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AI Image PromptingChapter 4. Beyond text-to-image prompting

Blending images: creating new visuals through image fusion

Blending images: creating new visuals through image fusion

Blending images: creating new visuals through image fusion

Blending images allows you to merge distinct visual concepts into a single frame—whether it’s fusing natural and cosmic landscapes, or combining fantasy with realism. It’s a technique that opens doors to imaginative storytelling through visuals.

The blending feature and its output vary depending on the platform:

Midjourney supports image blending on both the web interface and Discord. The Web UI provides a simplified blending workflow, while Discord gives you more control by allowing prompt-based customization—such as assigning weight using multi-prompt syntax. However, detailed control over structure or positioning is still limited.

Leonardo AI offers a Canvas editor with AI-assisted inpainting that allows you to blend and recompose sections with higher precision. This gives users more authority over positioning and seamless transitions.

ChatGPT-4o enables image blending in a conversational flow. While there’s no support for numerical weight control or layers, you can still influence results through thoughtful instruction. The tool usually overlays images and merges style and texture holistically.

In this section, we’ll use ChatGPT-4o to demonstrate two common workflows: blending to create new scene compositions and blending to create new characters.

Blending images to create imagery scenes

We’ll begin by blending entire scenes. The goal here is to combine visuals from different thematic elements—land, sea, and cosmos—into unified, imaginative environments.

There are the input images:

Natural mountain range

Natural mountain range

Bioluminescent coastal nightscape

Bioluminescent coastal nightscape

Cosmic humanoid profiles

Cosmic humanoid profiles

After uploading a pair of images, simply ask ChatGPT:

Blend the two images.

When blending in ChatGPT-4o or similar models, it’s often better to:

  • Keep the prompt short and focused. Overly long prompts can distort how image features are layered.
  • Use source images that are the same size and aspect ratio. This helps the AI align elements more predictably during overlay-based blending.

This minimal approach tends to produce more cohesive and balanced compositions in current-generation AI tools.

Here are the resulting blends:

Blended Image: Mountain + Coastal Nightscape

Blended Image: Mountain + Coastal Nightscape

Blended Image: Mountain + Cosmic Profiles

Blended Image: Mountain + Cosmic Profiles

Blended Image: Coastal Nightscape + Cosmic Profiles

Blended Image: Coastal Nightscape + Cosmic Profiles

Each blend showcases how distinct visual themes—natural light, galactic energy, and oceanic flow—can harmonize and even enhance one another when fused creatively.

Note: As with scene blends, it’s important to start a new thread or conversation for each blend. This helps avoid unintended influence from previous results or images, keeping the output clean and focused on the current input pair.

You can also experiment by blending all three images together for an even more layered and complex visual.

Blending all three images together

Blending all three images together

Blending images to create new characters

Using the blending technique, you can also generate entirely new characters by merging two different visual styles—one serving as the base (or seed) and the other as a stylistic influence. This approach is particularly useful for character transformation, redesigns, or applying a new aesthetic to an existing form.

In this demonstration, we combine a simplified 3D model of a hooded figure with a vibrant portrait-style illustration. The final result preserves the core structure of the seed while adopting the mood, color palette, and surface treatment of the style reference.

When blending for character creation, it’s best to use simple portrait-style images. Complex backgrounds or varied poses often confuse AI models during overlay processing. Centered, clearly defined characters produce much more coherent and controllable results.

Here are the two input images:

Seed character (base form)

Seed character (base form)

Style reference (vibrant 2D portrait)

Style reference (vibrant 2D portrait)

After uploading the two images, use the same minimal prompt:

Blend the two images.

This straightforward phrasing helps the AI focus on layering and stylistic fusion without introducing unrelated elements. It also works best when both images share similar orientation and framing.

Here is the result:

Blended character

The final image retains the silhouette and pose of the seed character, while integrating the style reference’s fashion details, color intensity, and lighting. The blend feels intentional and stylized—a compelling example of how AI-driven image fusion can produce something new, imaginative, and visually cohesive.


Blending images opens up a wide space for experimentation and creative discovery. Whether you are merging photos to build something entirely new or simply enhancing your visuals with subtle overlays, this process invites you to see familiar elements in unexpected combinations. As you practice, you’ll develop a sharper sense of how composition, color, and style can work together to produce cohesive, compelling results.

Tags:

Image Blending

AI Image Editing

Visual Fusion

Creative Storytelling

Character Creation

AI Image Prompting
Course Content

Chapter 1. Introduction to AI image prompting

Fundamentals of AI image generation

Choosing the right AI image generation service

AI Image use cases and image sizes

Anatomy of AI prompts

Inspirational prompting vs. descriptive prompting

Chapter 2. From inspirations to effective AI image prompting

Learning from the history of art

Exploring modern artistic styles

Understanding camera angles and perspectives

Mastering lighting techniques

Applying color techniques

Techniques for effective inspirational prompting

Chapter 3. Descriptive prompting

Subject-focused prompting

Scene-focused prompting

Design-focused prompting

Abstract and experimental prompting

Chapter 4. Beyond text-to-image prompting

Removing background and resizing images

Remixing images: creating new scenes and characters

The Image-to-prompt-to-image technique

Blending images: creating new visuals through image fusion

Sketch to image: bringing hand-drawn ideas to life with AI

Chapter 1. Introduction to AI image prompting

Fundamentals of AI image generation

Choosing the right AI image generation service

AI Image use cases and image sizes

Anatomy of AI prompts

Inspirational prompting vs. descriptive prompting

Chapter 2. From inspirations to effective AI image prompting

Learning from the history of art

Exploring modern artistic styles

Understanding camera angles and perspectives

Mastering lighting techniques

Applying color techniques

Techniques for effective inspirational prompting

Chapter 3. Descriptive prompting

Subject-focused prompting

Scene-focused prompting

Design-focused prompting

Abstract and experimental prompting

Chapter 4. Beyond text-to-image prompting

Removing background and resizing images

Remixing images: creating new scenes and characters

The Image-to-prompt-to-image technique

Blending images: creating new visuals through image fusion

Sketch to image: bringing hand-drawn ideas to life with AI

FAQ: Blending Images – Creating New Visuals Through Image Fusion

What is image blending?

Image blending is a technique that merges distinct visual concepts into a single frame, allowing for imaginative storytelling through visuals.

How does Midjourney support image blending?

Midjourney supports image blending on both the web interface and Discord, offering a simplified workflow on the Web UI and more control with prompt-based customization on Discord.

What features does Leonardo AI offer for image blending?

Leonardo AI provides a <canvas> editor with AI-assisted inpainting, allowing for precise blending and recomposing of sections.

How can ChatGPT-4o be used for image blending?

ChatGPT-4o enables image blending in a conversational flow, allowing users to influence results through thoughtful instruction, though it lacks numerical weight control or layers.

What is the best approach for blending images to create new characters?

For character creation, use simple portrait-style images with centered, clearly defined characters to produce coherent and controllable results.