Reflecting on a Year of AI Image Generation: Adobe Firefly, SDXL, and Flux.1
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Introduction
Hello, this is Easygoing.
Today, I’d like to take a moment to reflect on the past year in AI image generation.
My First Reflection Post
In my previous post, I was fortunate to receive a comment saying, "I'd love to see your older illustrations."
While I frequently experiment with new technologies, I rarely take the time to reflect on my past work.
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Over the past year, AI image generation has evolved dramatically, and as a user, I’ve been constantly experimenting and exploring new ways to utilize it.
Rather than focusing on AI's evolution, this post will highlight how my approach as a user has changed over time.
In writing this, I made some new discoveries myself, so I hope you find them interesting!
It All Started with a Need for Illustrations!
I started using AI image generation in November 2023, when I was writing a medical blog—quite different from what I do now.
Since my content was somewhat technical, I wanted to make it more engaging by adding illustrations.
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At first, I used free illustration assets from sites like Pixabay.
While free images were copyright-free, I felt a bit uncomfortable using real model photos.
Around that time, AI image generation was gaining attention, so I decided to give it a try.
Trying Out Adobe Firefly
The first AI image generator I used was Adobe Firefly.
I chose Firefly because I was already using Photoshop and was familiar with Adobe’s services. Plus, I trusted the reliability of a big-name platform.
Amazed That I Could Create Illustrations!
Generating images with Firefly was a series of surprises.
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I was amazed that I could create realistic illustrations just by typing text.
As I adjusted my prompts, the composition and expressions changed, which reminded me of the fun of photography.
Developing an Interest in AI
For about six months, I used AI-generated illustrations for my blog. But gradually, I became more fascinated by AI image generation itself than by blogging.
AI was evolving at an astonishing speed, and I felt like I was witnessing a historic moment in its development.
Since life only happens once, I decided to dive headfirst into this wave of change.
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As I became more experienced with Firefly, I started noticing its weaknesses. This made me eager to explore other AI image generators.
Starting My AI Image Journey!
Wanting to document a beginner’s experience with AI image generation, I started my AI Image Journey Blog in July 2024.
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Starting new blog brought many new insights. When explaining AI to others, I found myself researching topics more deeply, and it also served as a useful personal journal.
Getting Into Stable Diffusion XL
In July 2024, Stable Diffusion 3 Medium was a hot topic in the AI community.
While SD3 Medium was impressive, it seemed too complex for a beginner. So, I decided to start with Stable Diffusion XL (SDXL), which had more beginner-friendly guides available.
- Stability AI, which madeStable Diffusion XL available for free.
- AUTOMATIC1111, the developer behind the widely usedStable Diffusion web UI.
- Zuntan03 (Zuntan), who created EasySdxlWebUi to make SDXL more accessible.
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I was blown away by SDXL’s ability to generate expressive anime-style illustrations.
Anime-style art made it easier to capture emotions.
Also, unlike photorealistic images, AI-generated anime art felt more natural to me (though I imagine professional illustrators might have different opinions).
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At first, anime models were challenging because they required specialized tag-based prompts.
However, I discovered anima_pencil-XL by bluepen5805, which had excellent prompt adaptability. Since it allowed natural language inputs, similar to Firefly, I’ve been using it almost exclusively ever since.
High Resolution is Beautiful, But...
One of the first things AI illustration users do to improve image quality is increasing resolution.
While high resolution makes illustrations more visually appealing, it also brings out the AI's tendency toward perfection.
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At first glance, perfect illustrations seem attractive, but over time, they can feel overwhelming.
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Then, I came across an article by K_Kameno and started experimenting with combining oil painting techniques with anime-style illustrations by incorporating the names of Western art masters into my prompts. This helped me explore my own originality.
What Makes a Model Truly Unique?
The anima_pencil-XL model is known for being easy to use, even for beginners.
Many SDXL models recommend using quality-enhancing prompts and negative prompts.
However, the anima_pencil-XL model does not require such adjustments.
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So, I experimented by removing "masterpiece" and other quality-enhancing and negative prompts.
As a result, the characters’ expressions became more natural and expressive, leading me to believe that this is the true strength of the anima_pencil-XL model.
The Shock of Flux.1!
In August 2024, a groundbreaking event occurred—the release of Flux.1, an AI image generator on another level.
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Until then, AI image generators primarily imitated real photos and illustrations.
But with Flux.1, AI could now produce results that, in some cases, surpassed actual photographs.
Flux.1 was originally designed for photorealistic rendering, but blue_pen5805 quickly released an anime adaptation, blue_pencil-flux1, which has since become my go-to model.
The High Fidelity of Flux.1 vs. SDXL's Unrefined Charm
Flux.1 delivers incredibly high-quality textures and polish.
However, because of its refined nature, it tends to produce similar-looking illustrations, limiting variation.
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As I used Flux.1 more, I came to appreciate the versatility of SDXL’s less-polished models. This led me to explore combining the strengths of both.
Staying True to the Basics for Higher Accuracy
With Flux.1, I actively experimented with new technologies.
One of the most surprising discoveries was the improved CLIP-L.
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Initially, I didn’t think text encoders affected image quality.
But when I tried the improved CLIP-L, the entire illustration became much clearer, which shocked me.
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Modern AI is still an imperfect, noise-filled analog system.
With ChatGPT’s help, I created a page to objectively evaluate image differences.
I also explored FP32 format and new text encoders, aiming to improve image quality by staying true to the fundamentals.
Letting AI Generate Freely
AI has learned from over 5 billion images.
Highly trained SDXL models possess incredible composition skills.
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At first, my goal was to control AI and make it generate exactly what I wanted.
However, over time, I realized that the best approach was to let AI generate freely and gently guide it toward a polished final image.
Blending AI with Traditional Digital Techniques
While AI-generated art is evolving, it still doesn’t surpass traditional digital tools.
Since the rise of digital photography in the 1990s, digital image editing has had over 30 years of development, with countless refinements along the way.
Recently, I started integrating HDR processing, a well-established digital image enhancement technique, into my AI-generated illustrations.
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AI models that replicate HDR processing at a human-perceptual level do not yet exist.
AI remains an incomplete tool, requiring human intervention and collaboration to fill in the gaps.
The Evolution of AI Users
This post wasn't about the progress of AI itself—it was about the progress of AI users.
Looking back at my past illustrations, I found it to be a great opportunity for reflection.
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I would like to thank Atlas XV and sunset for encouraging me to write this retrospective.
To everyone on their own AI image generation journey—may you create amazing work in the year ahead!
Thank you for reading!