DALL·E 3

DALL·E 3 high fidelity text to image generation API

6faeddf2-0240-4c21-99c4-1e9d2d4468ce

DALL·E 3 converts natural language prompts into detailed images with strong caption fidelity. It improves handling of complex instructions and visual details. It integrates with ChatGPT and the OpenAI API for programmatic image creation and workflow automation.

OpenAI
Commercial use
Text to Image

Examples

94e87a40-a3f9-4877-8ffb-8d940cb3ff6c
0287fbeb-df16-4d6e-a857-9ea7c46386e9
514ed7cf-990a-466e-a307-cfe16121d28b
9f7bfd15-b5ef-482f-8358-594d94e1fadc
a5503774-59a1-4351-ae60-d495d1671db2
839a68ff-63cf-4659-a5b4-c4e5d9af72a5

More models from this creator

GPT Image 1.5 is OpenAI’s newest flagship image model powering the latest ChatGPT Images. It delivers significantly faster image generation with stronger instruction following, more precise edits that preserve original details, more believable transformations, and improved rendering of dense or small text. It is suited for practical creative workflows, detailed design tasks, and production use cases.

Sora 2 is OpenAI’s flagship generative model for video and audio. It accepts text prompts and generates visually rich clips with synchronized dialogue and sound. It improves physical realism and scene control. It also supports editing and extension of existing video inputs.

Sora 2 Pro is the higher quality Sora 2 variant for precision video work. It supports text prompts and image inputs. It outputs synchronized video with sound, higher resolution frames, and stronger temporal consistency. Ideal for production clips and demanding pipelines.

GPT Image 1 is OpenAI’s native GPT 4o image model. It creates detailed visuals from text prompts. It supports diverse styles and precise layouts. It can edit existing images with masks. It renders readable text in scenes. It suits design tools and production workflows.

DALL·E 2 is OpenAI’s diffusion based text to image model. It generates high quality images from prompts. It supports inpainting for local edits and outpainting for extended canvases. Developers use it through an API for creative tools, design workflows, and content pipelines.

OpenAI CLIP ViT-L/14 is a contrastive vision-language model that embeds images and text into a shared representation space. It enables tasks like zero-shot image classification, semantic search, and similarity scoring by computing aligned feature vectors for images and texts.