The original title is "Flux 3 AI: Building a Resilient Multi-Model Video Workbench"

Short summary

Flux 3 AI is a multi-model video generation workbench that uses a capability-driven architecture: each model declares its supported scenes, resolutions, durations, and reference image limits, and the UI renders controls from those declarations. When users switch models, a normalization step validates all fields against the new capability set and falls back to defaults, eliminating provider-specific conditionals. The implementation covers reference image upload pipelines with explicit state management, conditional polling for async jobs, and real-time credit cost estimation.

• •Capability-driven workbench architecture: models declare capabilities, UI renders from declarations, normalization handles model switching
• •Reference image uploads use explicit state management with AbortController cancellation and direct-to-storage uploads
• •Async video generation uses conditional polling that stops when all jobs reach terminal state, with real-time credit cost estimates

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