Can every parameter be translated exactly?

No. Platforms expose different controls, so things like Midjourney's --stylize have no direct SD equivalent. The translator converts what maps cleanly and lists unmapped parameters as notes so you can set them manually.

How does it handle Midjourney's --ar aspect ratio?

Aspect ratio is reported separately because SD and DALL·E set dimensions in the UI rather than the prompt. The translator shows the ratio so you can pick the matching width and height.

What changes when converting to Stable Diffusion?

SD supports weighted emphasis with parentheses, so descriptive phrases can become (token:1.2) style weights, and a negative-prompt suggestion is offered. Natural-language DALL·E prompts are broken into comma-separated tokens that SD parses more reliably.

Is my prompt sent anywhere?

No. Translation is pure text processing that runs entirely in your browser. Nothing is uploaded or stored.

What is the AI Image Prompt Translator?

Cross-platform image prompt translator. Convert a Midjourney prompt with parameters into Stable Diffusion weighted tokens, or rewrite a DALL·E natural-language prompt for SD, handling each platform's syntax differences automatically. It runs free in your browser on Gera Tools, with nothing uploaded.

AI Image Prompt Translator

Name: AI Image Prompt Translator
Creator: Gera Tools
License: https://creativecommons.org/licenses/by/4.0/

AI image prompt translator

The three big image platforms speak different dialects. Midjourney uses double-dash parameters (--ar 16:9, --stylize 250). Stable Diffusion rewards comma-separated tokens with parenthetical weights and a separate negative prompt. DALL·E prefers full natural-language sentences. A prompt tuned for one rarely transfers cleanly to another. This tool rewrites a prompt into the target platform’s conventions so you do not have to re-learn each syntax by hand.

The syntax differences, explained

Midjourney appends parameters as flags after the main prompt text. The most commonly used parameters include --ar (aspect ratio), --stylize (how strongly Midjourney applies its aesthetic), --chaos (variation between outputs), --quality (rendering effort), and --no (negative terms). For example: ethereal mountain lake at dawn, mist rising --ar 16:9 --stylize 200 --quality 1.

Stable Diffusion treats prompts as weighted token lists. Emphasis is added with parentheses: (dramatic lighting:1.3) gives that phrase 1.3× weight. Curly braces {red|blue} cycle between alternatives. The negative prompt is a separate field entirely. Long natural-language sentences are less effective than comma-separated descriptive tokens. For example: ethereal mountain lake, dawn light, mist, cinematic, photorealistic, sharp focus --neg blurry, oversaturated, ugly.

DALL-E 3 is designed for natural-language instructions and handles complex scene descriptions well. It does not use token weights or negative prompts. Precise spatial descriptions (“the mountain is reflected in the still lake, with a single pine tree in the left foreground”) tend to produce accurate compositions. For example: A misty mountain lake at dawn with warm golden light filtering through the fog. Photorealistic landscape photography style.

How it works

The translator first strips and parses any Midjourney-style --parameter flags from your input. The remaining descriptive text is then reformatted for the target platform: converting to SD produces comma-separated tokens with optional weighted emphasis like (dramatic lighting:1.2) plus a suggested negative prompt; converting to DALL·E joins tokens into a flowing sentence; converting to Midjourney appends the closest matching parameters. Anything that has no clean equivalent — aspect ratios, stylize values — is surfaced as a note rather than silently dropped.

What does not translate cleanly

Some parameters have no direct equivalent across platforms:

Midjourney --stylize has no counterpart in SD or DALL·E. Higher values push Midjourney toward its default aesthetic; this tendency is built into SD checkpoints and DALL·E’s training, not a parameter.
Midjourney --chaos (variation between grid images) has no equivalent. SD achieves variation via different seeds; DALL·E generates one image by default.
SD weight syntax does not transfer to DALL·E or Midjourney. The translator strips weights and converts emphasis back into adjectives or adverb phrases.

Tips and caveats

Treat the output as a strong first draft. Translation gets you 90% of the way; the last 10% is platform-specific taste you tune after the first render.
Set dimensions in the UI for SD and DALL·E. Neither reads aspect ratio from the prompt — use the reported ratio to choose width and height.
Use the negative prompt. When moving to Stable Diffusion, the suggested negatives (blurry, lowres, extra fingers) clean up common artifacts that Midjourney handles internally.
Re-balance weights. SD weights above ~1.4 can distort an image; start near the suggested values and adjust.