DALL-E Prompts

How to write master prompts
for DALL-E 3

DALL-E works with natural language - no special parameters or syntax needed. Learn how ChatGPT Custom Instructions influence DALL-E output and how to structure prompts for consistent, high-quality image generation.

⏱ 8 min read Updated 2026 Works with DALL-E 3 via ChatGPT and API
Quick start

How to write a DALL-E master prompt

DALL-E uses natural language - here is the fastest way to get consistent, high-quality outputs.

1
Add image style preferences to your ChatGPT Custom Instructions - preferred style, aspect ratio, what to avoid
2
Describe in natural language: subject → style → lighting → mood → technical preferences
3
End with "Do not include: [unwanted elements]" - DALL-E follows this very reliably
4
For API access, use the OpenAI image generation endpoint with a system parameter for full control
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To start
DALL-E via ChatGPT — how Custom Instructions influence image generation
DALL-E — ChatGPT Custom Instructions → rewritten prompt → DALL-EYou are working with [Name], a [role]. Communicate in a [tone] style.Always [key behavior]. Never [key restriction]. Format output as [format].Writing sample / context: [paste relevant details here]...

How DALL-E handles system prompts differently

DALL-E does not have a standalone persistent system prompt field in the standard interface, but your ChatGPT Custom Instructions directly influence DALL-E 3 outputs when you generate images through ChatGPT. DALL-E also fundamentally uses natural language rather than the parameter syntax Midjourney requires, making it more accessible but requiring different prompting techniques.

ChatGPT rewrites your image prompts
When you ask ChatGPT to generate an image, it rewrites your request using your Custom Instructions as context before sending to DALL-E. A system prompt with image style preferences, aspect ratio defaults, and elements to avoid will be applied to every image generation request automatically.

How to write effective DALL-E prompts

Use natural language, not keywords

DALL-E is trained on descriptive text. "A photorealistic portrait of a woman in her 30s, soft natural window light from the left, shallow depth of field, neutral background" outperforms a keyword list in DALL-E. Descriptive sentences with specific technical details produce more consistent results.

Use negative instructions reliably

DALL-E follows "Do not include:" instructions more reliably than most image generation models. End prompts with specific exclusions: "Do not include text, watermarks, borders, or logos."

Leverage ChatGPT's rewriting

Because ChatGPT rewrites your image requests before sending to DALL-E, you can use conversational language. ChatGPT will expand it using your Custom Instructions context into a full DALL-E prompt.

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DALL-E-specific tip
Ask ChatGPT to "show me the DALL-E prompt you used" after each generation. This reveals exactly what was sent to DALL-E, letting you refine your Custom Instructions to produce better automatic prompt rewrites over time.

System prompt vs master prompt vs user prompt for DALL-E

LayerDALL-E equivalentWhat it controlsChanges
System promptChatGPT Custom Instructions (image section) or API system parameterDefault style, orientation, and avoidance rulesMonthly or per project
Master promptBase style template appended to each promptVisual identity in natural languageRarely
User promptSubject description for each generationWhat is in the imageEvery generation

Common questions

How is DALL-E different from Midjourney?

DALL-E uses natural language descriptions and follows negative instructions very reliably. Midjourney uses comma-separated keywords and parameter flags and tends to produce more stylistically artistic outputs by default. See our Midjourney guide for a direct comparison.

Can I generate consistent characters across multiple images in DALL-E?

DALL-E 3 does not have a native character reference feature like Midjourney's --cref. The best approach is very detailed physical descriptions in all subsequent prompts featuring that character.

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