Tag: #stable-diffusion
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 11 posts
AI Image Generation 2026 Deep Dive - Midjourney v7 · DALL·E 4 · Imagen 3 · FLUX · Stable Diffusion 3.5 · Ideogram · Recraft
In 2026 the era of one model doing everything is over. Midjourney v7 owns aesthetic taste, DALL·E 4 owns multimodal integration, Imagen 3 owns realism, FLUX owns open-weight photoreal, Stable Diffusion 3.5 is back as the
2026-05-16 · 27 min read #ai-image-generation#midjourney#dall-e#imagen#fluxAI Image Generation 2026 — Flux / Midjourney 7 / Ideogram 3 / Recraft / SD 3.5 / GPT-4o / Imagen 4 Deep Dive
AI image generation in 2026 is no longer a single-model story. Black Forest Labs Flux 1.1 Pro and Kontext set a new bar for photorealistic open-weight quality, Midjourney 7 cemented itself as the aesthetic standard, Ideo
2026-05-15 · 27 min read #ai-image#image-generation#flux#midjourney#ideogramAI Image Generation 2026 — Flux, Imagen 4, Midjourney v7, Ideogram, Recraft, Firefly, DALL-E, Stable Diffusion: An Honest Comparison
The image companion to the AI music and AI video posts. The two real shifts in 2025-2026: open-weight Flux took SD-XL's throne, and Midjourney v7 reset the bar for consumer aesthetic. Imagen 4 GA, Ideogram v3 typography,
2026-05-14 · 25 min read #ai-image#flux#imagen#midjourney#ideogramDiffusion Models Deep Dive — DDPM, Latent Diffusion, Classifier-Free Guidance, DDIM, Stable Diffusion Complete Guide (2025)
Diffusion models — the foundation of Stable Diffusion, DALL-E, Midjourney, and Sora. This post dissects diffusion models from scratch. Forward/Reverse diffusion process, DDPM and the variational lower bound, the score-ba
2026-04-15 · 25 min read #diffusion#generative-ai#stable-diffusion#ddpm#machine-learningAI Supercomputer at Home: Study LLMs on NVIDIA DGX Spark and Create Content with ComfyUI
Run 200B-parameter LLMs locally on NVIDIA DGX Spark ($3,999) and generate FLUX/SDXL images with ComfyUI. Complete guide with specs, benchmarks, setup instructions, and cost analysis — the era of personal AI supercomputer
2026-03-21 · 37 min read #nvidia#dgx-spark#comfyui#local-ai#llmGenerative AI & Diffusion Models: Complete Guide from Stable Diffusion to Video Generation
A complete technical guide covering DDPM math, Stable Diffusion architecture, ControlNet, LoRA fine-tuning, and Sora video generation.
2026-03-17 · 12 min read #generativeai#diffusion-model#stable-diffusion#controlnet#videogenerationComputer Vision Complete Guide: CNN, ViT, YOLO, and Stable Diffusion
A comprehensive guide to computer vision covering CNN architectures (ResNet, EfficientNet), YOLO object detection, SAM segmentation, Vision Transformers (ViT, DINOv2), Stable Diffusion generative models, and production d
2026-03-17 · 14 min read #computer-vision#cnn#yolo#vit#stable-diffusionGenerative AI Complete Guide: Master GANs, VAEs, and Diffusion Models
A complete guide to mastering the core architectures of generative AI. Understand VAE, GAN, DDPM diffusion models, and Stable Diffusion from the ground up with mathematical derivations and complete PyTorch implementation
2026-03-17 · 22 min read #generative-ai#gan#vae#diffusion-model#stable-diffusionDiffusion Model Paper Survey: Evolution of Image Generation from DDPM to Stable Diffusion, DiT, and SDXL
A comprehensive survey covering the DDPM/DDIM forward-reverse diffusion theory, score-based models, Latent Diffusion (Stable Diffusion) VAE+U-Net architecture, Classifier-free Guidance, DiT (Diffusion Transformer) adaLN-
2026-03-12 · 18 min read #ai-papers#diffusion-model#ddpm#stable-diffusion#ditComplete Guide to Text-to-Image Model Training Methodologies: From GAN to Flow Matching
An in-depth, paper-based analysis of training methodologies for Text-to-Image generative model architectures spanning GAN, VAE, Diffusion, and Flow Matching. Comprehensively covers training strategies and fine-tuning tec
2026-03-01 · 51 min read #deep-learning#text-to-image#diffusion#stable-diffusion#generative-aiComplete Analysis of the DDPM Paper: The Mathematics and Principles of Diffusion Models that Create Images from Noise
An in-depth analysis of the DDPM paper by Ho et al. We derive the Forward/Reverse diffusion process, variational lower bound (ELBO), noise scheduling, and simplified training objective from formulas, and provide a compre
2026-03-01 · 31 min read #ddpm#diffusion-model#generative-model#score-matching#stable-diffusion