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Running on Zero
Running on Zero
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Upload app.py with huggingface_hub Running
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Upload app.py with huggingface_hub
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Upload app.py with huggingface_hub
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Simplify camera UI to coupled 2D pad + linked yaw/pitch sliders
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Backbone bf16 + fp32-recast hook at head boundary; keep DA3 heads fp32 to fit pack and stay dtype-consistent
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Shrink only DA3 backbone to bf16 (keep heads fp32) to fit 76GB pack while preserving correctness
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Cast DA3 priors to bf16 but keep norm layers fp32 (fixes LayerNorm dtype error) to fit 76GB pack
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Cast DA3 priors to bf16 so full resident set packs into the 76GB NVMe offload dir
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TEMP: probe /data-nvme exact bytes
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TEMP: probe per-model resident byte sizes
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Point ZeroGPU offload dir at /data-nvme block device
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Redirect ZeroGPU offload dir to /dev/shm to fit the 78GB tensor pack; drop diagnostics
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TEMP: probe 90GB fallocate per filesystem
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TEMP: probe O_DIRECT/fallocate support per filesystem
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TEMP: add df -h diagnostic for offload dir sizing
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Adopt standard ZeroGPU recipe: .to('cuda') at module scope, drop _ensure_cuda
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Upload app.py with huggingface_hub
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Upload app.py with huggingface_hub
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Upload app.py with huggingface_hub
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Upload app.py with huggingface_hub
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Upload app.py with huggingface_hub
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Initial MetaView novel view synthesis demo
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initial commit
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