🛒 Jimeng AI in-depth application solutions for designers and creators cover core scenarios such as text-based pictures, picture-based pictures, style transfer, Chinese prompt word optimization, batch generation, and commercial design applications, taking advantage of Jimeng's in-depth understanding of Chinese semantics.

Jimeng 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 operations and content creators systematically master the full-link AI image creation workflow from Chinese drawings to edited films. It does not involve 3D modeling pipelines, professional printing output or pure video post-production processes, and focuses on high-quality generation, style control and large-scale delivery of static images.

Jimeng AI is an AI visual generation platform owned by ByteDance, positioning itself as a "one-stop AI creation portal" for creators. The biggest difference from similar overseas tools lies in three points: Chinese semantic understanding depth - Jimeng's parsing accuracy of Chinese prompt words is significantly better than most English-based generation tools; Ecosystem editing - The generated images and video materials can be entered into the cutout with one click to continue editing, without having to move files between multiple tools; Flexible use of points system - You can get started with free points, and high-frequency use can unlock higher resolutions and more generation times through membership.

The value of this solution lies in upgrading Jimeng AI from "generating beautiful pictures" to a creation tool that is "controllable, reproducible, and embeddable into business processes." Core benefits include:

• Chinese creator friendly, low threshold for prompt words: No English prompt word engineering background is required, just describe it in Chinese to get high-quality output, greatly reducing the learning curve.
• Generation is editing: Seamless connection with editing reduces the time from production to finished film by more than 50%
• Style consistent and controllable: Achieve consistent output of series works through multiple rounds of iteration and reference picture system
• Free points verification, pay-as-you-go amplification: Use the free quota to do a proof of concept, and then invest in membership subscriptions after the verification is passed.

1.2 Applicable Boundary

1.3 Preconditions

• Register a Jimeng AI account (web version jimeng.jianying.com or App version)
• Understand basic image composition and color concepts
• Install editing (recommended, used to generate subsequent editing of the material into a film)
• Have a stable network environment

1.4 Toolchain Overview

Module 2: Chinese Prompt Word Project—Jimeng AI’s core differentiated capabilities

2.1 Why Chinese prompt words are the moat of dreams

Most AI image generation tools (such as Midjourney, Stable Diffusion) use English as the training base, and the effect of Chinese prompt words is generally weaker than that of English. As a product of ByteDance, Jimeng AI’s underlying model has been deeply optimized for Chinese semantic understanding.

Actual measurement comparison:

• When the English tool inputs the Chinese "a cat in Hanfu playing the guzheng under the cherry blossom tree", semantic deviations often occur: the shape of the cat, the details of the Hanfu, and the shape of the guzheng may be confused.
• Jimeng AI inputs the same Chinese description, and the generated results are significantly closer to the expectations of Chinese users in terms of clothing details, scene atmosphere and posture accuracy.

This means that designers who use Jimeng do not need the "prompt word translation" step at all and can directly create in their native language.

2.2 Five-dimensional framework of Chinese prompt words

Jimeng AI's prompt words can also be disassembled in a structured manner, but the difference from traditional English prompt words lies in semantic density: Chinese uses short words to carry a large amount of information, which is naturally suitable for Jimeng's model understanding method.

Key differences: Chinese prompt words can use a large number of idioms, four-character phrases and image words, and Jimeng's analysis accuracy is much higher than that of English tools. Picture-rich words such as "misty rain", "breeze blowing gently" and "flowers blooming like brocade" can directly take effect in dreams and do not need to be broken down into English "water vapor, misty, breeze blowing gently, flowers blooming profusely".

2.3 Prompt word optimization SOP

Requirements input (Chinese) → Five-dimensional dismantling → Initial generation →
Evaluation: Is it close to requirements → Yes → Lock parameters → Fine-tune style/details → Deliver
                  ↓ No
           Lock unsatisfactory dimensions (only change 1 at a time)
                  ↓
           Modify prompt words in a targeted manner → Regenerate

Expert’s View: Jimeng AI’s prompt word optimization has one essential difference from traditional English tools—the sense of language is more important than the vocabulary. In Midjourney, accurate English nouns and artist names are crucial; in Dream, sensory descriptors such as "gentle ancient style", "cyber national trend" and "minimalist Nordic style" can be used directly. This means content creators without a design background can get started quickly.

If you are not sure about the direction of the prompt words, you can first describe your creative goals in Doubao, and let Doubao help you break it down into structured Chinese prompt words, and then paste them into the dream for fine-tuning.

2.4 Common Chinese prompt word traps

Module 3: Vincentian Picture Creation and Style Control

3.1 Basic process of Vincent diagram

Jimeng AI's Wenshengtu interface is simple and intuitive, and the core operation process is as follows:

1. Select creative mode: Enter the Dream web page or App and select "Image Generation"
2. Enter Chinese prompt words: Write Chinese directly, 20-50 words recommended
3. Set the aspect ratio: Support common ratios such as 1:1, 4:3, 16:9, 9:16 etc.
4. Select style filter: Jimeng has built-in multiple style presets (Chinese style, illustration, photography, 3D, etc.)
5. Generation and Screening: Generate 4 pictures at a time, select satisfactory results for enlargement or secondary creation
6. Download or import cutout: Download the original image or send it to the cutout with one click to continue editing.

3.2 Style filter system

Jimeng AI has a rich set of style filter systems built-in, which is a key difference between it and pure prompt-driven tools. The style filter is equivalent to superimposing a "style rendering layer" on top of the prompt words, allowing non-professional users to quickly obtain the ideal painting style.

Expert View: While style filters improve efficiency, they also bring a hidden cost - over-reliance on filters will cause all works to have an overly "dream-like" quality. It is recommended that in commercial projects, you first use filters to quickly get a direction, then gradually reduce the dependence on filters after determining the style, and establish a unique visual language for the brand through pure prompt word control.

3.3 Style consistency workflow

For commercial projects that need to produce a series of works (such as a brand social media matrix), stylistic consistency is a key gate. Although Jimeng AI does not have the --sref parameter similar to Midjourney, style locking can be achieved through the following methods:

Method 1: Fixed style filter + fixed prompt word template

Style filter: Chinese style - ink
Base prompt words: "[Subject], ink style, blank composition, light ink rendering, Chinese artistic conception"
Variation rules: only replace the [Subject] field and leave the rest unchanged

Method 2: Reference picture relay

1. After the first satisfactory work is generated, download the image
2. Use the above picture as an "inspiration reference" in your next creation (the function of dreaming about pictures begetting pictures)
3. Adjust prompt words based on reference pictures and output new works of the same style.
4. Use the output of each round as a reference image for the next round to form a style relay chain

Method 3: Multiple rounds of iteration lock parameters

1. First round: extensive exploration with prompt words + filters (5–8 times generated)
2. Lock: After selecting the style direction, the filter and prompt word structure are fixed.
3. Fine-tuning: Only adjust 1–2 keywords for refinement
4. Archive: Save the final combination as a personal template

Gate Control: The final style must be tested and verified by at least 3 different subjects to ensure that the stability of the style is not a coincidence. After passing the test, it can be locked as the project style baseline.

Module 4: Drawing and reference drawing system

4.1 Detailed explanation of graph generation function

Jimeng AI's picture-generating function allows you to generate new variations based on uploaded pictures and combined with text prompts. This is the key capability from "zero to one" to "one to many".

Operation path: Enter image generation → click "Upload reference image" → select the image → enter the prompt word → set style and proportion → generate

Core application scenarios:

4.2 Reference drawing relay creation method

This is one of Jimeng AI's most practical skills - it does not need to generate perfect results at once, but through multiple rounds of "generate → download → upload reference → regenerate" cycles to gradually approach the expected results.

Round 1: Vincentian pictures → Output 4 pictures → Select the one closest to the needs
    ↓
Round 2: Use the selected pictures as reference pictures + optimized prompt words → output 4 pictures → further filter
    ↓
Round 3: Repeat relay → gradually narrow style and content
    ↓
Final round: Lock output → Zoom into HD → Import cut or download

Expert’s point of view: This method is especially suitable for creative scenarios where "you have a picture in your mind but can't explain it clearly". The actual workflow of many designers is not "write prompt words → draw a picture", but "draw a picture → see something you are not satisfied with → adjust → draw again". The reference map relay method essentially structures this trial and error process. Each round makes incremental improvements on the results of the previous round, rather than starting from scratch every time.

4.3 Partial redrawing and detail correction

Jimeng AI supports selecting local areas on generated images for redrawing, which is one of the most practical functions in commercial design.

Typical scenario:

• Body Replacement: In the generated poster, the product position is wrong → frame the product area → enter a new product description → partial redraw
• Background modification: The background style of the finished product does not match → Select the background area → Enter the background description → Partial redraw
• Detail Repair: There are defects in details such as fingers and face → Select the problem area → Prompt words to emphasize the correct details → Partial repair
• Element Addition and Subtraction: An element in the screen is redundant → select the area → use the "remove" prompt word to clear → or replace it with a new element

Module 5: Commercial design scenario practice

5.1 Brand social media matrix visual

Scenario description: A new Chinese tea brand needs to produce 60+ brand images with a unified style every month for Xiaohongshu and Douyin, covering product display, scene atmosphere and promotional posters.

Execution process:

1. Brand style finalization (2 days)

   • Collect brand VI colors and reference pictures
   • Select the "National Style - Green Landscape" filter as the baseline in Dream
   • Use the reference picture relay method to test 5 groups of prompt word combinations and lock in 1 group of brand style templates
   • Brand template example: [Product/Scene], green landscape style, elegant color scheme, Chinese-style blank composition, warm light -- ratio 3:4

2. Batch generation of product images (continuous, 2 batches per week)

   • Fixed branding template, only replace product name and description
   • Generate 4 display images from different angles for each product
   • Partial redrawing and correction details after filtering (cup shape, logo position, etc.)

3. Scene Atmosphere Picture (1 batch per week)

   • Focus on the "Tea Drinking Scenes" series: tea tasting, outdoor, study, receiving guests
   • Keep the style filter consistent and only change the scene description
   • Export to clip to add text and brand watermarks

4. Promotion poster (according to the rhythm of the event)

   • Overlay promotional elements on established styles
   • Use the picture-generating function: based on the product picture, add a description of the promotional atmosphere
   • Finally add copywriting and layout to the cut

Delivery: 60 photos per month, covering the three categories of products, scenes, and promotions, all maintaining the same brand style.

Acceptance Criteria: Randomly select 3 photos from each group to compare and finalize the brand style, the color range deviation does not exceed 15%, and the composition style is consistent.

5.2 Mass production of e-commerce product images

Scene description: Cross-border home furnishing brands need to launch 30+ new products every month, and each product requires a total of 5-8 main pictures + scene pictures + detail pictures.

Traditional method cost: 500-2,000 yuan for each outdoor shooting, about 15,000-60,000 yuan/month for 30 products

Jimeng AI solution cost: Membership subscription is about 30-50 yuan/month + post-processing time

Execution process:

1. Final product photography style (1 day for the first time, reuse later)

   • Upload actual product photos for reference
   • Prompt word frame: [Product] placed in [Scene], [Light Description], Product Photography Style, High Detail -- Ratio 1:1
   • Scene library predefined: pure white background, natural light, Nordic simplicity, warm home colors

2. Main image generation (15 minutes for each style)

   • Use the actual product photo as a reference → enter the prompt word with a pure white background → generate the main image
   • Multi-angle supplement: front, top view, 45-degree angle, side view

3. Scene Graph Expansion (20 minutes each)

   • Switch scene description, other parameters remain unchanged
   • Example: "Nordic simple living room, wooden floor, natural side light, green plants embellishment"
   • Generate 2 pictures for each scene, choose the best one

4. Details close-up (10 minutes for each style)

   • Use Tu Shengtu to partially redraw or recompose the image to focus on the material texture.
   • Fabric texture, wood texture, and metal texture are output separately

5. Batch archiving (processed uniformly every week)

   • Naming convention: {SKU}_{Type}_{Serial Number}.png
   • Unify resolution, batch import clippings and add size watermarks

Cost comparison summary:

5.3 Brand IP character design and series content

Scenario description: An education brand needs to design a Chinese-style IP character for a series of knowledge popularization content.

Execution process:

1. Character Setting Document (aligned with brand)

   • Character: A Tang Dynasty style scholar, young, gentle and elegant, holding a scroll
   • Color matching: brand color (emerald green + gold + off-white)
   • Temperament: intellectual, friendly, bookish

2. Character Initial Exploration (2 days)

   • Prompt word: Tang Dynasty scholar, young man, holding a scroll, emerald green robe with gold trim, gentle and elegant, Chinese illustration style -- Ratio 3:4
   • 8–12 variants are generated, and 2–3 directions are selected by team review
   • Key access control: the character's face needs to determine the style (realistic? Q version? Chinese comic style?)

3. Character shaping and multi-angle output (2 days)

   • After selecting the direction, use the drawing to fix the character’s features
   • Multi-angle generation: front, 3/4 side, sitting, standing, holding different props
   • Save each angle as a reference map

4. Series Scenario Expansion (Continuing)

   • Use the baseline image as a reference image to change the scene description
   • Scene series: reading in the study, flower appreciation in the garden, discussing Taoism in the teahouse, and traveling in the mountains
   • Add brand color correction after outputting each scene

5. Dynamic expansion (optional)

   • Import static character images into Keling or cut them for simple animation processing
   • Generate short videos spoken by characters for social media content

Key Tips: The most common problem in IP character creation is "the characters look inconsistent in different feature films". Jimeng does not have the --cref parameter similar to Midjourney, but it can be compensated by "reference picture relay + detailed description". Each time the character is generated, the best character picture from the previous round is used as a reference, and key facial features such as "red eyes, high nose bridge, thin lips, and delicate face" are fixed in the prompt words.

5.4 Early concept exploration of film and television

Scene description: The short video team is setting the visual tone for an ancient cultural program in the early stage.

Execution process:

1. Style Moodboard Collection (1 day)

   • Collect reference video screenshots, ancient paintings and photography works
   • Test the performance of different national style filters in a dream
   • Lock in the "gongbi pastel" style as the main tone

2. Key scene concept generation (3 days)

   • Generate 4–6 versions of each scene
   • Marking: camera height, picture scene, emotional atmosphere
   • List of scenes: making tea in the snow, playing the piano in the bamboo forest, drinking alone under the moon, listening to the rain under the eaves

3. Character styling test (2 days)

   • Use the reference picture relay method to test the clothing styles of different dynasties
   • Export character profiles for costume set reference

4. Deliverable: Concept album + technical description attached to each picture (light direction, color tendency, composition reference)

Acceptance Criteria: Concept drawings must include descriptions of the mood and atmosphere of the scene and color reference values, and can be directly delivered to photography and art directors for use.

Module 6: Editing ecological connection and batch management

6.1 Generate and edit: one-click connection from dream to editing

The connection between Jimeng AI and clipping is its core differentiation capability that distinguishes it from all independent AI image tools.

Standard connection process:

Jimeng AI generates materials → Send to the cut with one click → Edit and layout during the cut →
Add text/stickers/music/transition → Export into movie

The most time-saving part of this process is the "one-click sending" link - there is no need to download it locally and then import it, and there is no need to worry about format compatibility and resolution loss.

6.2 Material refinement workflow in editing

After the images generated by Jimeng enter the cutout, the following post-processing can be completed:

Expert’s point of view: What the combination of Dream + Screening really solves is the complete link from "material production to content release". Most AI image tools only solve the "picture production" step, but after the picture is produced, it also requires typesetting, adding text, music, and editing - these require switching between 2-3 software in the traditional process. Jimeng+Jiangying combines all of this into one ecosystem. What this reduces is not "a few minutes of operation", but "the frictional cost of switching and connection."

6.3 Batch generation and asset management

When the monthly material demand exceeds 100 pieces, manual operations begin to become a bottleneck. The following strategies help scale:

Strategy 1: Prompt word template matrix

Finalize the project/brand style → Create a prompt word template → Create a variant list according to "subject/scene/purpose" →
Replace variants one by one → Batch generation → Unified export to clipping → Batch typesetting

Template example (new Chinese brand):

Base template: "{Subject}, {Scene}, green landscape style, elegant Chinese color scheme, blank composition, warm and soft light -- ratio 3:4"
Variant pool:
  Subject: ["Celadon tea set", "Handmade osmanthus cake", "Bamboo tea mat", "Tieguanyin loose tea"]
  Scene: ["Jiangnan Courtyard", "Bookcase by the Window", "Stone Table in the Bamboo Forest", "Pavilion on the Water"]

4 subjects × 4 scenes = 16 basic materials, each of which can also generate multi-angle variations.

Strategy 2: Theme Week Batch System

• Set a creative theme every week (such as "Tea Series", "Flower Series" and "Festival Series")
• Monday: Batch generate all materials under this theme (50–80 pictures)
• Tuesday: The screening pass rate is about 30% (15–25 photos)
• Wednesday: Unified typesetting and copywriting of the film clips
• Thursday: Export in batches and store in material library
• Friday: Release schedule

6.4 Material management and naming convention

{Project code}_{Category}_{Scene}_{Serial number}_{Resolution}.png
Example: teabrand_product_teaset_01_4k.png

Recommended directory structure:

📁 assets/
├── teabrand-2026/
│ ├── product/ # product picture
│ │ ├── teabrand_product_teaset_01_4k.png
│ │ └── teabrand_product_cake_01_4k.png
│ ├── scene/ # scene graph
│ │ └── teabrand_scene_garden_01_4k.png
│ ├── poster/ # poster
│ │ └── teabrand_poster_summer_01_4k.png
│ └── templates/ # prompt word template
│ └── teabrand_prompt_template.md

Module Seven: Implementation Cycle, Risk Control and Frequently Asked Questions

7.1 Phased implementation plan

7.2 Risk Control and Access Control

7.3 Investment analysis

7.4 Suggestions for selecting non-Chinese tools

When to use Jimeng AI:

• The creative language is mainly Chinese, and the target audience is also Chinese users
• Need to access the editing ecosystem to do a full closed loop of "generate → edit → publish"
• The design style is biased toward national style, new Chinese style, and traditional cultural elements
• Non-design positions in the team also need to participate in content creation

When you need to switch or supplement other tools:

• It requires extremely high artistic expression and compositional aesthetics. It is recommended to use Midjourney for style exploration, which is both a dream and a Chinese adaptation.
• Needs fine local control and custom model training, it is recommended to use Stable Diffusion to supplement
• If you need to convert static images into more dynamic video materials, it is recommended to use the Keling extension

7.5 FAQ

Q: What is the points system of Jimeng AI? Is the free quota enough? A: Jimeng AI operates on a points system, and you can get free points for daily check-ins and activities. For image generation, free points are enough for light daily use (10–30 images per day). Video generation and consumption are faster. If you need 100+ high-quality picture output every month, it is recommended to subscribe to the membership. It is recommended to use the free quota for concept verification and style testing first, and then open membership for formal mass production after confirming the direction.

Q: Can the images generated by Jimeng AI be used commercially? A: Jimeng AI's user agreement allows commercial use in most scenarios, but please note: Do not enter IP names protected by third-party copyrights (such as Disney characters, famous brand logos, etc.); do not generate patterns that are highly similar to registered trademarks; before large-scale commercial use, it is recommended to check the authorization terms in the latest version of the user agreement. If you have any doubts, please consult legal counsel.

Q: Compared with Jimeng AI and Midjourney, which one is more suitable for Chinese design teams? A: This pairing is actually complementary rather than substitutive. Jimeng AI's Chinese understanding and editing ecology are the core advantages of the Chinese team; Midjourney is still leading in artistic expression, style control and global ecology. It is recommended to use Jimeng as your main daily tool, and use Midjourney as a supplement when you need to explore high-art concepts or benchmark international aesthetics. The two can exchange materials through the graph-generating function.

Q: How to make the series of works generated by Jimeng AI look unified in style? A: Three key steps: (1) Lock a baseline style filter and do not change it for the entire project; (2) Establish a fixed prompt word template and only replace the variable fields; (3) After the first work is published, it will be used as a reference picture, and all subsequent generation will be based on this reference picture for reference picture relay. The combined use of these three steps can ensure more than 80% style consistency.

Q: Can Jimeng AI’s image rendering and partial redrawing functions replace Photoshop? A: For most social media and e-commerce materials, it can replace 60–70% of PS operations. But if you need high-precision cutout, complex layer synthesis, and accurate color management, you still need professional image editing tools. The combination of Dream + Editing covers the main process of "creation → layout → film completion", and PS/other professional tools are responsible for the high-precision link of "refinement → delivery".

7.6 Summary of advantages and disadvantages

Advantages:

• Chinese semantic understanding is leading among AI image generation tools, with zero English threshold
• Connect with the editing ecosystem to achieve a fully closed loop of "generation → editing → publishing"
• The points system is flexible and you can start verification with free quota
• Excellent performance in oriental aesthetic styles such as Chinese style and new Chinese style
• Simple operation interface and low learning curve
• The byte series products iterate quickly and the models are continuously upgraded.

Disadvantages:

• There is still a gap between artistic expression and composition aesthetics and Midjourney
• Lack of refined style and character control parameters like --sref/--cref
• The underlying model version and evolution path have not yet been publicly disclosed
• Video generation consumes points quickly, and the cost of long-term high-frequency use needs to be evaluated.
• The degree of globalization is lower than that of international competitors, and the English prompt word support is weak
• Limited public information on enterprise-grade APIs and private deployments