H1yori233/Track-v0

Track-v0

Track-v0 is a 1.3B causal WanTrack image-to-video checkpoint trained with sparse point trajectories.

Training recipe

• —Initialization: WanTrack bidirectional stage-2 checkpoint 600
• —Teacher Forcing: 3,000 steps
• —Causal Distillation: 2,000 steps
• —Self Forcing: 1,000 steps
• —Published weights: Self Forcing checkpoint-1000 student_ema
• —Attention: 3 latent frames per block, local attention 6, sink size 1, relativistic RoPE
• —Training resolution: 832 x 480, 121 pixel frames / 31 latent frames

This repository contains the complete model bundle plus the full EMA transformer. The frozen TrackEncoder parameters are preserved from the initialization checkpoint; the remaining transformer parameters come from the final SF EMA.

Use this checkpoint with the FastVideo WanTrack causal model integration. See training_config.yaml for the exact model and pipeline configuration and export_receipt.json for provenance hashes.

Integrity

• —SF EMA SHA256: fcc60e509917996af05e598ca1c58b4ef6368318b55eaf2f9879d9b031a9befd
• —Full transformer SHA256: 3daa8dfa39ea4623415f6c128830058c8ae84c4a01c2144d3631d81244a4c959
• —FastVideo source commit: 3a398a2bbd90ce511aabbb39996f1d898862192f