#DiT

Articles about DiT — exploring patterns, best practices, and real-world implementations in production systems.

1 post tagged with dit. ← Blog home

#A/B Testing (3)#A2A (14)#ADK (8)#AG-UI (6)#AI (9)#AI Adoption (9)#AI Agents (355)#AI Architecture (22)#AI Cost (10)#AI Cost Optimization (8)#AI Engineering (316)#AI Evaluation (9)#AI Financial Engineering (14)#AI Gateway (8)#AI Governance (43)#AI Red Teaming (9)#AI Research (17)#AI Safety (12)#AI Security (35)#AI Strategy (8)#AI in Production (12)#AML (3)#API Design (17)#API Security (9)#APIs (69)#AWS (17)#Accountability (8)#Accounting (9)#Agent Memory (8)#Agent Skills (11)#Agentic AI (25)#Agentic Commerce (12)#Agentic Engineering (12)#Agentic RAG (8)#Agents (4)#Amazon Bedrock (8)#Analytics (3)#Architecture (45)#Attention (3)#Audit (4)#Authentication (11)#Authorization (3)#Automation (13)#Azure (11)#Azure AI Foundry (9)#Backend Engineering (322)#Benchmarks (3)#Best Practices (5)#BigQuery (6)#Billing (8)#Build Systems (4)#Business Finance (8)#Business Strategy (55)#C (8)#CI/CD (23)#Caching (11)#Capital Markets (14)#Card Payments (12)#Cards (13)#Career (30)#Causal Inference (8)#Cellular Automata (8)#Change Management (3)#Checkpointing (4)#Claude Code (8)#Cloud (5)#Cloud Architecture (3)#Cloud Native (10)#Code Review (9)#Coding Agents (20)#Collaboration (6)#Communication (9)#Complexity (8)#Compliance (54)#Computer Networking (9)#Computer Science (40)#Computer Vision (15)#Computer-Use Agents (8)#Concurrency (42)#Consulting (26)#Containers (10)#Context Engineering (19)#Conversational AI (8)#Cost Optimisation (5)#Cost Optimization (3)#Credit (16)#Credit Risk (16)#CrewAI (8)#Crypto (12)#Cryptocurrency (12)#Cryptography (9)#Custody (9)#DSPy (8)#Data (14)#Data Engineering (25)#Data Governance (3)#Data Science (8)#Data Structures (10)#Databases (48)#Deep Learning (20)#Deployment (5)#Design (3)#Design Patterns (10)#DevOps (24)#DevSecOps (22)#Developer Experience (7)#Developer Productivity (15)#Developer Tools (5)#DiT (1)#Differential Privacy (3)#Diffusion Models (10)#Discovery (5)#Distributed Systems (104)#Documentation (3)#Edge AI (8)#Embeddings (21)#Emotional Intelligence (8)#Energy (8)#Engineering (14)#Engineering Culture (3)#Engineering Judgment (7)#Engineering Practices (21)#Enterprise AI (8)#Error Handling (4)#Evaluation (79)#Event-Driven (9)#Event-Driven Architecture (8)#Explainability (3)#Explainable AI (8)#FREE-AI (8)#FX (5)#Feature Engineering (3)#Feature Flags (3)#Feedback (4)#FinOps (23)#FinTech (6)#Financial AI (14)#Financial Engineering (8)#Financial Systems (133)#Fine-Tuning (12)#Fintech (134)#Flutter (8)#Forecasting (10)#Foreign Exchange (5)#Forward Deployed Engineer (43)#Forward Deployed Engineering (8)#Fraud (10)#Fraud Detection (8)#Function Tools (5)#Functional Programming (3)#Fundamentals (23)#Fundraising (8)#GCP (5)#GPU (8)#GUI Automation (8)#Gemma (4)#Generative AI (13)#Git (8)#Go (232)#Go-to-Market (31)#Google ADK (36)#Governance (61)#Granite (6)#Graph Neural Networks (8)#GraphQL (3)#Growth (3)#Guardrails (35)#HIPAA (3)#HTTP (3)#Harness Engineering (8)#Hiring (9)#Hugging Face (8)#Human-in-the-Loop (10)#IBM watsonx (8)#Idempotency (3)#Identity (11)#Image Generation (10)#Inference (8)#Information Retrieval (8)#Integration (3)#Integrations (8)#Intellectual Property (8)#Interfaces (3)#Interpretability (8)#JavaScript (8)#KYC (11)#KYC and AML (12)#Kafka (11)#Knowledge Graphs (11)#Kubernetes (17)#LLM (5)#LLM Inference (8)#LLM Infrastructure (8)#LLM-as-Judge (3)#LLMOps (9)#LLMs (197)#LangChain (8)#LangGraph (11)#Leadership (33)#Ledger (12)#Legal (8)#Lending (14)#Linux (9)#LlamaIndex (8)#Load Balancing (3)#MCP (25)#MLOps (39)#Machine Learning (119)#Marketing (16)#Markets (4)#Mathematical Finance (8)#Memory (16)#Memory Management (5)#Metrics (7)#Microservices (3)#Microsoft Agent Framework (150)#Middleware (6)#Migration (9)#Migrations (8)#Mixture of Experts (5)#Model Risk (3)#Monetization (9)#Monitoring (5)#Monorepo (3)#Multi-Agent (10)#Multi-Agent AI (14)#Multi-Agent Systems (76)#Multimodal (3)#Multimodal AI (11)#NIM (5)#NVIDIA (8)#Networking (3)#OAuth (3)#OWASP (7)#Observability (53)#On-Device AI (8)#Ontology (8)#Open Source (7)#OpenAPI (3)#OpenTelemetry (5)#Operating Systems (9)#Operations (14)#Opinion (6)#Orchestration (10)#Organizational Design (8)#Payment Rails (16)#Payments (55)#People (8)#Performance (56)#Personalization (9)#Platform Engineering (17)#Policy as Code (3)#PreSales (8)#Pricing (4)#Privacy (14)#Privacy Engineering (3)#Process (4)#Product (30)#Product Management (9)#Production (22)#Programming (10)#Programming Languages (48)#Prompt Engineering (86)#Prompt Injection (16)#Proof of Concept (3)#Protocol Buffers (3)#Protocols (9)#Providers (4)#Pydantic AI (8)#Python (142)#Quality (3)#Quantitative Finance (22)#RAG (72)#RBI (3)#REST (5)#Rails (16)#Real-Time (8)#Reasoning Models (8)#Recommender Systems (8)#Reconciliation (5)#RegTech (8)#Regulation (10)#Reinforcement Learning (9)#Reliability (68)#Resilience (4)#Responsible AI (5)#Retrieval (3)#Risk (22)#Risk Management (11)#Rust (32)#SLSA (3)#SRE (23)#SaaS (9)#Sales (9)#Sales Engineering (8)#Scalability (6)#Search (10)#Security (103)#Security Engineering (8)#Self-Evolving Agents (24)#Semantic Web (8)#Sessions (3)#Settlement (9)#Soft Skills (8)#Software (3)#Software Architecture (36)#Software Delivery (9)#Software Engineering (152)#Spanner (4)#Specification Engineering (3)#Speech (8)#Startups (30)#Statistics (8)#Strands (8)#Strategy (6)#Stream Processing (9)#Streaming (38)#Structured Output (4)#Supply Chain Security (10)#Sustainability (9)#System Design (32)#Systems Programming (56)#Technical Sales (6)#Testing (79)#Threat Modeling (3)#Time Series (9)#Tool Use (23)#Tooling (11)#Tools (4)#Trading (8)#Transformers (3)#Treasury (6)#Trust (4)#Type System (3)#Type Systems (12)#TypeScript (8)#Validation (3)#Valuation (3)#Vector Databases (23)#Vector Search (12)#Venture Capital (8)#Version Control (9)#Versioning (7)#Voice AI (9)#Web Development (6)#Webhooks (9)#Workflow (4)#Workflows (14)#eBPF (8)#gRPC (13)#smolagents (8)
Pratik Dhanave · ·5 min read

From U-Net to Diffusion Transformer — The Architecture Underneath the Denoiser

For the first years of diffusion, "the model" meant a U-Net — a convolutional hourglass borrowed from medical image segmentation. Then the same migration that had already run through NLP and vision ran through generation: replace the handcrafted spatial architecture with a plain transformer over patch tokens, and let scale do the work. The Diffusion Transformer (DiT) is now the backbone of the frontier image and video systems — and the reasons why are a case study in what architectures are actually for.

The denoiser was a U-Net — convolutional hourglass, skip connections, interleaved cross-attention — until the Diffusion Transformer re-answered the same requirements generically: patchify the latent, run a standard transformer, condition via adaptive layer norm. The real win is economic: LLM-style scaling curves, inherited infrastructure, and spacetime patches that set up video.

#Diffusion Models#DiT#Transformers#Generative AI#Image Generation#LLMs

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse the blog or explore related topics using the tag cloud above.