OpenAI DALL-E Image Generation Guide

OpenAI DALL-E Image Generation API: Complete Guide

The DALL-E API allows you to generate, edit, and create variations of images using text prompts. DALL-E 3 produces highly detailed, photorealistic images and can accurately render text, making it suitable for marketing materials, product mockups, illustrations, and creative projects.

Available Models and Capabilities

• DALL-E 3 — Latest model with best quality, text rendering, and prompt following. Supports 1024x1024, 1024x1792, 1792x1024.
• DALL-E 2 — Older model, supports editing and variations. Supports 256x256, 512x512, 1024x1024.

Generate an Image (Python)

from openai import OpenAI

client = OpenAI(base_url="https://claude4u.com/v1")

response = client.images.generate(
    model="dall-e-3",
    prompt="A serene Japanese garden in autumn with a wooden bridge over a koi pond, golden maple leaves falling, watercolor style",
    size="1024x1024",
    quality="standard",
    n=1
)

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

# The revised prompt (DALL-E 3 may enhance your prompt)
revised_prompt = response.data[0].revised_prompt
print(f"Revised prompt: {revised_prompt}")

Generate an Image (Node.js)

import OpenAI from 'openai';

const client = new OpenAI({ baseURL: 'https://claude4u.com/v1' });

const response = await client.images.generate({
    model: 'dall-e-3',
    prompt: 'A futuristic city skyline at sunset with flying vehicles and neon lights, cyberpunk aesthetic',
    size: '1792x1024',
    quality: 'hd',
    n: 1
});

console.log('Image URL:', response.data[0].url);
console.log('Revised prompt:', response.data[0].revised_prompt);

Image Quality Options

• standard — Default quality. Good for most uses. $0.040 per image (1024x1024).
• hd — Higher detail and consistency. $0.080 per image (1024x1024). Best for detailed scenes and professional use.

Image Sizes and Pricing (DALL-E 3)

• 1024x1024 — Square. $0.040 (standard) / $0.080 (HD)
• 1024x1792 — Portrait. $0.080 (standard) / $0.120 (HD)
• 1792x1024 — Landscape. $0.080 (standard) / $0.120 (HD)

Downloading and Saving Images

import requests
from openai import OpenAI

client = OpenAI(base_url="https://claude4u.com/v1")

response = client.images.generate(
    model="dall-e-3",
    prompt="A minimalist logo for a tech startup called 'NeuralFlow'",
    size="1024x1024",
    quality="hd",
    n=1
)

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

Get Image as Base64

response = client.images.generate(
    model="dall-e-3",
    prompt="An isometric illustration of a modern office workspace",
    size="1024x1024",
    response_format="b64_json",
    n=1
)

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

Writing Effective Prompts

The quality of generated images depends heavily on your prompt. Follow these guidelines:

1. Be specific — "A golden retriever playing fetch on a beach at sunset" beats "a dog"
2. Specify style — Add art style: "watercolor", "photorealistic", "pixel art", "oil painting", "3D render"
3. Describe composition — "close-up", "aerial view", "wide angle", "centered"
4. Include lighting — "dramatic lighting", "soft natural light", "neon glow", "golden hour"
5. Set mood — "peaceful", "dramatic", "whimsical", "dark and moody"

Image Editing (DALL-E 2)

DALL-E 2 supports inpainting, where you mask a region and generate new content:

response = client.images.edit(
    model="dall-e-2",
    image=open("original.png", "rb"),
    mask=open("mask.png", "rb"),
    prompt="A fluffy orange cat sitting on the chair",
    size="1024x1024",
    n=1
)

print(response.data[0].url)

Image Variations (DALL-E 2)

response = client.images.create_variation(
    model="dall-e-2",
    image=open("original.png", "rb"),
    size="1024x1024",
    n=3
)

for i, img in enumerate(response.data):
    print(f"Variation {i + 1}: {img.url}")

Content Policy and Limitations

• DALL-E will reject prompts that violate OpenAI's content policy
• Requests for real people's likenesses are blocked
• Violent, adult, or hateful content is not generated
• Generated images include C2PA metadata for provenance

Batch Image Generation

import asyncio
from openai import AsyncOpenAI

client = AsyncOpenAI(base_url="https://claude4u.com/v1")

async def generate_batch(prompts):
    tasks = [
        client.images.generate(
            model="dall-e-3",
            prompt=prompt,
            size="1024x1024",
            n=1
        )
        for prompt in prompts
    ]
    results = await asyncio.gather(*tasks)
    return [r.data[0].url for r in results]

prompts = [
    "A mountain landscape at dawn",
    "An underwater coral reef scene",
    "A cozy library with warm lighting"
]

urls = asyncio.run(generate_batch(prompts))
for url in urls:
    print(url)