- Use DistilledPipeline constructor (not from_config)
- Use ImageConditioningInput namedtuple for image conditioning
- Use LoraPathStrengthAndSDOps for LoRA config
- Use QuantizationPolicy with fp8_cast sd_ops directly
- Update spatial_upsampler to required x2-1.1 model
- Update gemma_root to google/gemma-3-12b-it-qat-q4_0-unquantized
- Handle video output as Iterator[torch.Tensor] from pipeline
- Flesh out README with all model download commands, endpoint docs, env vars, frame/resolution tables
- FastAPI with job polling: POST /generate, GET /jobs/{id}, /download, /health
- SQLite job persistence (aiosqlite), background task processing
- LTX-2.3 DistilledPipeline via native ltx-pipelines (editable install from submodule)
- Configurable model paths, LoRA support, FP8 quantization via env vars
- Single-concurrency GPU lock for safe inference
- LTX-2 as git submodule under libs/
mteehan