image)
response = client.images.edit(
    model="gpt-image-1",
    image=open("original.png", "rb"),
    prompt="Change the background to a beach sunset"
)

import base64
with open("edited.png", "wb") as f:
    f.write(base64.b64decode(response.data[0].b64_json))

Download and Save Images

import requests

response = client.images.generate(
    model="dall-e-3",
    prompt="Cyberpunk city nightscape",
    size="1792x1024"
)

# Download image
image_url = response.data[0].url
img_data = requests.get(image_url).content
with open("cyberpunk_city.png", "wb") as f:
    f.write(img_data)
print("Image saved")

DALL-E 3 returns URLs (valid for about 1 hour), while GPT-Image-1 returns base64 data. Download and save promptly.

Image generation costs are relatively high. Test your prompt with smaller sizes first, then generate high-quality large images once satisfied.