Enable DenoisingMoEPredictor in inference#1059
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Introduce DenoisingRangeModelConfig and DenoisingMoECheckpointConfig with contiguous sigma-range validation and data_requirements from the first expert. Made-with: Cursor
… dispatch Add expert compatibility checks, _SigmaDispatchModule for EDM sampler routing, DenoisingMoECheckpointConfig.build(), and generation API matching DiffusionModel. Made-with: Cursor
Made-with: Cursor
Annotate PatchPredictor model parameter with DenoisingScheduleSequentialPredictor via TYPE_CHECKING to avoid import cycles. Made-with: Cursor
Union model config with MoE variant (dacite order: MoE first) and extend Evaluator/EventEvaluator model type hints for DenoisingScheduleSequentialPredictor. Made-with: Cursor
Extend InferenceConfig and Downscaler model types for sequential MoE predictor. Made-with: Cursor
Extend DownscalerConfig and downscaler model types for sequential MoE predictor. Made-with: Cursor
Cover sigma range validation, dispatch routing, boundary tie-break, and out-of-range errors. Made-with: Cursor
…stprocess_generated steps
DenoisingMoEPredictor in inference
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This PR allows a
DenoisingMoEPredictorto be used in the various inference entrypoints. It also allows theCompositePredictorto use one to generate patch predictions.