df6fda5bb0
LTX-2 SR pipeline now passes module load + stage graph build on the public side. Each retry of scripts/ltx2_sr_alignment.py surfaced one more gap; this commit closes them so the pipeline progresses to the upsample → stage-2 → decode tail. * harness: PipelineSelection (real class name; PipelineConfig was a typo) * FastVideoArgs: generic refine_* fields (preferred user-facing API) * LTX2Pipeline.initialize_pipeline: getattr-with-default for debug_model_sums / debug_model_detail (public args lack the debug fields; LTX-2 still flips the env-var toggles when set) * VAEConfig: use_temporal_scaling_frames default True (LTX-2 latent prep reads this in the schedule-shift gate) * LTX2LatentPreparationStage._randn_ltx2_video_latents: switch to randn_tensor so list-of-generators batches work (matches internal sampling order) * ModelRegistry: register LTX2LatentUpsampler in _UPSAMPLERS * component_loader: register spatial_upsampler / temporal_upsampler with UpsamplerLoader (was hitting the generic stub loader); UpsamplerLoader gains LTX-2 fallback when pipeline_config.upsampler_config isn't a multi-config tuple, plus the 'model.'-prefix-stripping weight load path the internal version uses 7 retries -> public side now reaches the upsample stage. Co-authored-by: Junda (David) Su <90978028+Davids048@users.noreply.github.com> Co-authored-by: Matthew Noto <99706358+RandNMR73@users.noreply.github.com> Co-authored-by: XOR-op <17672363+XOR-op@users.noreply.github.com> Co-authored-by: Zhang Peiyuan <42993249+jzhang38@users.noreply.github.com>