Commit History

4 days ago

  1. Add discoverability tags⁠

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  1. Upload README.md with huggingface_hub

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  2. Upload samples/refine_ab_refined_1024x576.mp4 with huggingface_hub

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  3. Upload samples/refine_ab_draft_512x288.mp4 with huggingface_hub

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  1. Upload mmh3-raven-streaming-q4tp.cmf with huggingface_hub

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  2. 0.5.94: the q8_2f build runs on the card — 357.3 s to 171.5 s

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  3. the q8_2f build's host-path cost, measured

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  4. Upload mmh3-turbo-clipproj4b-fl2va-v2-q8_2f.cmf.sha256 with huggingface_hub

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  5. the two-field eight-bit build: q8_2f, 26.90 GB, cortiq verify clean

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  6. 0.5.93: the latent upscaler, the q8_2f build, reference clips

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  7. Upload images/upscaler_lanczos_1024.png with huggingface_hub

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  8. Upload images/upscaler_net_1024.png with huggingface_hub

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  9. the ported latent upscaler: 512x288 render decoded at 1024x576

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  10. the vision-row ClipProj twin fitted for the v2 build, so the container can be rebuilt

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  11. the adapter's cost re-measured on a machine with headroom: 1.06x, which is the noise floor

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  12. adapter A/B still: lora

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  13. adapter A/B still: base

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  14. adapter A/B sample: routed

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  15. adapter A/B sample: lora

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  16. adapter A/B sample: base

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  17. 0.5.92: runtime adapters, the branch router, and what this port does not do yet

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  1. 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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  1. clipproj4b-fl2va v2: split projection — vision rows through a vision-fitted map, faces hold

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  2. clipproj4b-fl2va v2: split projection — vision rows through a vision-fitted map, faces hold

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  3. images: 4x face-crop A/B panels, clipproj v1 vs v2

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  4. images: 4x face-crop A/B panels, clipproj v1 vs v2

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  5. images: 4x face-crop A/B panels, clipproj v1 vs v2

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  6. images: 4x face-crop A/B panels, clipproj v1 vs v2

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  7. images: clipproj v1 vs v2 face A/B frames

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  8. images: clipproj v1 vs v2 face A/B frames

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  1. card: the compact fl2va file — start/end frames on 16-24 GB machines

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  2. 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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  1. README: lead with the three-way size comparison, decide by VRAM up front

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  2. README: one 'Making it smaller' section, a Which-file table keyed on VRAM, three-way sample comparison

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  3. ClipProj section: scope the timings to the card they were taken on

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  4. ClipProj 4B encoder variant: 23.47 GB -> 13.16 GB, 2x faster, still four bits everywhere

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  5. ClipProj 4B prompt encoder: 25.20 GB -> 14.13 GB, everything still q4tp

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  6. samples: ClipProj 4B variant, same prompt and seed as the q4tp/q2tp A-B

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  7. samples: ClipProj 4B variant, same prompt and seed as the q4tp/q2tp A-B

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  8. samples: ClipProj 4B variant, same prompt and seed as the q4tp/q2tp A-B

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  1. add the host-only row: 646.1 s against 60.2 on the card, same machine and seed

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  2. 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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  3. 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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  1. card: name the library that reads this file

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  2. Upload README.md with huggingface_hub

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  3. Upload mmh3-turbo-fl2va-q2tp.cmf with huggingface_hub

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  4. Upload README.md with huggingface_hub

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  5. Upload samples/ab_q4tp.mp4 with huggingface_hub

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  6. Upload samples/ab_q2tp.mp4 with huggingface_hub

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  7. Upload samples/ab_q2tp.gif with huggingface_hub

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