- feat(architecture): Simplified single-service architecture
- feat(diffusion): Core PyTorch diffusion service with FastAPI
- feat(coordinator): Load balancer with health monitoring
- feat(ui): Gradio interface for demo
- feat(akash): SDL files for Akash deployment
- docs(readme): Complete documentation and setup guides
- test(local): Local testing with MPS acceleration on M1 MacBook
- test(services): End-to-end service communication testing
- test(ui): Gradio interface functionality validation
- fix(performance): Optimize for <60s generation time
- fix(compatibility): Ensure M1 MacBook compatibility
- feat(deployment): Manual Akash Console deployment
- feat(monitoring): Service health monitoring and logging
- feat(resilience): Load balancing and failover testing
- test(integration): Multi-node distributed testing
- docs(deployment): Deployment runbook and troubleshooting
- feat(presets): Curated prompt presets for demo
- feat(metrics): Real-time generation metrics display
- feat(visualization): Service topology visualization
- test(demo): Full demo flow rehearsal
- docs(demo): Demo script and backup procedures
- feat(microservices): Split into encoder/UNet/decoder services
- feat(automation): Automated Akash deployment via API
- feat(monitoring): Prometheus metrics and Grafana dashboards
- feat(ui): React/Next.js polished interface
- feat(advanced): Multi-model support and model switching
Phase 1 Complete - MVP foundation with all core services implemented Next: Local testing and validation on M1 MacBook
- ✅ Architecture Design: Simplified approach for 1-2 week timeline
- ✅ Core Services: Diffusion service and coordinator implemented
- ✅ UI Interface: Gradio demo interface ready
- ✅ Deployment: Akash SDL files and deployment scripts
- 🔄 Local Testing: Currently in progress
- ⏳ Akash Deployment: Pending local validation
- ⏳ Demo Preparation: Pending deployment validation