Tag: #generative-ai
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 13 posts
Two Paths to 3D — Reconstruction (NeRF & Gaussian Splatting) and Generation (TRELLIS & Hunyuan3D)
The phrase "make a 3D model" hides two completely different problems. Reconstruction brings a scene that actually exists back to life from a handful of photos, while generation conjures something that does not exist from
2026-07-09 · 9 min read #3d#ai#gaussian-splatting#nerf#computer-visionSOTA Music and Audio Generation — Neural Codecs and Generative Models
A lineage-focused overview from audio representations (waveform, spectrogram, neural codec) to autoregressive audio language models, diffusion-based audio, and text-to-music conditioning. We analyze the principles of the
2026-06-30 · 9 min read #ai-papers#audio-generation#music-generation#neural-codec#audio-language-modelSOTA Video Generation Models Explained — Spatiotemporal Diffusion Transformers
A look at the two fundamental challenges of video generation, temporal consistency and compute cost, through the lens of spatiotemporal latent patches and diffusion transformers. We analyze the concepts Sora introduced,
2026-06-30 · 8 min read #ai-papers#video-generation#diffusion-transformer#spatiotemporal#text-to-videoAI 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, 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-learningGemini API in Production: Prompting, Guardrails, Evaluation, and Cost Control
A production guide to building on the Gemini API with practical prompting, tool and schema design, safety handling, evaluation loops, and cost-aware operating patterns.
2026-03-17 · 4 min read #gemini#generative-ai#ai#llmops#prompt-engineeringGenerative 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 Transformer (DiT) Architecture Analysis: The Shift from U-Net to Transformer
An analysis of the Scalable Diffusion Models with Transformers (DiT) paper. We cover the motivations behind transitioning from U-Net backbones to Transformers, adaLN-Zero conditioning, scaling laws, and the downstream im
2026-03-03 · 10 min read #ai-papers#diffusion-transformer#dit#generative-ai#image-generationComplete 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-aiWan Text-to-Video/Image-to-Video and Z Image Turbo Complete Analysis: Architecture and Applications of Next-Gen Video/Image Generation Models
A complete analysis of Wan video generation models and Z Image Turbo covering architecture, performance, and practical applications.
2026-03-01 · 36 min read #wan#text-to-video#image-to-video#z-image-turbo#video-generationHunyuanVideo and LTX-2 Complete Analysis: Architecture, Performance, and Practical Guide to Open-Source Video Generation Models
A deep analysis of Tencent HunyuanVideo (13B) and Lightricks LTX-2 (19B) architectures, training methodologies, and performance benchmarks, along with a comprehensive comparison of the open-source video generation ecosys
2026-03-01 · 30 min read #hunyuan-video#ltx-video#ltx2#text-to-video#image-to-videoACE-Step: A New Paradigm in AI Music Generation — Complete Analysis of Architecture, Training Methods, and Practical Applications
An in-depth analysis of the ACE-Step music generation model covering its architecture, training methodology, and text-to-music generation principles, with comparisons against competing models like MusicGen, Suno, and Udi
2026-03-01 · 38 min read #ace-step#music-generation#ai-music#deep-learning#diffusion