🛒 Midjourney's in-depth application solution for designers and creators covers core scenarios such as prompt word engineering, role consistency control, style migration, parameter tuning, batch generation, and commercial design applications, giving full play to Midjourney's leading advantages in the field of AI image generation.

Midjourney AI image creation in-depth solution

Module 1: Solution overview and scene positioning

1.1 What problem does the solution solve?

This solution helps designers, creative directors and content creators systematically master the full-link workflow from prompt word engineering to commercial delivery. It does not involve video generation pipelines, 3D modeling processes or professional printing output, focusing on the high-quality creation and large-scale delivery of still images.

Midjourney is currently one of the most artistically expressive AI image generation platforms in the world. Since its public beta in July 2022, it has iterated to the V7 model and continues to lead in composition aesthetics, light and shadow texture, and style diversity. According to public data in 2026, Midjourney's Discord community has more than 30 million members and millions of monthly active creators, covering multiple commercial application fields such as advertising creativity, game concept design, brand vision, film and television forward-looking, product design, fashion and architecture.

The value of this solution lies in upgrading Midjourney from "generating beautiful pictures" to a "controllable, reproducible, and scalable" creation tool. Core benefits include:

• Concept exploration efficiency improved by 10x+: The cycle from demand docking to first draft output is compressed from days to dozens of minutes
• Controllable style consistency: achieve consistent output of series works through parameters such as style reference (--sref), character reference (--cref)
• Batch output standardization: Cooperate with parameter templates and post-production tools to achieve the same style and multiple versions of the material matrix
• Reduce communication rework: Non-designers can also use Midjourney to quickly produce visual references and reduce information loss in demand communication.

1.2 Applicable Boundary

1.3 Preconditions

• Have a Midjourney subscription account (Basic version starts at $10/month; Pro version starts at $60/month)
• Stable access to the Discord platform or Midjourney Alpha web interface
• Have basic judgment on image aesthetics and understand design languages such as composition, light and shadow, and color
• There is a post-processing tool (recommended Canva AI or Photoshop) for output refinement

1.4 Toolchain Overview

Tools	Core Purpose	Cost Reference	Role in the Solution
Midjourney	Image generation core	$10–60/month	Main engine: concept exploration, style experimentation, batch output
ChatGPT	Prompt word engineering assistance	Free / $20/month	Assistant: dismantle requirements, generate prompt word templates, and polish translation
Canva AI	Post-refinement and typesetting	Free / $13/month	Refinement: size adaptation, text overlay, color correction
Leonardo AI	Supplementary generation and model expansion	Free / pay as you go	Supplement: generated materials, AI Canvas partial editing
Stable Diffusion	Local debugging of open source models	Free (graphics card required)	Alternative: local privatized deployment and ComfyUI workflow
D-ID	Convert static image to digital human video	Free / pay as you go	Extension: Convert Midjourney character image to dynamic spoken video

Module 2: Prompt word project - structured translation from text to visual

Prompt words are a core input to the Midjourney workflow. An excellent prompt is not "writing", but structured translation: decomposing the design requirements into dimensions such as subject, environment, style, composition, lighting, texture, etc., and then converting them into semantic codes that Midjourney can understand.

2.1 Five-element framework of prompt words

Each effective prompt word should contain the following five dimensions of information:

Professional practice tip: First use ChatGPT to translate and disassemble the Chinese requirements into English fragments in these five dimensions, and then splice them into complete prompt words. This not only improves efficiency but also reduces semantic bias caused by non-native speakers.

2.2 Prompt word template and variant management

Establishing a personal prompt word template library is the starting point for large-scale output. It is recommended to manage according to the following categories:

📁 prompts/
├── characters/ # character class
│ ├── fantasy-warrior.md
│ └── sci-fi-soldier.md
├── products/ # product rendering
│ ├── skincare-bottle.md
│ └── sneaker-showcase.md
├── environments/ # Environment concept
│ ├── futuristic-city.md
│ └── forest-temple.md
└── styles/ # Style reference
    ├── watercolor.md
    └── cyberpunk-neon.md

Recorded in each template file: Basic prompt words, Key parameters, Style reference picture link, Variant rules (for example, 3-5 variants can be derived after replacing the subject/environment).

2.3 Prompt word iteration SOP

Requirement input → Five-factor dismantling → Initial generation → Evaluation (unsatisfactory dimensions) →
Lock in 1-2 dimensions that are not satisfactory → targeted modifications → regeneration → cycle until acceptance is met.

Gate control: Only 1–2 variables are modified in each round of iteration to avoid simultaneous changes in multiple variables resulting in inattribution. It is recommended to use the --seed parameter to fix the initial random seed to make iterations comparable.

2.4 Common prompt word traps and corrections

Module 3: Style Control and Reference Picture System

Midjourney V6/V7 provides a powerful style reference mechanism, which is the core tool for achieving brand consistency and style reuse.

3.1 Style reference (--sref)

The --sref parameter allows you to upload one or more reference images as a style source. Midjourney will extract the color, texture and composition logic and apply it to the current generation.

Usage Example:

/imagine prompt: a luxury watch on marble surface --sref https://example.com/style-ref.jpg --sw 100

The --sw (Style Weight) parameter controls the strength of the reference style, range 0–1000, default 100.

Practical Suggestions:

• Single image reference: suitable for a single source with a clear style (such as color palette in a brand guide)
• Multiple picture reference (2-5 pictures): Separate URLs with spaces, Midjourney automatically integrates style features
• Style weight strategy: If you want the generated results to be closer to the reference image style, set --sw 200–400; if you want more freedom, set --sw 50–100

3.2 Role reference (--cref)

The --cref parameter achieves cross-generated character consistency, which is the core capability for building IP characters and series advertising characters.

Usage Example:

/imagine prompt: the character wearing a business suit, standing in a modern office --cref https://example.com/character.jpg --cw 50

--cw (Consistency Weight) controls the character consistency strength, ranging from 0–100:

• --cw 100: Strictly preserve the character's face, body shape and clothing
• --cw 50: retain facial features + some clothing, adapt to new scenes
• --cw 0: Only facial features are retained, clothing and environment are completely controlled by prompt words

Character library management suggestions: Create a character reference drawing folder for each project and record the best value of --cw for each --cref drawing. Special note: Reference pictures of the same character in different scenes, lighting, and angles should be collected from 3–5 different angles so that Midjourney can understand the "three-dimensional sense" of the character and reduce the problem of repeatedly generating the same angle.

3.3 Image Prompts

Paste the image URL directly into the prompt (no parameter prefix required), and Midjourney will use the image as a comprehensive reference for composition, color, and subject, working together with the text prompt.

Best Practice:

• The weight of the image prompt is determined by the position of the picture in the prompt word: the closer it is, the greater the weight.
• Combination strategy: the first picture is for composition reference, the second picture is for style reference, and text prompts describe the specific subject.
• Image prompt + --iw (Image Weight) parameter controls image influence, range 0.5–2.0, default 1.0

3.4 Style migration workflow (concept exploration stage)

Project positioning → Collect 3-5 style reference pictures → Test --sref fusion effect →
Adjust --sw to desired style strength → output style finalization →
Use this final style as a fixed style source to switch different subjects to generate a series of works

Gate Control: The final style needs to be tested by at least 3 different subjects to ensure style stability and not coincidental matching. After passing the test, it can be locked as the project style source.

Module 4: Parameter tuning and advanced control

Midjourney's parameter system directly affects output quality and control accuracy. The following are the most commonly used and most practical parameters.

4.1 Core Parameters Cheat Sheet

4.2 Parameter combination strategy

Realistic Photography Style:

--ar 3:2 --s 50 --v 7 --style raw

--style raw reduces Midjourney's default stylization and beautification, closer to the direct-photography effect.

Concept Art Style:

--ar 16:9 --s 600 --chaos 40 --v 7

High stylization + medium chaos, good for exploring unconventional conceptual compositions.

Simple style of e-commerce products:

--ar 1:1 --s 100 --v 7 --style raw

Low stylization + --style raw + neutral light description, suitable for product white background or studio shooting style.

4.3 Seed control and version backtracking

--seed is a key control tool in iterative workflows:

1. First generation: record the seed numbers of 4 results
2. Lock the target seed: use --seed [number] to modify 1-2 elements in the prompt word
3. Fine-tuning iteration: with a fixed seed, gradually adjust --s or --sw and observe the changes.
4. Version archiving: record the seeds, parameters and prompt words of each iteration round together

Access Control: After setting the seed lock, only single variable modification is allowed. When it is found that the effect has declined, immediately return to the seed and parameter combination of the previous step without continuing to superimpose modifications.

4.4 Version model selection

Module 5: Commercial design scenario practice

5.1 Brand advertising visual production

Scenario description: A tea drink brand needs a series of key visuals for the launch of new products in spring, covering posters, social media and e-commerce banners.

Execution process:

1. Brand style finalization (1 day)

   • Collect color and logo reference images from the brand VI manual
   • Use --sref to test 3 sets of style references and lock 1 set
   • Output final brand style

2. Product image generation (2 days)

   • Use --cref to refer to existing product images to generate new product images from different angles and scenarios.
   • Core prompt words: a glass of pink grapefruit green tea with ice cubes, natural sunlight, top view --ar 1:1 --s 100 --v 7 --style raw
   • Generate 4 variants per angle, select the best one and lock the fine-tuning with --seed

3. Scene Graph Extension (2 days)

   • Construct different usage scenarios: outdoor picnic, cafe, home office
   • Keep --sref to finalize brand style, replace body and environment descriptions

4. Multiple size adaptation (1 day)

   • Midjourney generates main image (--ar 16:9, --ar 1:1, --ar 9:16)
   • Import Canva AI to add copywriting and brand elements

Delivery: 3 scenes × 3 sizes = 9 final materials, suitable for Douyin, Xiaohongshu, Moments and e-commerce main images.

Acceptance Criteria: Each material must pass the color specification verification of the brand team (Pantone value deviation is within the acceptable range), and the copywriting layout must comply with the brand VI design specifications.

5.2 Game character concept design

Scenario Description: An open world RPG game requires conceptual design drawings of 5 core characters.

Execution process:

1. Character text setting (aligned with planning)

   • Compile a 100–200-word setting document for each character: appearance, personality, clothing, weapons, and background story
   • Use ChatGPT to break down settings into five elements of prompt words

2. Initial Exploration (3 days)

   • Generate 8–16 versions of each character, --chaos 60 for extensive exploration
   • Team review selects 2–3 directions

3. Character finalization (2 days)

   • Select the direction to reduce the variability of the prompt word, --chaos 10
   • Use --cref to fix character facial and body features
   • Multi-angle output: front, 3/4 side, back, action posture

4. Character library archive

   • Each character is saved: front standard image + 3/4 side + whole body + expression set (emotions, anger, sorrow and joy)
   • Record the --cref reference map path and --cw optimal value for each character

Key Tips: The most common pain point in game character concept design is "character inconsistency from different angles". The solution is: create 3–5 reference galleries from different angles for each character, and use them alternately in --cref to help the model establish a "three-dimensional understanding" of the character. If it is still inconsistent, you can import the Midjourney output into Leonardo AI for partial correction.

5.3 E-commerce product video cover and material matrix

Scenario description: The cross-border e-commerce team needs to produce 200+ product display pictures every month, covering Amazon, Shopify, TikTok Shop and other channels.

Execution process:

1. Product Photoshoot Alternative (Ongoing)

   • Use Midjourney to generate high-definition product scene images to replace part of the cost of outdoor shooting
   • Prompt word focus: material details (leather texture, metal reflection, fabric wrinkles)

2. Multi-Color/Multi-Specification Variants (Batch Mode)

   • Fixed composition and scene prompt words, replacing color or specification words in the main body
   • Use --seed to fix the seed and only modify the color descriptor
   • Use script to automatically name archives after batch generation

3. A+ content material (on demand)

   • Generate lifestyle scene diagrams (scenarios of products in use)
   • Detailed close-up pictures (enlarged parts of product materials and functional details)

Cost comparison: Traditional outdoor shooting costs 500-2000 yuan per product, while the Midjourney solution costs about 10-30 yuan per product (including subscription fee amortization + later adjustment time).

5.4 Pre-film and television concept design

Scene description: In the early stage of film and television projects, scene concept drawings need to be quickly produced for pitch and budget evaluation.

Execution process:

1. Script scene extraction (1 day)

   • Split the script into key scene nodes
   • Extract each scene: time, location, lighting, mood, reference film style

2. Style Moodboard (2 days)

   • Collect screenshots and artwork that reference movies
   • Use --sref to blend to form a unique visual tone for the project

3. Keyframe Generation (3–5 days)

   • Generate 4–8 concept versions of each key scenario
   • Annotation: lens angle, focal length recommendation, lighting direction
   • These outputs can be used directly as a reference for communication between DIT and DP

4. Character styling test (2 days)

   • Use --cref to test different actor/character styling options
   • Change clothing, hairstyle, makeup, and preview the screen effect

Acceptance Criteria: The concept drawing must be accompanied by a description of technical parameters (lens focal length, ISO sensitivity, light color temperature, etc.) for the shooting team to directly use as a reference for lighting and camera settings.

Module 6: Batch generation, post-production collaboration and asset management

6.1 Batch generation strategy

When a large amount of output (50+ sheets/day) is required, manually entering prompt words one by one is too inefficient. The following is a practical batch strategy:

Strategy 1: Prompt word template + variable substitution

Base: "a [PRODUCT] on [SURFACE], [LIGHTING], product photography --ar 3:2 --s 100 --v 7"
Variables:
  PRODUCT: "minimalist white sneaker" | "leather tote bag" | "wireless earbuds case"
  SURFACE: "concrete floor" | "wooden table" | "marble countertop"
  LIGHTING: "soft studio light, clean background" | "warm golden hour side light"

Each combination = 1 build, entered manually in batches or via Discord Bot automation.

Strategy 2: Upscale first + Remix expansion

• Extensively generated in the first round to select the best composition
• Use the Remix function after Upscale to modify 1-2 keywords in the prompt words
• Keep the composition the same, only replace style, color or secondary elements
• A single Upscale graph can derive 6–10 variants

6.2 Post-refinement collaboration process

Midjourney's output requires post-adjustment in most business scenarios. The following is a standard collaborative pipeline:

Midjourney raw output
  → Upscale (Upscale 2x / 4x, Pro subscription required)
  → Import into Canva AI/Photoshop
  → Execution: size cropping, color correction, copywriting overlay, local defect repair
  → Output final deliverables

Commonly used post-operations:

• Background removal: Use Canva AI's automatic background removal tool to extract the subject
• Color Match: Adjust color temperature, saturation and contrast to match your brand palette
• Text Overlay: Midjourney is not good at generating text, all copy must be added in post-production tools
• Partial Repair: Midjourney sometimes has distortion in details (finger, logo, text), use post-processing tools to repair it

6.3 Asset naming and management specifications

To prevent confusion during the delivery phase, it is recommended to establish the following file naming rules:

{Project code}_{Type}_{Number}_{Version}_{Resolution}.png
Example: spring2025_poster_01_v3_4k.png

Classification archive structure:

📁 deliveries/
├── spring-campaign-2025/
│ ├── poster/
│ │ ├── spring2025_poster_01_v3_4k.png
│ │ └── spring2025_poster_02_v1_4k.png
│ ├── social/
│ │ ├── spring2025_ig_01_v2_1080.png
│ │ └── spring2025_tiktok_01_v2_1080.png
│ └── prompts/
│ └── spring2025_prompts_template.md

Each project directory has a prompts/ subdirectory to save complete prompt words + parameter records for later reproduction or modification.

6.4 Extended integration with D-ID

Import the static character diagram generated by Midjourney into D-ID to quickly generate a digital spoken video. The process is as follows:

1. Midjourney generates a frontal portrait of the character (--ar 9:16, an upright half-body composition is recommended)
2. Remove background in Canva AI
3. Import D-ID and add copywriting scripts and sounds
4. Output as short video content (TikTok / Reels / customer service instructions)

This combination is particularly suitable for: virtual anchors, product description videos, and brand IP character linkage.

Module 7: Implementation cycle, team configuration and risk control

7.1 Phased implementation plan

7.2 Team role configuration

A single-person team can cover the above responsibilities through reasonable scheduling, focusing on the two-line parallel rhythm of "demand dismantling + main operation".

7.3 Risk Control and Access Control

7.4 Investment Analysis

7.5 FAQ

Q: How to choose between Midjourney and Stable Diffusion? A: Midjourney excels in its high quality and artistic feel out of the box, making it suitable for rapid production and style exploration. Stable Diffusion excels in open source controllability and ComfyUI workflow, which is suitable for scenarios that require fine control of local generation. It is recommended that commercial projects use Midjourney as the main tool, and complex synthesis scenes should be supplemented by SD.

Q: How to solve the hand/detail defects generated by Midjourney? A: Midjourney V7 has greatly improved hand accuracy, but still has occasional issues. Solution: Add a hand/detail description to the prompt word (such as "hands in pockets" to hide the hands); or use Photoshop AI to repair it later; you can also import the picture into Leonardo AI and use AI Canvas to partially redraw it.

Q: How to maintain style consistency when using the same brand for a long time? A: Establish three core assets: (1) Brand style reference library (--sref picture), which is referenced every time it is generated; (2) Brand parameter template (lock --s, --sw, --style raw, etc.) to ensure parameter level consistency; (3) Brand product/role reference library (--cref picture) to maintain the series image.

Q: How to share Midjourney assets in team collaboration? A: Recommended solution: Open a team-specific channel in the Discord server, and all generated records will be automatically retained. At the same time, a prompt word database is established in Notion or Feishu, so that team members can reuse and iterate. The Relax mode of Pro subscription is suitable for multiple team members working at the same time.

Q: How to reduce costs when producing in batches? A: Use Relax mode (unlimited generation, but queuing time) instead of Fast mode (billed by GPU time). First use the Relax mode to find the optimal direction through a lot of trial and error, and then use the Fast mode to quickly produce the final version.

7.6 Summary of advantages and disadvantages

Advantages:

• Works out of the box, no GPU hardware investment required
• Artistic expression and compositional aesthetics rank first among AI image generation tools
• The style reference (--sref) and role reference (--cref) mechanisms are mature
• The community ecology is active, with rich prompt word resources and teaching
• Model iteration continues to lead, V7 has solved a large number of pain points in earlier versions

Limitations:

• Runs in closed source cloud and cannot be deployed locally
• Not good at accurate text generation and logical arrangement
• The detail control under high stylization is not as fine as ComfyUI
• Depends on the Discord ecosystem, requiring additional bridges to integrate with enterprise design systems
• The subscription fee is lower than SD self-hosting but higher than the free quota of some competing products

7.7 Outlook

Midjourney is evolving from a "high-performance image generation model" to a "full-featured visual creation platform". The launch of the Alpha Web version (supporting image editing, canvas interaction, team collaboration) means that future workflows can be independent of Discord. Combined with built-in editor, partial redraw, prompt word search and other functions, Midjourney is gradually covering the complete link from concept sketch to finished product delivery. For designers and creative teams, there’s never been a better time to build Midjourney’s workflow capabilities.