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Graph Update: pip in /. #1487386988
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fix(tests): make the suite pass on a clean CI runner
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fix(tests): make the suite pass on a clean CI runner
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fix(models): import matplotlib in the hilbert demo block too
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fix(models): import matplotlib in the hilbert demo block too
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fix(models): keep matplotlib off the model import path
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fix(models): keep matplotlib off the model import path
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Graph Update: pip in /. #1487292649
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feat(jepa): finish the objective wiring and widen test coverage
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test(trainer): cover gradient accumulation across the sharding heuristic
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feat(training): expose the flow matching, min-SNR and FID options
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feat(inputs): generalized conditioning encoders, audio as a first-cla…
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feat(models): UNet3D rebuilt from our own blocks, inflatable from tra…
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feat(models): video DiT on the shared backbone
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feat: legacy checkpoint conversion script for the new param layout
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feat(models): real dual-stream MM-DiT
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refactor: one model registry as the single source of truth for constr…
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docs: fix the inference example to match the sampler API
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Phase 0: safety net — vendored VAE, test suite, CI gating
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ci: run pytest on every push/PR, publish to PyPI only on releases
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feat: hybrid dit support in inference pipeline
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feat: hybrid dit support in inference pipeline
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