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Waypoint-1.1-Small is a 2.3 billion parameter control-and-text-conditioned causal diffusion model. It is a transformer architecture utilizing rectified flow, distilled via self forcing with DMD. The model can autoregressively generate new frames given historical frames, actions, and text.
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Waypoint-1.1-Small is a continued post training from Waypoint-1-Small, using newer
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# Capabilities:
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Waypoint-1.1-Small is a 2.3 billion parameter control-and-text-conditioned causal diffusion model. It is a transformer architecture utilizing rectified flow, distilled via self forcing with DMD. The model can autoregressively generate new frames given historical frames, actions, and text.
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Waypoint-1.1-Small is a continued post training from Waypoint-1-Small, using newer techniques like Self Forcing++.
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# Capabilities:
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