An image prompt is not a universal command language. The same visual idea can work in Midjourney, ChatGPT or DALL-E, Stable Diffusion, and FLUX, but each tool expects the instruction to be expressed a little differently. Start with the result you need, then use ToolStacky’s AI Prompt Generator to create a target-aware first draft instead of pasting one model’s special syntax into another.
Midjourney vs ChatGPT/DALL-E vs Stable Diffusion/FLUX: Image Prompt Formats
All image models need the same useful information: a subject, setting, composition, style or medium, lighting, mood, and the important things to avoid. The difference is how their interface receives that information. Midjourney commonly uses a compact visual description with its own parameters; ChatGPT and DALL-E work best with a clear natural-language brief; and Stable Diffusion or FLUX workflows can split the request into positive and negative fields.
Think of the prompt as a creative brief, not a magic spell. More adjectives do not automatically create a better picture. A short, specific instruction with a clear subject and purpose is usually easier to refine than a long list of conflicting style words.
Start with the parts every model needs
Before choosing a format, write the idea in ordinary language. Include only details that affect the image you need:
- Subject: who or what should appear?
- Setting and action: where is it, and what is happening?
- Composition: close-up, overhead view, wide scene, centered product shot, or another framing choice.
- Visual direction: photograph, watercolor, product illustration, film still, or another medium; then lighting and mood.
- Practical constraints: the intended shape, empty space for a headline, no logos, or a background that can be removed later.
If the finished picture needs a social-media ratio or room for a caption, say so early. You can refine the delivered file afterwards with ToolStacky’s Image Cropper, but a deliberate composition makes that work easier.
How the prompt formats differ
Midjourney: compact visual direction plus its own parameters
Midjourney prompts are often concise, visual, and comma-separated. Lead with the main subject, then add the setting, camera or composition choices, and visual qualities that matter most. Its parameters are specific to Midjourney: for example, a documented aspect-ratio parameter can set a starting shape, while --no is used for exclusions. Check the current Midjourney interface and documentation before relying on a parameter, because supported options can change.
Avoid treating parameters as decoration. A useful --ar choice describes the delivery shape; a useful --no removes a concrete unwanted element. Adding many unrelated flags can make a simple brief harder to control.
ChatGPT and DALL-E: a natural-language art brief
For ChatGPT or DALL-E, write as though you are briefing a designer. State what to create, where the viewer’s attention should go, the intended style, and the constraints in plain sentences. Do not assume that Midjourney flags such as --ar or --no mean anything there. Rather than a separate negative-prompt syntax, say what you want to avoid in the request itself.
Natural language is also useful for trade-offs: for example, ask for a clean background with room for a headline, a realistic but not identifiable person, or a product image that does not imitate a particular brand. The service can still change or refuse a request under its own safety rules, and no prompt can guarantee an exact result.
Stable Diffusion and FLUX: follow the workflow’s fields
Many Stable Diffusion interfaces expose a positive prompt for what should appear and a negative prompt for common problems to avoid. Put the desired subject and style in the positive field; use the negative field for short, relevant exclusions such as unreadable text, watermarks, or an unwanted object. The exact controls vary by website, model, checkpoint, and workflow.
FLUX is not simply another name for Stable Diffusion. Some FLUX tools offer a negative-prompt field, while others do not and respond better to a straightforward sentence-like description. If your chosen FLUX interface has no negative field, move the important constraint into the main instruction instead of pasting a Stable Diffusion-only format blindly.
One brief, shown three ways
Suppose you need a wide hero image for an article about independent bookshops: a rainy evening exterior, warm window light, no readable store signs, and room for a heading. The core brief stays the same; the delivery changes.
Midjourney
independent bookshop exterior at dusk, gentle rain on a quiet street,
warm window light, editorial travel photograph, eye-level wide composition,
clear dark space in the upper left for a headline --ar 16:9 --no readable text, logosChatGPT or DALL-E
Create a wide editorial travel photograph of an independent bookshop exterior
at dusk on a quiet rainy street. Use warm window light and an eye-level view.
Leave clean, darker space in the upper left for a headline. Do not include
legible store signs, logos, or watermark-like text.Stable Diffusion or a FLUX workflow with two fields
Positive prompt: independent bookshop exterior at dusk, quiet rainy street,
warm window light, editorial travel photograph, eye-level wide composition,
clear dark space in the upper left for a headline
Negative prompt: readable text, logos, watermarkThe examples are starting points, not a guarantee. If the Stable Diffusion or FLUX tool has only one prompt box, use the positive description and add a plain-language constraint such as “without readable signs or logos.” If a ChatGPT or DALL-E result has the wrong shape, use the service’s available size or framing options as well as the written instruction.
What prompts cannot reliably control
Prompting improves the odds of a useful image; it does not give pixel-perfect control. Results can change with the selected model, model version, seed, generation settings, safety policies, and the tool’s current interface. Generated lettering is especially unreliable, so add headlines in a design tool when accuracy matters. Ask for an empty area rather than asking the model to spell a campaign message exactly.
Likewise, do not promise a client that a model will reproduce a real location, a person, a product, or a copyrighted style exactly. Use references only when you have permission to use them, review the result before publishing, and avoid requests that could mislead viewers about a real event or person.
Prepare the final image after generation
Generation is usually the first stage, not the last. Crop the best version to its delivery ratio with the Image Cropper, then use the Image Converter to choose a suitable format. For a web upload or email attachment, make a separate smaller copy with the Compress Image tool and inspect it at normal viewing size.
Keep the original generation and the final exported file separately. A later crop, conversion, or compression should not force you to regenerate an image that was otherwise useful.
Privacy and sensitive briefs
ToolStacky’s AI Prompt Generator only builds prompt text in your browser and does not upload what you type. Once you paste that text into an external AI service, that service’s own privacy, retention, and training policies apply. Read them before using the service for work or client material.
Do not paste passwords, private keys, bank details, identity documents, private photos, confidential client notes, or unpublished product plans into a third-party model unless you have clear permission and understand how the service handles the data. A prompt can be useful without containing every sensitive detail; replace names and private facts with neutral placeholders whenever possible.
Frequently asked questions
Can I use the exact same image prompt in every AI tool?
Use the same underlying brief, but adapt the syntax. Midjourney parameters do not automatically work in ChatGPT or DALL-E, and a separate negative prompt only belongs where the chosen Stable Diffusion or FLUX interface provides one.
Are negative prompts always necessary?
No. Use exclusions only for a problem that matters to the image. A short negative list can help in a workflow that supports it, but an overly long list may distract from the main subject. In a one-box tool, write the important restriction as a normal sentence.
Can an image prompt guarantee correct text in a picture?
No. Image generators can produce inaccurate or distorted lettering. If the wording must be exact, generate a clean area for it and add the real text afterwards in a graphics or page-design tool.
Does the AI Prompt Generator create an image?
No. It helps you organize a clear prompt locally in your browser. Copy the result into the image model you choose, then review and refine the image there.