Technical Specifications of dall-e-3
| Specification | Details |
|---|---|
| Model ID | dall-e-3 |
| Model type | Image generation model |
| Primary modality | Text input → image output |
| Supported endpoint | /images/generations |
| Input prompt limit | Up to 4000 characters |
| Output count | n=1 only |
| Supported sizes | 1024x1024, 1792x1024, 1024x1792 |
| Quality options | standard, hd |
| Response formats | url, b64_json |
| URL validity | Returned image URLs are valid for 60 minutes |
| Best use case | High-quality image generation from detailed text prompts |
What is dall-e-3?
dall-e-3 is OpenAI’s newer DALL·E image generation model, designed to create images from natural-language prompts with stronger prompt understanding, improved detail, and better text rendering in images than earlier DALL·E versions. It supports portrait, landscape, and square outputs, and is especially useful for users who want visually rich results from descriptive prompts.
This model is intended for image generation workflows where the input is text and the output is a generated image. It is available through the image generation API and is commonly used for marketing mockups, concept art, illustrations, product visuals, and other creative generation tasks.
Main features of dall-e-3
- Improved prompt understanding:
dall-e-3is built to follow complex and descriptive prompts more accurately, helping generate results that better match user intent. - Higher-detail image generation: It produces more detailed visuals than older DALL·E models, making it suitable for polished creative outputs.
- Text rendering in images: The model is better at generating readable text inside images, which is useful for posters, signs, labels, and similar designs.
- Multiple aspect ratios: It supports square, portrait, and landscape image sizes, allowing more flexibility for different design and publishing needs.
- Simple API usage: The model can be called by setting the model parameter to
dall-e-3in image generation requests. - Base64 or hosted URL output: You can retrieve results either as a temporary hosted image URL or as
b64_jsonfor direct downstream processing. - Quality controls:
standardandhdquality options let developers balance speed and output quality depending on the use case.
How to access and integrate dall-e-3
Step 1: Sign Up for API Key
To get started, sign up on CometAPI and create your API key from the dashboard. After generating the key, store it securely and use it to authenticate requests to the dall-e-3 API. This key is required for all integration methods, including REST, SDK, and platform-based deployments.
Step 2: Send Requests to dall-e-3 API
Once you have your API key, send a request to the image generation endpoint and specify dall-e-3 as the model.
curl --request POST \
--url https://api.cometapi.com/v1/images/generations \
--header "Authorization: Bearer $COMETAPI_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "dall-e-3",
"prompt": "A cinematic futuristic city skyline at sunset with flying cars and neon reflections",
"size": "1024x1024",
"quality": "hd",
"response_format": "url"
}'
Step 3: Retrieve and Verify Results
After submission, the API returns the generated image result for dall-e-3. Verify that the response contains the expected output format, such as a hosted image URL or base64 payload, then store, render, or pass the result into your application workflow. Be sure to validate the response structure and handle temporary URL expiry where applicable.