The Best Tools for AI Image Generation from Existing Photos (With a Tutorial)   

AI image-to-image generators are a huge step from the text-to-image generators. These tools can take an existing image and transform it into something entirely new with prompts that act as guardrails. These tools allow you to enhance details like facial expressions or even change artistic styles in an image. 

But this is an unfamiliar terrain. What are the best AI image-to-image generation tools out there? And how do these tools work? This article explores the best AI image-to-image generators and includes a short tutorial on how to use them. 

How Do AI Image-to-Image Generators Work?

How do AI image-to-image generators function? To understand image-to-image AI, it helps to know how AI image generation works. These generators use deep learning methods, mainly generative adversarial networks (GANs) and diffusion models, to produce images from text prompts.

Initially, the AI models undergo an extensive training process where they learn the components of images. After this training, they are tasked with creating images independently. The initial outputs may not be impressive, but over time, the model improves significantly.

In each image generation task, the AI employs a GAN, which comprises a generator and a discriminator. The generator’s role is to create new images, while the discriminator’s job is to assess these images and differentiate between real and generated ones. When using a diffusion technique, the AI begins with a base known as noise and then refines it, adding details according to the user’s specifications.

But in an image-to-image generation tool: 

1. Image Input

The AI analyzes the input image to identify its features and structures. Then, it applies the learned features to a new image based on the user’s instructions. 

2. AI Processing and Transformation

If using a GAN, the generator creates a modified image. As it does this, the discriminator scrutinizes it and provides feedback that helps the generator refine its output. With diffusion models, the AI progressively denoises a latent noise representation. It then conditions the denoising process to incorporate the user’s instructions into the structure of the input image. 

How We Made Our Picks

It’s no news that not all AI image generators are equal. Some offer higher-quality images, more accuracy, flexibility, or customization. Our picks fulfilled one or more of these criteria to varying degrees: 

1. Quality of Output

The most important factor for deciding upon a tool is the quality of the output. The best AI image-to-image generators should produce high-resolution images with sharp details. That means the images should have accurate textures, natural color gradients and an overall natural looking finish. 

2. Customization

Flexibility is another crucial factor. The point of image-to-image generation is the freedom to create variations of an existing image. Therefore, a tool classified as one of the best AI image generators will allow users to fine-tune outputs to suit subjective demands. That could be adjusting aspects like colors, contrast, lighting, and texture. 

Some advanced tools will even let users modify very specific details, like facial expressions, background elements, or artistic styles. 

3. Speed

Time efficiency is crucial, especially when working on tight deadlines. An AI image-to-image generator with incredibly fast processing times will score points. No one wants to wait endlessly to make changes to images. Although some tools do well to generate images in seconds, others require more time. This time variation depends on the complexity of the task. 

At the same time, our picks do not compromise quality for speed.  

4. Ease of Use

Although we live in a digitally advanced world, not everyone using an AI image generator is a tech expert. Our pick of tools has well-designed interfaces with intuitive controls that make image generation as easy as it can get. 

They provide easy navigation, clear instructions, and user-friendly settings to increase their accessibility. The controls are simple: drag-and-drop functionality, pre-set styles, and real-time previews

The Best AI Image-to-Image Generators

1. Adobe Firefly

Adobe Firefly is targeted at creative professionals. This tool is integrated with its parent tool,  Adobe Photoshop, for a more holistic experience. This means, you don’t have to cycle between apps in your image editing/generation workflow. 

Firefly creates high-quality image transformations with incredible detail that pass the professional checklist. Its main strength lies in its ability to generate in multiple artistic styles. You can create a wide range of things spanning photorealistic images to digital paintings in just a few tweaks. 

Key Features:

• Adobe provides high-quality, detailed image transformations that go beyond simple filters or color adjustments. It also caters to complex tasks (like style transfer, content replacement, and scene alteration). 
• It alters existing images “while sticking to the script”. Meaning, it preserves intricate details and textures while applying the desired changes
• Supports multiple artistic styles (photorealistic, painterly, abstract, etc.)
• It provides built-in editing tools for precisely fine-tuning the AI’s output
• Seamless integration with Adobe Photoshop and Illustrator
• AI-powered upscaling and enhancement

Best For: Graphic designers and photographers who already use Adobe Creative Suite.

2. Midjourney

Midjourney has a unique approach to image generation, it emphasizes artistic interpretation with a distinctive, dreamlike aesthetic. The only downside to this is that MidJourney will occasionally ignore certain prompt details in favor of the general aesthetic. 

While Midjourney isn’t primarily an image-to-image tool, it can still modify visuals using text prompts. And it’s simple to use too. Users can upload an image accompanied by a detailed description that will guide MidJourney in completing the task. 

MidJourney is iterative and encourages users to experiment and continually refine prompts till the desired result is achieved. Furthermore, this tool is regularly updated to ensure its image-to-image capabilities are improving. 

Key Features:

• Midjourney put its stakes on the creation of image-to-image transformations that lean towards the artistic and surreal. 
• It generates final images that are rich in detail and visually compelling
• It provides an interactive environment through Discord. You can use this as a medium of communication with others. 
• MidJourney allows iterative improvements through prompt refinements
• It regularly gets updated with new features and model enhancements

Best For: Artists and designers looking for unique, stylized imagery with a creative edge.

3. DALL-E 3 (OpenAI)

DALL-E 3 is one of OpenAI’s most advanced AI image generators. It builds on the strengths of its predecessors to provide even more detailed and realistic outputs. DALL-E 3 is designed to create high-resolution, conceptually accurate images based on text or image prompts.

Unlike earlier versions, DALL-E 3 understands natural language prompts with greater precision. This means users can describe an image in detail, and the AI will generate an output that closely aligns with their vision. It is particularly effective at rendering complex compositions, handling intricate textures, and maintaining a cohesive artistic style across multiple generations.

Key Features:

• High-resolution image generation: Produces crisp, detailed images suitable for professional use.
• Strong text-to-image capabilities: Understands prompts with more nuance to create visuals that match user expectations.
• Smart AI adjustments: Allows for refinements to enhance realism and style consistency.

Best For: Artists, marketers, and creatives.

4. ImageFX (Google)

Google’s ImageFX is a newer but promising entry into AI image generation. As part of Google’s AI ecosystem, ImageFX leverages machine learning to create realistic and artistic images with ease.

One of its standout features is its seamless integration with Google services. This allows users to incorporate AI-generated images into various applications effortlessly. ImageFX focuses on AI enhancements and advanced rendering techniques to improve image clarity, lighting, and composition.

Key Features:

• Strong AI-powered enhancements: Uses advanced models to refine image details.
• Advanced rendering techniques: Generates images with improved realism and lighting accuracy.
• Easy integration with Google’s ecosystem: Works well with Google Photos, Drive, and other services.

Best For: Users looking for a simple, effective, and high-quality AI image generator within Google’s ecosystem.

5. Stable Diffusion

Stable Diffusion is a widely known open-source AI model that allows extensive customization. Unlike other AI tools, Stable Diffusion gives users full control over image generation. It provides options for customization and personalization other tools lack. 

It can run on both local machines and cloud-based platforms, allowing users to create images without relying on external servers. This flexibility makes it a great option for those concerned about data privacy or who prefer complete control over their creative process.

Key Features:

• Completely free and open-source: Users can modify and enhance the model as needed.
• Allows local and cloud-based generation: Provides flexibility in how images are created.
• High-quality image transformations: Capable of producing photorealistic and stylized images.

Best For: Tech-savvy users, developers, and creatives.

6. Leonardo AI

Leonardo AI is an emerging AI image generator that stands out for its high-speed processing and unique artistic capabilities. It balances realism with artistic flair and makes an excellent choice for users who prioritize both professional-grade and stylized images.

Leonardo AI also offers free and paid options, allowing users to access basic features without a subscription while providing premium tools for those who need advanced functionalities. It is gaining popularity among game developers, digital artists, and marketers who require high-quality AI-generated images.

Key Features:

• Supports both realistic and stylized generations: Ideal for professional and artistic use.
• High-speed processing: Generates images quickly without compromising quality.
• Offers free and paid options: Accessible to a wide range of users.

Best For: Users looking for a versatile AI image generator that balances speed, quality, and creative freedom.

Also read: Leonardo.AI Review: A Guide for Creatives

How to Use AI Image-to-Image Generators (A Tutorial)

1. Choose a Tool

Pick an AI image generator from the options previously listed (Adobe Firefly, Midjourney, DALL-E 3, Stable Diffusion, or Leonardo.AI). You can also tinker about with the tools before settling on the tool that suits your needs best. Some tools require an account, while others offer free trials.

2. Upload an Image

Most tools have an ‘upload’ button. Click it and select the image you want to transform.

3.  Select Modifications

Choose how you want to modify the image:

• Change the style (realistic, cartoon, oil painting, etc.)
• Enhance certain details (sharpen, upscale resolution)
• Add new elements (backgrounds, objects, lighting changes)
• Add text prompts with detailed instructions

For instance, if you want a cartoon effect, select ‘cartoon’ from the style options. If using text prompts, describe the transformation you want, such as ‘turn this photo into an oil painting 

4. Adjust Settings

Many tools let you fine-tune adjustments like color, contrast, and textures. Some advanced tools also allow detailed edits, like changing facial expressions or specific objects.

5. Generate the Image

Click the “Generate” or “Apply” button. The AI will process your request and create the new image in seconds to minutes.

6. Review and Edit

Most tools are iterative. Check the output and if needed, tweak settings or regenerate until you get the desired result.

7. Download the Image

Once satisfied, click “Download” to save the final image.

Tip: Some tools offer advanced features like inpainting (editing specific parts of an image) or style blending. Do explore these for more customization. 

Also read: The Best AI Image Generators of 2025

The Bottom Line

AI image-to-image generators are switching things up. They offer faster ways to “edit” your images without the manual effort. All you need are a few clicks and accurate descriptions, and watch the images you desire become realized. 

FAQs

1. How to Create AI Images Using Existing Images?

To create AI-generated images from existing ones, upload your image to an AI tool like DALL-E 3, Stable Diffusion, or Adobe Firefly. Use the available editing and transformation options to modify the image as needed.

2. What Is the AI Tool to Generate Images From Photos?

Several AI tools can generate images from photos. Examples are: DALL-E 3, Midjourney, and Leonardo AI. These tools enhance, transform, or modify photos into artistic or realistic images.

3. How to Make Your Own Image Generating AI?

Building your own AI image generator requires knowledge of machine learning. You can use frameworks like TensorFlow or PyTorch and train a model using datasets like Stable Diffusion or GAN-based architectures.

4. How Do I Modify an Existing Image in AI?

You can modify images using AI tools like Adobe Firefly, DALL-E 3, or Stable Diffusion. Upload the image, apply filters, change styles, or edit elements using AI-powered enhancement features.