midjourney-v8-prompt

Midjourney v8.1 Prompt Builder — keyword+parameters + 3-model simultaneous output

moai-media | Image Prompt Builder (text output only)

Overview

Midjourney v8 Alpha (released 2026.03.17) and v8.1 (announced 2026.03.21) introduce 5x faster generation, native 2K (--hd), extra coherence (--q 4), improved text rendering, --stylize recommended up to 1000, new --sv 7 Style Reference and Moodboards models. This skill converts a user's one-line request into a structure based on the Midjourney official Parameter List:

[subject], [scene keywords], [composition], [lighting], [style]
--ar W:H --style raw --hd --q 4 --s 0~1000
[--sref CODE|URL --sw N] [--oref URL --cw 0~100]
[--p PROFILE] [--no NEGATIVE] [--c 0~100]

In particular, this skill:

3-model simultaneous output: Midjourney main + GPT-image-2 (6-Block) + Gemini 3 Pro Image (5-component)
Presets + fine-tuning: 4 presets × 4 slots
Automated pitfall warnings: --cw 100 default value pitfalls, --hd + --q 4 + --sref = 4x cost, --cref deprecated
Personalization integration: --p PROFILE_ID or --profile PROFILE_ID guidance
Style Code library: --sref CODE reference to frequently used codes

Trigger keywords

Midjourney prompt MJ prompt Midjourney prompt imagine prompt Midjourney v8 Midjourney 8.1 sref prompt oref prompt style code prompt personalization profile

Workflow

사용자 자연어 한 줄
    ↓
[Round 1] AskUserQuestion — 프리셋 선택
    ↓
[Round 2] AskUserQuestion — 프리셋별 미세조정 (3~4 슬롯)
    ↓
[Round 3] AskUserQuestion — 화면비 + 텍스트 + 고급 옵션(--sref·--oref·--p·--no)
    ↓
[내부] 슬롯 → 키워드 콤마 + --파라미터 매핑
    ↓
[내부] 같은 슬롯 → GPT 6-Block + Gemini 5-component 변환
    ↓
[내부] 함정 검사 (--cw 100·4x cost·v8 비호환 옵션)
    ↓
출력: 3개 모델 프롬프트 + 비용 경고 + 한국어 해설

Execution rules

Round 1 — Preset selection (required)

presets/Choose from the 4 presets (product shot, portrait, illustration, landscape). Shares the same slot data as gpt-image-2-prompt.

Round 2 — Per-preset fine-tuning (3-4 questions)

presets/<name>.md Follows the slot definitions.

Round 3 — Aspect ratio + text + advanced options

Q1 — Aspect ratio (`--ar`)

Aspect ratio	`--ar`	Purpose
1:1 (recommended)	`--ar 1:1`	SNS square
16:9	`--ar 16:9`	Wide, YouTube
9:16	`--ar 9:16`	Reels·Shorts
4:5	`--ar 4:5`	Instagram feed
3:2	`--ar 3:2`	Photo standard
2:3	`--ar 2:3`	Book cover

Q2 — Quality·Style (`--hd`, `--q`, `--style`, `--s`)

Option	Behavior	Cost
Default	Standard quality·auto style	1x
`--style raw`	Natural color·photographic, minimal model intervention	1x
`--hd`	native 2K	4x
`--q 4`	extra coherence	4x
`--hd --q 4`	둘 다	16x ⚠️
`--s 0~1000`	stylize (default 100)	Same

Cost caution: --hd + --q 4 + --sref/moodboard combinations are 4x each cost (multiplicative). For detailed pitfalls, see references/cost-traps.md.

Q3 — Text (when there is text in the image)

Midjourney v8 has improved text rendering over V6/V7, but it is not as accurate as GPT/Gemini. Recommended:

Text exactly in quotes: "MONDAY"
Focus on short words/short phrases (long sentences risk breaking)
English is more stable than Korean

Q4 — Advanced options (optional)

AskUserQuestionSelect additional options with:

Options	Usage	Notes
Style Reference (`--sref`)	Specific style code or reference URL	4x cost, `--sw 0~1000` together
Omni Reference (`--oref`)	Character/object consistency	2x cost, `--cw 0~100` traps (default 100)
Personalization (`--p`)	User learning profile	Requires prior setup (starts at 40 ratings, 200 stable, 2000 max)
Negative (`--no`)	Elements to exclude	예: `--no people, --no text`
Chaos (`--c 0~100`)	Result diversity	For drafts

For detailed usage, see references/style-references.md.

Internal processing — keyword commas + --parameter mapping

[subject], [scene keywords], [composition keywords],
[lighting keywords], [style/medium keywords] --ar W:H
--style raw --hd --q 4 --s 250

references/prompt-blocks.md's keyword classification guide.

Internal processing — trap checks

This skill automatically checks the following before output and includes warnings in the Korean explanation:

--cw If unspecified → "Default 100. To bring only the face, --cw 20~40" guidance
--hd --q 4 --sref combination → "4x cost each, 64x total GPU time" warning
v8-incompatible options (--cref, V6 specific, etc.) → auto-removed or deprecated note
--sref random → results not reproducible, code verification guidance

Output — 3 model code blocks

## 🎨 생성된 프롬프트 (3개 모델)

### 1) Midjourney v8.1 (메인)

, , , , --ar 1:1 --style raw --hd --q 4 --s 300

**비용 추정**: `--hd` 4x × `--q 4` 4x = 16x GPU 시간 (relax 모드 권장)
**Personalization 활용**: `--p YOUR_PROFILE_ID` 추가 시 일관된 스타일

### 2) GPT-image-2 — OpenAI ChatGPT / API

<6-Block natural language paragraph>

**권장 파라미터**: `quality=medium`, `size=1024x1024`

### 3) Gemini 3 Pro Image — Nano Banana Pro

<5-component English sentence>

**권장 파라미터**: `aspect_ratio=1:1`, `resolution=2K`, `mode=Thinking`

### 📝 한국어 해설
- Midjourney v8은 키워드 콤마 + `--파라미터` 어조에 최적화
- 텍스트 정확도: GPT/Gemini > MJ. 긴 글자는 GPT 권장
- `--cw 100` 함정: reference 이미지의 조명·스타일까지 상속됨

### 🔗 페어 스킬
- `gpt-image-2-prompt` — GPT 어조 (sibling)
- `gemini-3-image-prompt` — Gemini 어조 (sibling)
- Midjourney 실행은 Discord `/imagine` 또는 alpha.midjourney.com에서 직접

Usage examples

Example 1: Product shot

"Midjourney prompt, matte black mug 'MONDAY' text product shot, 1:1, --hd"

→ Round 1: product shot → Round 2: mug/slate/window/3-4 minutes → Round 3: 1:1 + "MONDAY" + --hd activated → 3 model outputs + 4x cost warning.

Example 2: Character consistency (--oref)

"Midjourney prompt same character different scene, --oref [URL] --cw 50"

→ person/character preset → Round 2 → in Round 3 --oref URL + --cw 50 input → in output --oref workflow Korean explanation + --cw guide.

Example 3: Style Reference

"MJ prompt --sref 1234567890 --sw 200"

→ Round 1·2 → in Round 3 sref code + sw input → in output 4x cost warning + --sv 7 default note.

Output format

Deliverable	Format	Description
Midjourney v8.1 prompt	keyword commas + `--파라미터` 한 줄	Discord `/imagine` or alpha.midjourney.com input
GPT-image-2 prompt	English 6-Block natural language paragraph	ChatGPT / API copy-paste
Gemini 3 Pro Image prompt	English 5-component paragraph	Google AI Studio / Vertex AI copy-paste
Cost estimate	Multiplier (e.g., 16x)	--hd·--q·--sref·--oref combination
Korean explanation	Markdown	traps·--cw·--sv·-personalization

Precautions

This skill prompt text only Output. Actual image generation must be run directly in Discord or on alpha.midjourney.com (Midjourney official API automation restrictions).
--cref (V6 character consistency) in V7/V8 is deprecated. --orefautomatically replaced with.
--cw 100(default) Pitfall: even the lighting and style of the reference image are inherited, causing conflicts with new prompts. To use only the face, --cw 20~40.
--hd·--q 4·--sref/moodboard each 4x cost. When combined, multiplicative.
--oref는 Fast Mode·Draft Mode·Conversational Mode·--q 4and incompatible.
V8 Alpha initially did not support Relax Mode, but it was gradually added in V8.1. If cost-sensitive, check Relax availability.
--sref randomresults are not reproducible. If you get a result you like, check and save the actual code.
Personalization (--p) starts at 40 ratings, becomes stable at 200 ratings, and improves up to 2000 ratings.
All output images are used at the user's responsibility (copyright, portrait rights, brand).

Related Skills

Skill	Relationship	Description
gpt-image-2-prompt	sibling	GPT 6-Block tone prompt with the same input
gemini-3-image-prompt	sibling	Gemini 5-component tone prompt with the same input
Higgsfield MCP (Soul)	alternative	API auto-generation (cinematic image/character unified single integration, MJ not included)

Sources

Primary recommended sources (official):

Industry references:

Based on the above sources, V8.1 parameters, --sref/--oref behavior, --cw pitfalls, the 4x cost matrix, Personalization rating stages, and V8-incompatible options were derived.