Commit History

25 days ago

  1. Energy: calibrated whole-node factor 1.26 (range 1.23-1.29), replacing the provisional 1.17

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26 days ago

  1. Energy table: whole-node estimate column (provisional x1.17); key facts point to the energy note

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  2. About these energy figures: GPU-only measurement, whole-node multiplier

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  3. Why we built Agate: why we released it

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  4. Acknowledgements: link the allocation to the architecture study; one GPU-hour total (325.0)

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  5. Card: Why we built Agate (architecture study for glyph/symbol generation; adapter and flow-matching testbed)

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  6. Card: reword why we built Agate (general image generation as a benchmark-friendly proxy)

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  7. Card: released to share our architectural efforts

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  8. Card: why we built Agate (scope: glyph/symbol and vector-native font generation)

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  9. WebGPU fast build (v2): fp16-compute step graphs, GPU-resident sampling; webgpu/ (v1) unchanged for the live Space⁠

    Incorporo-user +1: Claude Opus 5.5
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  10. WebGPU (ONNX) files for the Agate WebGPU Space; the generator also outputs the thinker plan⁠

    Incorporo-user +1: Claude Opus 5.5
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  11. Blur two battery cells with unprompted nudity (prompt 25); disclose it in the safety section

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30 days ago

  1. Card: link the ComfyUI nodes and single-file weights

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  2. Add ComfyUI single-file guide checkpoint for autoguide (bf16)⁠

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  3. Add ComfyUI single-file checkpoint (generator + text encoder, bf16)⁠

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  4. Card: plan-then-paint concept figure with real thinker plans, full benchmark for 5 models, references, energy update

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  5. Card: link the WebGPU demo Space

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  6. Card: renderer has no cross-attention (text reaches it only via the thinker); stat-strip labels fixed; caption-swap and anneal explained

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  7. Card: sample strip, at-a-glance table, jump menu, reordered sections

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  8. Card: loss curves, training dashboard, run measurements, FCDM and design citations, autoguidance formula, browser build

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  9. Pareto frontier on full model size (generator + text encoder + decoder)

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  10. Card: marginal-risk statement

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  11. Card: parameter count with TAESD vs SD-VAE

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  12. Card: fact-check corrections (sources, PixArt compute, caption fields, dataset filtering wording, param count with TAESD vs SD-VAE)

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  13. Card: where a small model wins

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  14. Card: Pareto frontier, judge detail by area, verified dataset size

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  15. Card: correct training topology and wall-clock time

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  16. Card: preview status, not yet converged

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  17. Card: red-teaming (CSAM, nudity) and training-speed statements

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  18. Card: training data and safety section, full-benchmark table, specimen stat strip, energy chart

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  19. Agate Preview 001: weights, pipeline, model card, figures

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  20. initial commit

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