Commit History

the adapter's cost re-measured on a machine with headroom: 1.06x, which is the noise floor
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adapter A/B still: lora
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adapter A/B still: base
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adapter A/B sample: routed
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adapter A/B sample: lora
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adapter A/B sample: base
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0.5.92: runtime adapters, the branch router, and what this port does not do yet
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card: field notes from discussions #1/#2/#4 — 24 GB frame budgets, keyframe VAE encode on CPU, kill disarmed during prompt encode (0.5.80), P-core QoS
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clipproj4b-fl2va v2: split projection — vision rows through a vision-fitted map, faces hold
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clipproj4b-fl2va v2: split projection — vision rows through a vision-fitted map, faces hold
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images: 4x face-crop A/B panels, clipproj v1 vs v2
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images: 4x face-crop A/B panels, clipproj v1 vs v2
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images: 4x face-crop A/B panels, clipproj v1 vs v2
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images: 4x face-crop A/B panels, clipproj v1 vs v2
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images: clipproj v1 vs v2 face A/B frames
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images: clipproj v1 vs v2 face A/B frames
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card: the compact fl2va file — start/end frames on 16-24 GB machines
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clipproj + fl2va in one 14.5 GB file: the 4B tower and the VAE encoder join the compact build; first-frame conditioning verified frame-for-frame
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README: lead with the three-way size comparison, decide by VRAM up front
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README: one 'Making it smaller' section, a Which-file table keyed on VRAM, three-way sample comparison
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ClipProj section: scope the timings to the card they were taken on
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ClipProj 4B encoder variant: 23.47 GB -> 13.16 GB, 2x faster, still four bits everywhere
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ClipProj 4B prompt encoder: 25.20 GB -> 14.13 GB, everything still q4tp
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samples: ClipProj 4B variant, same prompt and seed as the q4tp/q2tp A-B
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samples: ClipProj 4B variant, same prompt and seed as the q4tp/q2tp A-B
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samples: ClipProj 4B variant, same prompt and seed as the q4tp/q2tp A-B
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add the host-only row: 646.1 s against 60.2 on the card, same machine and seed
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0.5.68: measured on the current build — 60.2 s at four steps, per-stage table, and how to use two cards
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0.5.68: the render is on the card end to end — 91.6 s at 8 steps, and a seed finally reproduces
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card: name the library that reads this file
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Upload README.md with huggingface_hub
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