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Keep Your AI Character Consistent Across All Images

Discover how to keep your AI character identical across all images. 4 concrete techniques to create a consistent character easily.

โดย Jérémie Chiari

30 กรกฎาคม 2569 อ่าน 9 นาที

You're generating images with AI and you'd like to create a character that stays the same from one image to the next? That's challenge number one when you want to tell a visual story, create a brand mascot, or produce a series of ads. By default, each generation produces a new face, new hairstyle, different clothes. Result: impossible to recognize your character. Fortunately, four concrete methods now allow you to maintain this visual consistency without becoming an AI expert. This article shows you exactly how to do it, with the right tools and techniques, so your character stays recognizable from first to last visual.

How to maintain AI character consistency across multiple images?

AI character consistency relies on four main methods: character reference, fixed seed, ultra-detailed repeated prompt, and training a custom model. Each has its advantages depending on your technical level and budget.

Character reference involves providing an existing image of your character to the AI, which will then draw inspiration from it for all subsequent generations. Midjourney offers this function with the --cref parameter, Leonardo AI with Image Guidance, and Stable Diffusion via extensions like IP-Adapter. You upload your base image, describe the new scene, and the AI keeps the facial features, hairstyle, proportions.

Fixed seed is a number that determines the random starting point of generation. By always using the same seed with similar prompts, you get variations around the same character. This method works well for slightly different poses, but as soon as you radically change the angle or action, the character drifts.

Ultra-detailed prompt involves describing your character with surgical precision (exact eye color, nose shape, hairstyle, clothing) and copy-pasting this description into each new prompt. It's the most accessible method but also the least reliable: the AI interprets words differently depending on context.

Training a custom model (LoRA on Stable Diffusion, or Custom Model on some platforms) lets you create a unique "concept" from 10 to 30 photos of your character. Once trained, you invoke this concept in your prompts and the AI automatically generates your character. It's the most robust solution but requires time and technical skills.

Which method to choose based on your project and level?

Choose character reference if you're starting out and want quick results, fixed seed for minor variations, detailed prompt for free testing, and custom model if you're producing dozens of images of the same character. Here's a comparison table to help you:

Method	Required Level	Cost	Consistency	Use Case
Character reference	Beginner	Tool subscription (€10-30/month)	Very good	Ads, social media, storytelling
Fixed seed	Beginner	Free or subscription	Medium	Quick tests, minor variations
Detailed prompt	Beginner	Free possible	Low to medium	Experimentation, small projects
Custom model	Intermediate/advanced	€0 (self-hosted) or €20-50	Excellent	Long series, brand, mascot

If you're creating an advertising campaign with multiple visuals featuring the same protagonist, character reference is your best ally. You generate a first image you like, then reuse it as a reference for all the following ones. Skilzy's Creating Ads with AI program teaches you this technique step by step, with direct access to tools in the integrated AI Lab, without multiplying subscriptions.

For a personal project where you test different ideas without budget, start with detailed prompt on a free tool like Leonardo AI (150 free daily credits) or Playground AI. Note your character's characteristics precisely in a document and paste this description into each generation.

If you're producing a comic or series of 50+ images with the same hero, invest in training a custom model. The time spent upfront (a few hours) will be well worth it for the perfect consistency you'll get afterward.

How to use character reference on Midjourney and Leonardo AI?

On Midjourney, add --cref IMAGE_URL to your prompt; on Leonardo AI, enable Image Guidance and upload your reference image with a weight of 0.7 to 0.9. Here's the detailed procedure for each tool.

Midjourney (via Discord)

Generate or upload a first image of your character that fully satisfies you
Right-click the image, "Copy image link"
In your new prompt, write: /imagine prompt: [your scene] --cref [copied URL]
Add --cw 100 for maximum face consistency (default is 100, you can lower to 50 if you want more freedom)
Concrete example: /imagine prompt: woman sitting in a café, drinking coffee, warm lighting --cref https://cdn.midjourney.com/abc123.png --cw 100

Midjourney will preserve facial features, hairstyle, skin color. However, clothing can vary unless you explicitly describe it in the prompt. For clothing consistency, add "wearing blue denim jacket and white t-shirt" to each prompt.

Leonardo AI

Create your first image or upload a reference photo
Launch a new generation
Enable the "Image Guidance" toggle in the side panel
Click "Upload Image" and select your character image
Set the "Strength" slider between 0.7 and 0.9 (higher means stricter consistency)
Write your prompt describing the new scene
Generate

Leonardo AI also offers a specific "Character Reference" mode in certain models like Phoenix. This mode analyzes the face and silhouette to reproduce them faithfully. Test both approaches to see which gives better results with your character.

How to create a consistent character with a detailed prompt?

Write a 50 to 100-word description covering physique, clothing and style, then copy-paste this base into each new prompt adding only the scene. This free method works on all AI image generators.

Here's an effective description template:

[Approximate age], [gender], [ethnicity], [hair color and style], [eye color], [distinctive features: glasses, beard, tattoo, etc.], [body type], [precise clothing style], [recurring accessories]

Concrete example:

25-year-old woman, caucasian, shoulder-length wavy auburn hair, green eyes, small nose piercing, athletic build, wearing oversized beige cardigan and black jeans, white sneakers, small silver hoop earrings

Then, for each new image, you simply add the action or scene:

First prompt: "[complete description], standing in a bookstore, browsing shelves, soft natural light"
Second prompt: "[complete description], sitting on a park bench, reading a book, autumn leaves falling"
Third prompt: "[complete description], walking a golden retriever in the rain, holding red umbrella"

This technique gives variable results. Depending on the tool and model, you'll get between 60% and 80% consistency. Facial features change slightly from image to image, but the overall impression stays recognizable. It's enough for testing projects or isolated social media posts.

To improve consistency, add a constant artistic style ("digital illustration", "photorealistic portrait", "anime style") and a reference artist ("in the style of Annie Leibovitz" for photography, "Studio Ghibli style" for animation). This unifies the visual rendering even if the face varies slightly.

How to train a custom model for perfect consistency?

Train a LoRA (Low-Rank Adaptation) on Stable Diffusion with 15 to 30 images of your character from different angles, then invoke this LoRA in your prompts. It's the professional method for absolute consistency.

The complete process:

Training image collection: generate or photograph 15 to 30 images of your character from different angles (front, profile, three-quarter), expressions (smile, neutral, surprised) and lighting. Avoid overly busy backgrounds.
Data preparation: crop all images to the same format (512x512 or 768x768 pixels), name them consistently ("character_001.png", "character_002.png", etc.).
Choose training platform:
- Civitai: simple web interface, free training but limited credits
- Google Colab: free with GPU, requires following a tutorial (search "Kohya LoRA training Colab")
- Replicate: paid (about €2 to €5 per training), very simple to use
Training parameters: if you use Kohya (the standard), set:
- Learning rate: 0.0001
- Epochs: 10 to 20
- Batch size: 1 or 2
- Network dimension: 32 or 64
Model testing: once training is complete (15 to 45 minutes depending on platform), download the .safetensors file and test it in Automatic1111, ComfyUI or Fooocus with a simple prompt: "[your_trigger_word], standing, neutral background".
Usage: in all your future prompts, invoke your LoRA with the activation keyword (trigger word) you defined during training. Example: "emma_character, sitting in a café, warm lighting, photorealistic".

This method requires an initial time investment (plan half a day the first time, then 1 hour for subsequent trainings), but gives you total control. Your character will be 95% identical from image to image, with only pose and environment changing.

If you want to go further in creating advertising visuals with consistent characters, Skilzy's Creating Ads with AI program shows you how to combine these techniques with best marketing practices for effective campaigns.

What mistakes to avoid to keep an AI character consistent?

The three main mistakes are switching tools between generations, changing too many elements at once in prompts, and not documenting your generation parameters. Here's how to avoid them.

Switching tools mid-series

Each AI image generator (Midjourney, DALL-E, Leonardo, Stable Diffusion) has its own visual "signature". A face generated on Midjourney will look different on Leonardo AI, even with the same prompt. If you start a series with Midjourney, stay with Midjourney. If you absolutely must change tools, use your first image as a reference in the new tool rather than starting over with a prompt.

Changing too many elements simultaneously

You want your character to go from an indoor scene to an outdoor scene? Change the environment but keep the character description, overall lighting and artistic style identical. Otherwise, the AI interprets these multiple changes as a request for a new character. Proceed with small iterations: first change the pose, generate, validate. Then change the background, generate, validate. Avoid changing everything at once.

Not documenting your parameters

You generated the perfect image of your character three days ago, and you can't find the exact prompt, seed, or parameters? That's guaranteed frustration. Create a document (Google Doc, Notion, simple text file) where you systematically note:

The complete prompt
The seed if you fixed it
The tool used and model (ex: "Midjourney v6", "Leonardo Phoenix")
Specific parameters (--cw, aspect ratio, style preset)
The URL or file of the generated image

This documentation lets you reproduce the exact same character weeks later, or hand off the project to someone else. It's particularly useful if you work in a team or outsource part of visual production.

Finally, don't skip the testing phase. Generate 5 to 10 images of your character in varied contexts before launching full production. You'll immediately see if your method holds up or if the character drifts too much. Better to adjust at the start than redo 50 images later.

Conclusion

Keeping an AI character consistent across all your images is no longer a headache if you apply the right method. Character reference offers the best simplicity-to-effectiveness ratio for most projects. Custom model (LoRA) gives you perfect consistency if you're producing in series. Detailed prompt remains a free option to get started. Document your parameters, test before mass-producing, and stick with the same tool for a given series. With these simple rules, you create professional visual series where your character stays recognizable from first to last visual.

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What's the best tool for creating a consistent AI character?

Midjourney with the --cref parameter currently offers the best character consistency for beginners. Leonardo AI also has an effective Image Guidance function. For absolute consistency on long series, Stable Diffusion with a custom LoRA remains the reference, but requires more technical skills. The choice depends on your level and the volume of images to produce.

How many images do you need to train a custom model?

Between 15 and 30 images of your character are enough to train an effective LoRA on Stable Diffusion. These images should show different angles (front, profile, three-quarter) and expressions. Below 10 images, the model lacks data to generalize. Above 50, you don't significantly improve quality, you just lengthen training time.

Can you keep a character consistent for free?

Yes, with three free methods: ultra-detailed repeated prompt on all tools, fixed seed (available on most generators), or training a LoRA via free Google Colab. Leonardo AI offers 150 free daily credits with Image Guidance function. Consistency won't be as perfect as with Midjourney subscription or custom model, but sufficient for testing projects.

Why does my character change despite the same prompt?

Because AI image generators introduce randomness with each generation, even with identical prompts. To counter this, you must either fix the seed, use a character reference, or train a custom model. Prompt alone isn't enough: the AI interprets words differently depending on context and starting randomness.

How do you keep the same clothes on your AI character?

Describe clothing precisely in each prompt (color, material, style) and use a character reference showing those clothes. Tools like Midjourney tend to vary outfits even with character reference, so text description remains essential. For perfect clothing consistency, training a custom model with your character always dressed the same way is the most reliable solution.

What's the difference between character reference and style reference?

Character reference (--cref on Midjourney) reproduces a character's physical traits: face, hairstyle, body shape. Style reference (--sref) reproduces overall artistic style: color palette, rendering technique, atmosphere. You can combine both: --cref to keep your character identical, --sref to maintain the same visual style across your entire image series.