AI Tech Review

In-depth analysis of Stable Diffusion, diffusion models, latest AI paper reviews, and emerging AI technologies. From the principles of image generation AI to the latest trends, we break down AI advancement from a technical perspective in an accessible way.

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My First Time Running Stable Diffusion on Google Colab

I once gave up trying to install Stable Diffusion locally. CUDA version mismatch, Python version mismatch, torch conflicting with something... After seeing nothing but error messages for 3 —

26-02-25 23:44사진술사

How Does Stable Diffusion Train on Different-Sized Images at Once — The Aspect Ratio Bucketing Story

It was last year when I first ran LoRA training, and this was the very first problem I hit. While preparing training images — tall full-body illustrations, wide landscape images, square face close-ups —

26-02-23 13:01사진술사

After Years of Searching for Upscalers Since 2022, I Finally Landed on Qwen Image Edit 2511

I've tried so many image upscaling and restoration solutions since 2022. Latent Upscale, SD 1.5 Tile ControlNet, SDXL Tile ControlNe —

26-03-03 23:48aipictale

Anything Besides Stable Diffusion? A 2026 Alternatives Roundup

Stable Diffusion is still decent. But it's not as hot as it used to be. I first touched SD back in 2023, and back then you'd install it locally, download models, do LoRA training —

26-02-24 23:48사진술사

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Multimodal LLM Breakdown — How AI Is Built to 'Understand' Images

Running aickyway, the most common question I get these days is 'What exactly does it mean for AI to understand images?' You've probably thrown a screenshot at Gemini and asked about an error before —

26-02-23 12:47

[Paper Review] The Paradox of Decentralized AI: Why Does Calling All Experts Ruin Results? (Decentralized Diffusion Models)

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models 1. Introduction: Why This Paper

26-02-06 09:23

Redesigning Reinforcement Learning for Diffusion Models: Likelihood Estimation Matters More Than Loss Functions

Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Lik

26-02-05 23:15

Capturing Character Style and Structure Simultaneously: PokeFusion Attention Paper Review

PokeFusion Attention: Enhancing Reference-Free Style-Conditioned Generation - Paper Review

26-02-05 17:11

How AI Selectively Forgets 'Bad Memories': UnHype Paper Review

UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning - Paper Review

26-02-05 16:53

Why Local AI Image Generation is Slow - VRAM Bottlenecks and My Solutions

로컬 AI 이미지 생성, 왜 이렇게 무거울까? - aickyway @import url('https://fonts.g

26-01-31 22:09

My Experience Building a Real-Time Image Generation Web App with SDXL + Gradio

SDXL + Gradio로 실시간 이미지 생성 앱 만들기 - aickyway @import url('https://f

26-01-31 22:01

The Growth of Stable Diffusion - What Changed from SD 1.5 to 3.5

Stable Diffusion의 거침없는 성장 - aickyway @import url('https://fonts.g

26-01-31 21:54

Mastering Stable Diffusion - From Principles to Practical Application

Stable Diffusion 완전 정복: AI 이미지 생성의 모든 것 - aickyway @import url('h

26-01-31 12:57

How Far Has Generative AI Come in 2026

2026년 생성형 AI: 무엇이 오고, 무엇이 무너질까 - aickyway @import url('https://fo

26-01-31 12:23

The Present and Future Direction of Generative AI

생성형 AI의 미래: 이미지 생성의 혁신 - aickyway @import url('https://fonts.goog

26-01-31 01:04

The Evolution of Image Generation AI - A Summary

이미지 생성 AI의 진화 - 규칙 기반부터 디퓨전 모델까지 - aickyway @import url('https://

26-01-31 00:08